957 Dataset Jobs - Page 21

M3J Technical Services is seeking a Data Integration & Reporting Analyst adept at automating reports, extracting and cleansing data, and crafting impactful visualizations for KPI’s using tools like Power BI and Excel. You'll develop data-driven applications for desktop, web, and mobile platforms, ensuring our business remains agile and poised for growth. If you're passionate about leveraging data to drive strategic solutions, join our team! Local candidates based in Vadodara, Gujarat preferred. Responsibilities: Collaborate with stakeholders to design and publish Power BI reports aligned with business goals. Analyze and understand business processes to develop reports tailored to specific operational needs. Prepare and transform data from sources such as SQL Server, Excel, and SharePoint using Microsoft Fabric tools, including Dataflow Gen 2, Power Query, Lakehouse, and other related tools. Develop data models and optimize report performance, including row-level security. Maintain clear documentation and provide user training and support for Power BI. Actively contribute to process improvement initiatives by leveraging the Microsoft Power Platform (Power Apps, Power Automate, SharePoint) to enhance data collection and workflow automation. Qualifications: Bachelor’s degree in Computer Science, Industrial Engineering, Data Science, or Related field; or equivalent work experience. Solid understanding of BI concepts and data visualization best practices. 3+ years of hands-on experience with Power BI development. Strong skills in DAX, Power Query (M), and data modeling. Proficient in SQL and working with relational databases. 5+ years of working experience with Excel and Power Query. Experience with Fabric and other data integration tools. High attention to detail and the ability to work independently. Strong analytical and organizational skills. Excellent written and verbal communication skills. Results-oriented, proactive, and possessing a high level of integrity. Microsoft Certified: Power BI Data Analyst Associate is a plus Preferred Qualifications: Experience with Power BI Service administration (fabric, dataflows, workspaces, security, and dataset refresh). Familiarity with Microsoft Fabric, Power Automate, or SharePoint. Able to work independently and take initiative to improve data collection and reporting using modern tools and best practices. Language Requirement: Fluent in English Schedule: Monday to Friday Working Hours: 8am to 5pm Central US Time, or must be available to work at least 4 hours of the day during 8am to 4pm US Central Time Zone. Work Location: Vadodara, Gujarat, India (Preference will be given to candidates located in Vadodara, Gujarat.) Job Types: Full-time, Permanent Benefits: Flexible schedule Paid sick time Paid time off Schedule: Monday to Friday Supplemental Pay: Yearly bonus Application Question(s): Please share with us your desired salary. Have you implemented reuse of dataflows across multiple reports or workspaces? Would you be open to presenting a Power BI report you developed professionally — and explaining your approach to data connection, transformation, and solving performance or business logic challenges? Work Location: In person

About Us Turing is one of the world’s fastest-growing AI companies, pushing the boundaries of AI-assisted software development. Our mission is to empower the next generation of AI systems to reason about and work with real-world software repositories. You’ll be working at the intersection of software engineering, open-source ecosystems, and frontier AI. Project Overview We're building high-quality evaluation and training datasets to improve how Large Language Models (LLMs) interact with realistic software engineering tasks. A key focus of this project is curating verifiable software engineering challenges from public GitHub repository histories using a human-in-the-loop process. Why This Role Is Unique Collaborate directly with AI researchers shaping the future of AI-powered software development. Work with high-impact open-source projects and evaluate how LLMs perform on real bugs, issues, and developer tasks. Influence dataset design that will train and benchmark next-gen LLMs. What does day-to-day look like: Review and compare 3–4 model-generated code responses for each task using a structured ranking system. Evaluate code diffs for correctness, code quality, style, and efficiency. Provide clear, detailed rationales explaining the reasoning behind each ranking decision. Maintain high consistency and objectivity across evaluations. Collaborate with the team to identify edge cases and ambiguities in model behavior. Required Skills Atleast 3+ years of professional software engineering experience at top-tier product companies (e.g., Stripe, Datadog, Snowflake, Dropbox, Canva, Shopify,Intuit,PayPal, Research at IBM/GE/Honewell/Scheinder etc. ). Strong fundamentals in software design, coding best practices, and debugging. Excellent ability to assess code quality, correctness, and maintainability. Proficient with code review processes and reading diffs in real-world repositories. Exceptional written communication skills to articulate evaluation rationale clearly. Prior experience with LLM-generated code or evaluation work is a plus. Bonus Points Experience in LLM research, developer agents, or AI evaluation projects. Background in building or scaling developer tools or automation systems. Engagement Details Commitment: ~20 hours/week (partial PST overlap required) Type: Contractor (no medical/paid leave) Duration: 1 month (starting next week; potential extensions based on performance and fit) Rates: $40–$100/hour, based on experience and skill level.

Backdrop AVIZVA is a Healthcare Technology Organization that harnesses technology to simplify, accelerate, & optimize the way healthcare enterprises deliver care. Established in 2011, we have served as strategic enablers for healthcare enterprises, helping them enhance their overall care delivery. With over 14 years of expertise, we have engineered more than 150 tailored products for leading Medical Health Plans, Dental and Vision Plan Providers, PBMs, Medicare Plan Providers, TPAs, and more. Overview of The Role As a Senior System Analyst within a product development team in AVIZVA, you will be one of the front- liners of the team spearheading your product’s solution design activities alongside the product owners, system architect, lead developers while collaborating with all business & technology stakeholders. Job Responsibilities Gather & analyze business, functional, data requirements with the PO, & relevant stakeholders and derive system requirements from the same. Work with the system architect to develop an understanding of the product's architecture, components, Interaction, flow, and build clarity around the technological nuances & constructs involved. Develop an understanding of the various datasets relevant to the industry, their business significance and logical structuring from a data modeling perspective. Conduct in-depth industry research around datasets pertinent to the underlying problem statements. Identify, (data) model & document the various entities, relationships & attributes alongwith appropriate cardinality and normalization. Apply ETL principles to formulate & document data dictionaries, business rules, transformation & enrichment logic, for various datasets in question pertaining to various source & target systems in context. Define data flow, validations & business rules driving the interchange of data between components of a system or multiple systems. Define requirements around system integrations and exchange of data such as systems involved, services (APIs) involved, nature of integration, handshake details (data involved, authentication, etc.) Identify use-cases for exposure of data within an entity/dataset via APIs and define detailed API signatures and create API documentation. Provide clarifications to the development team around requirements, system design, integrations, data flows, scenarios. Support to other product teams dependent on the APIs, integrations defined by your product team, in understanding the endpoints, logics, business, entity structure etc. Provide backlog grooming support to the Product Owner through activities such as functional analysis and data analysis. Skills & Qualifications Bachelor’s or Master’s degree in Computer Science or any other analytically inclined field of study. At least 5 years of relevant experience in roles such as Business Analyst, Systems Analyst or Business System Analyst. Experience in analysing & defining systems involving varying levels of complexity in terms of underlying components, data, integrations, flows, etc. Experience working with data (structured, semi-structureed), data modeling, writing database queries with hands-on SQL, and working knowledge of Elasticsearch indexes. Experience with Unstructured data will be a huge plus. Experience of identifying & defining entities & APIs, writing API specifications, & API consumer specifications. Ability to map data from various sources to various consumer endpoints such as a system, a service, UI, process, sub-process, workflow etc. Experience with data management products based on ETL principles, involving multitudes of datasets, disparate data sources and target systems. A strong analytical mindset with a proven ability to understand a variety of business problems through stakeholder interactions and other methods to ideate the most aligned and appropriate technology solutions. Exposure to diagrammatic analysis & elicitation of business processes, data & system flows using BPMN & UML diagrams, such as activity flow, use-cases, sequence diagrams, DFDs, etc. Exposure to writing requirements documentation such as BRD, FRD, SRS, Use-Cases, User-Stories etc. An appreciation for the systems’ technological and architectural concepts with an ability to speak about the components of an IT system, inter-component interactions, database, external and internal data sources, data flows & system flows. Experience (at least familiarity) of working with the Atlassian suite (Jira, & Confluence). Experience in product implementations & customisations through system configurations will be an added plus. Experience of driving UX design activities in collaboration with graphic & UI design teams, by means of enabler tools such as Wireframes, sketches, flow diagrams, information architecture etc. will be an added plus. Exposure to UX designing & collaboration tools such as Figma, Zeplin, etc. will be an added plus. Awareness or prior exposure to Healthcare & Insurance business & data will be a huge advantage.

Job Title: Data Enrichment & Entry Specialist Location: Noida Role Overview As a Data Enrichment & Entry Specialist, you will be responsible for gathering, refining, and optimizing data from multiple sources. You will play s key role in ensuring data accuracy, enhancing usability, and supporting business intelligence initiatives. This position requires enthusiasm, adaptability, and a proactive mindset to handle new tasks efficiently. Key Responsibilities Collect, enter, and validate data from various portals and sources. Perform data enrichment by identifying inconsistencies and improving dataset quality. Organize and maintain structured databases for easy accessibility. Collaborate with teams to support ongoing data-driven projects. Handle new tasks as assigned, demonstrating flexibility and problem-solving skills. Qualifications & Skills Bachelor's degree in a relevant field or equivalent experience. Proficiency in data entry tools, spreadsheets, and database management systems. Ability to adapt to new technologies and learn quickly. Strong attention to detail and analytical thinking. Enthusiastic, self-motivated, and eager to take on new challenges Job Types: Full-time, Permanent Pay: ₹10,000.00 - ₹15,000.00 per month Schedule: Day shift Morning shift Education: Bachelor's (Required) Experience: Data entry: 1 year (Required) Language: English (Required) Location: Gautam Budh Nagar, Uttar Pradesh (Required) Work Location: In person

CMIE (Centre for Monitoring Indian Economy Pvt Ltd) was established 47 years ago in 1976. CMIE is engaged in conducting large scale all India household surveys, building databases on households, enterprises and the economy. CMIE develops services around these databases. These services deliver raw data, analytical tools and analysis. CMIE provides services to a broad range of consumers, including government bodies, academic institutions, financial markets, business enterprises, professionals, and the media. CMIE employs over 400 persons spread across over 20 offices in India. About CPHS CPHS (Consumer Pyramids Household Survey) is India’s largest regular household survey. Through CPHS, CMIE has collected data on over 232,000 households and 1.19 million individuals since 2014. The survey collects information on household demographics, individual identities, employment, health status, financial inclusion, individual and household incomes, consumption expenditures, ownership of assets and intentions to buy them, household amenities and consumer sentiments. CPHS provides the most recent, most frequent and most comprehensive data onhousehold well-being in the world, which makes it a great dataset, to understand the well-being of Indian households About your role as a Field Information Officer. Field Information Officer (FIO) is a key position in the CPHS survey execution team. FIO is a supervisory and managerial position in the survey execution system. FIOs are expected to understandand master CMIE’s CPHS execution system. The primary job of the FIO is to hire, train and supervise the team of FTMs (Field Team Members) who are surveyors of CPHS. FIOs are expected to ensure proper recruitment and training of the team of FTMs, validate and keep a very close check on the quality of data collected by FTMs. The FIO is also expected to engage with the survey teams and participate in the continuous improvement of the survey execution. Field Information Officer will be expected to: 1. Attend training sessions and develop relevant skills and knowledge, and take regular tests. 2. Train new FTMs and conduct refresher trainings for new projects. 3. Translate English manuals accurately in local languages/dialects. 4. Hire his/her team of surveyors (FTMs) to conduct the survey 5. Plan and implement the survey strictly in the scheduled time frame, as per the CMIE plan. 6. Regularly train and motivate the team. 7. Respond to & follow up with the households by calling & by physical visits as required. 8. Regular validation of the data collected by FTMs 9. Regularly report to the concerned manager on the conduct of field operations. 10. Assume & take ownership of the responsibility for the quality of information, collected by theteam 11. Build a strong relationship with households through, field visits, telephone calls, messages and emails. Job Types: Full-time, Permanent Pay: ₹18,000.00 - ₹21,000.00 per month Benefits: Cell phone reimbursement Schedule: Monday to Friday Ability to commute/relocate: Agra, Uttar Pradesh: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Should have Knowledge of western UP like Meerut, Hapur, Saharanpur,Muzaffarnagar Should have knowledge of Western UP like Meerut, Hapur, Saharanpur and Muzaffarnagar Experience: total work: 2 years (Preferred) Willingness to travel: 50% (Preferred) Application Deadline: 07/07/2025 Expected Start Date: 26/06/2025

Backdrop AVIZVA is a Healthcare Technology Organization that harnesses technology to simplify, accelerate, & optimize the way healthcare enterprises deliver care. Established in 2011, we have served as strategic enablers for healthcare enterprises, helping them enhance their overall care delivery. With over 14 years of expertise, we have engineered more than 150 tailored products for leading Medical Health Plans, Dental and Vision Plan Providers, PBMs, Medicare Plan Providers, TPAs, and more. Overview Of The Role As a Senior System Analyst within a product development team in AVIZVA, you will be one of the front- liners of the team spearheading your product’s solution design activities alongside the product owners, system architect, lead developers while collaborating with all business & technology stakeholders. Job Responsibilities Gather & analyze business, functional, data requirements with the PO, & relevant stakeholders and derive system requirements from the same. Work with the system architect to develop an understanding of the product's architecture, components, Interaction, flow, and build clarity around the technological nuances & constructs involved. Develop an understanding of the various datasets relevant to the industry, their business significance and logical structuring from a data modeling perspective. Conduct in-depth industry research around datasets pertinent to the underlying problem statements. Identify, (data) model & document the various entities, relationships & attributes alongwith appropriate cardinality and normalization. Apply ETL principles to formulate & document data dictionaries, business rules, transformation & enrichment logic, for various datasets in question pertaining to various source & target systems in context. Define data flow, validations & business rules driving the interchange of data between components of a system or multiple systems. Define requirements around system integrations and exchange of data such as systems involved, services (APIs) involved, nature of integration, handshake details (data involved, authentication, etc.) Identify use-cases for exposure of data within an entity/dataset via APIs and define detailed API signatures and create API documentation. Provide clarifications to the development team around requirements, system design, integrations, data flows, scenarios. Support to other product teams dependent on the APIs, integrations defined by your product team, in understanding the endpoints, logics, business, entity structure etc. Provide backlog grooming support to the Product Owner through activities such as functional analysis and data analysis. Skills & Qualifications Bachelor’s or Master’s degree in Computer Science or any other analytically inclined field of study. At least 5 years of relevant experience in roles such as Business Analyst, Systems Analyst or Business System Analyst. Experience in analysing & defining systems involving varying levels of complexity in terms of underlying components, data, integrations, flows, etc. Experience working with data (structured, semi-structureed), data modeling, writing database queries with hands-on SQL, and working knowledge of Elasticsearch indexes. Experience with Unstructured data will be a huge plus. Experience of identifying & defining entities & APIs, writing API specifications, & API consumer specifications. Ability to map data from various sources to various consumer endpoints such as a system, a service, UI, process, sub-process, workflow etc. Experience with data management products based on ETL principles, involving multitudes of datasets, disparate data sources and target systems. A strong analytical mindset with a proven ability to understand a variety of business problems through stakeholder interactions and other methods to ideate the most aligned and appropriate technology solutions. Exposure to diagrammatic analysis & elicitation of business processes, data & system flows using BPMN & UML diagrams, such as activity flow, use-cases, sequence diagrams, DFDs, etc. Exposure to writing requirements documentation such as BRD, FRD, SRS, Use-Cases, User-Stories etc. An appreciation for the systems’ technological and architectural concepts with an ability to speak about the components of an IT system, inter-component interactions, database, external and internal data sources, data flows & system flows. Experience (at least familiarity) of working with the Atlassian suite (Jira, & Confluence). Experience in product implementations & customisations through system configurations will be an added plus. Experience of driving UX design activities in collaboration with graphic & UI design teams, by means of enabler tools such as Wireframes, sketches, flow diagrams, information architecture etc. will be an added plus. Exposure to UX designing & collaboration tools such as Figma, Zeplin, etc. will be an added plus. Awareness or prior exposure to Healthcare & Insurance business & data will be a huge advantage.

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you. What You’ll Do Apply the knowledge of data characteristics and data supply pattern, develop rules and tracking process to support data quality model. Prepare data for analytical use by building data pipelines to gather data from multiple sources and systems. Integrate, consolidate, cleanse and structure data for use by our clients in our solutions. Perform design, creation, and interpretation of large and highly complex datasets. Stay up-to-date with the latest trends and advancements in GCP and related technologies, actively proposing and evaluating new solutions. Understand best practices for data management, maintenance, reporting and security and use that knowledge to implement improvements in our solutions. Implement security best practices in pipelines and infrastructure. Develop and implement data quality checks and troubleshoot data anomalies. Provide guidance and mentorship to junior data engineers. Review dataset implementations performed by junior data engineers. What Experience You Need BS degree in a STEM major or equivalent discipline; Master’s Degree strongly preferred 5+ years of experience as a data engineer or related role Cloud certification strongly preferred Advanced skills using programming languages such as Python or SQL and intermediate level experience with scripting languages Intermediate level understanding and experience with Google Cloud Platforms and overall cloud computing concepts, as well as basic knowledge of other cloud environments Experience building and maintaining moderately-complex data pipelines, troubleshooting issues, transforming and entering data into a data pipeline in order for the content to be digested and usable for future projects Experience designing and implementing moderately complex data models and experience enabling optimization to improve performance Demonstrates advanced Git usage and CI/CD integration skills What Could Set You Apart Experience in AI/ML engineering. Knowledgeable in cloud security and compliance. Experience mentoring engineers or leading training. Proficient with data visualization tools. Cloud certification such as GCP strongly preferred Self Starter Excellent communicator / Client Facing Ability to work in fast paced environment Flexibility work across A/NZ time zones based on project needs We offer a hybrid work setting, comprehensive compensation and healthcare packages, attractive paid time off, and organizational growth potential through our online learning platform with guided career tracks. Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference! Who is Equifax? At Equifax, we believe knowledge drives progress. As a global data, analytics and technology company, we play an essential role in the global economy by helping employers, employees, financial institutions and government agencies make critical decisions with greater confidence. We work to help create seamless and positive experiences during life’s pivotal moments: applying for jobs or a mortgage, financing an education or buying a car. Our impact is real and to accomplish our goals we focus on nurturing our people for career advancement and their learning and development, supporting our next generation of leaders, maintaining an inclusive and diverse work environment, and regularly engaging and recognizing our employees. Regardless of location or role, the individual and collective work of our employees makes a difference and we are looking for talented team players to join us as we help people live their financial best. Equifax is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

LivePerson (NASDAQ: LPSN) is the global leader in enterprise conversations. Hundreds of the world's leading brands — including HSBC, Chipotle, and Virgin Media — use our award-winning Conversational Cloud platform to connect with millions of consumers. We power nearly a billion conversational interactions every month, providing a uniquely rich data set and safety tools to unlock the power of Conversational AI for better customer experiences. At LivePerson, we foster an inclusive workplace culture that encourages meaningful connection, collaboration, and innovation. Everyone is invited to ask questions, actively seek new ways to achieve success, and reach their full potential. We are continually looking for ways to improve our products and make things better. This means spotting opportunities, solving ambiguities, and seeking effective solutions to the problems our customers care about. Overview: We are looking for an experienced Data Engineer to provide data engineering expertise and support to various analytical products of LivePerson, and assist in migrating our existing data processing ecosystem from Hadoop (Spark, MapReduce, Java, and Scala) to Databricks on GCP. The goal is to leverage Databricks' scalability, performance, and ease of use to enhance our current workflows. You will: Assessment and Planning: Review the existing Hadoop infrastructure, including Spark and MapReduce jobs. Analyze Java and Scala codebases for compatibility with Databricks. Identify dependencies, libraries, and configurations that may require modification. Propose a migration plan with clear timelines and milestones. Code Migration: Refactor Spark jobs to run efficiently on Databricks. Migrate MapReduce jobs where applicable or rewrite them using Spark DataFrame/Dataset API. Update Java and Scala code to comply with Databricks' runtime environment. Testing and Validation: Develop unit and integration tests to ensure parity between the existing and new systems. Compare performance metrics before and after migration. Implement error handling and logging consistent with best practices in Databricks. Optimization and Performance Tuning: Fine-tune Spark configurations for performance improvements on Databricks. Optimize data ingestion and transformation processes. Deployment and Documentation: Deploy migrated jobs to production in Databricks. Document changes, configurations, and processes thoroughly. Provide knowledge transfer to internal teams if required. Required skills: 6+ years of experience in Data Engineering with focus on building data pipelines, data platforms and ETL (Extract, transform, Load) processes on Hadoop and Databricks. Strong Expertise in Databricks (Spark on Databricks, Delta Lake, etc.) preferably on GCP. Strong expertise in the Hadoop ecosystem (Spark, MapReduce, HDFS) with solid foundations of Spark and its internals. Proficiency in Scala and Java. Strong SQL knowledge. Strong understanding of data engineering and optimization techniques. Solid understanding on Data governance, Data modeling and enterprise scale data lakehouse platform Experience with test frameworks like Great Expectations Minimum Qualifications : Bachelor's degree in Computer Science or a related field Certified Databricks Engineer- Preferred You should be an expert in: Databricks with spark and its internals (3 years) - MUST Data engineering in Hadoop ecosystem (5 years) - MUST Scala and Java (5 years) - MUST SQL - MUST Benefits: Health: Medical, Dental and Vision Time away: vacation and holidays Development: Access to internal professional development resources. Equal opportunity employer Why you'll love working here : As leaders in enterprise customer conversations, we celebrate diversity, empowering our team to forge impactful conversations globally. LivePerson is a place where uniqueness is embraced, growth is constant, and everyone is empowered to create their own success. And, we're very proud to have earned recognition from Fast Company, Newsweek, and BuiltIn for being a top innovative, beloved, and remote-friendly workplace. Belonging at LivePerson: We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local law. We are committed to the accessibility needs of applicants and employees. We provide reasonable accommodations to job applicants with physical or mental disabilities. Applicants with a disability who require reasonable accommodation for any part of the application or hiring process should inform their recruiting contact upon initial connection. The talent acquisition team at LivePerson has recently been notified of a phishing scam targeting candidates applying for our open roles. Scammers have been posing as hiring managers and recruiters in an effort to access candidates' personal and financial information. This phishing scam is not isolated to only LivePerson and has been documented in news articles and media outlets. Please note that any communication from our hiring teams at LivePerson regarding a job opportunity will only be made by a LivePerson employee with an @ liveperson.com email address. LivePerson does not ask for personal or financial information as part of our interview process, including but not limited to your social security number, online account passwords, credit card numbers, passport information and other related banking information. If you have any questions and or concerns, please feel free to contact recruiting-lp@liveperson.com

Role Overview We are looking for an AI/ML Engineer with 3 to 5 years of experience in designing, developing, and deploying AI-powered applications. The ideal candidate should have strong hands-on experience in LLMs, prompt engineering, reasoning workflows (e.g., Chain-of-Thought), and agentic AI frameworks alongside a solid foundation in machine learning. Key Responsibilities Fine-tune reasoning-based LLMs using Chain-of-Thought datasets and techniques. Utilize multiple LLMs (ChatGPT, Claude, Gemini, etc.) and understand their strengths and limitations. Optimize LLM interactions through advanced prompt engineering, few-shot CoT, and iterative refinement. Leverage Retrieval-Augmented Generation (RAG) to combine external context with LLM reasoning. Use platforms like Hugging Face/GitHub to manage, fine-tune, and deploy pretrained models. Implement agentic AI workflows (LangGraph, CrewAI, or custom orchestration systems). Develop scalable backend architectures using FastAPI, Uvicorn, Celery, and async pipelines. Build intelligent automation pipelines involving scraping, entity extraction, and enrichment. Apply best practices in LLM engineering, including: Model training workflows (train/val/test splits, dataset curation) Fine-tuning and instruction-tuning with open-source models Reasoning task evaluation (factuality, coherence, step accuracy) Stay on the cutting edge of AI advancements, from open-weight LLMs to novel prompting strategies. Required Skills & Expertise Excellent communication skills — ability to articulate AI concepts clearly. Hands-on experience in: Prompt engineering for LLM-based applications Agentic AI frameworks (LangGraph, CrewAI, or custom-built) Chain-of-Thought reasoning, few-shot learning, and task decomposition Retrieval-Augmented Generation (RAG) pipelines Web scraping tools (Playwright, Octoparse, BeautifulSoup) System architecture (FastAPI, Uvicorn, Celery, async queues) AI/ML platforms (Hugging Face, Transformers, GitHub-based models) ML Frameworks: PyTorch (preferred), TensorFlow, or Keras Core fundamentals: Data structures, statistics, linear algebra, and optimization Bonus: Familiarity with reasoning datasets (GSM8K, HotpotQA, OpenBookQA) Experience with evaluation metrics for generative models (BLEU, ROUGE, EM, custom validators) Comfortable working across APIs, scraping flows, and backend systems Required Background 3 to 5 years of work experience in AI/ML, backend engineering, or NLP-heavy roles A portfolio of real-world projects — shipped products, agents, scrapers, or research tools Why Join Us? Be part of a stealth-stage, AI-first company solving real-world problems Build reasoning-aware systems powered by LLMs and automation Work at the intersection of trend intelligence, agents, and research Ship fast, own what you build, and have a voice in product direction Competitive salary If you’re passionate about building smart systems that think , we’d love to connect.

- Graduate or equivalent (up to 1 year of experience) - Candidate must demonstrate language proficiency in French language for the following: verbal, writing, reading and comprehension. Required language level: B2.2/BA/Advanced Diploma - Good English language proficiency: verbal, writing, reading and comprehension - Strong analytical and communication skills - Passion for delivering a positive customer experience, and maintain composure in difficult situations - Ability to effectively and efficiently complete challenging goals or assignments within defined SLA Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging the latest technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. Key job responsibilities • Process annotation & data analysis tasks with high efficiency and quality in a fast paced environment • Provide floor support to Operations manager in running day to day operations working closely with Data Associates • Handle work prioritization and deliver based on business needs • Track and report ops metrics and ensure delivery on all KPIs and SLAs • You will work closely with your team members and managers to drive process efficiencies and explore opportunities for automation • You will strive to enhance the productivity and effectiveness of the data generation and annotation processes • The tasks will be primarily repetitive in nature and will require the individual to make judgment-based decisions keeping in mind the guidelines provided in the SOP. Basic level of Excel knowledge Familiarity with online retail (e-commerce industry) Previous experience as AI trainers, knowledge of AI and NLP Experience with Artificial Intelligence interaction, such as prompt generation and open AI's Experience in content or editorial writing Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

DESCRIPTION Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging the latest technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. Key job responsibilities Process annotation & data analysis tasks with high efficiency and quality in a fast paced environment Provide floor support to Operations manager in running day to day operations working closely with Data Associates Handle work prioritization and deliver based on business needs Track and report ops metrics and ensure delivery on all KPIs and SLAs You will work closely with your team members and managers to drive process efficiencies and explore opportunities for automation You will strive to enhance the productivity and effectiveness of the data generation and annotation processes The tasks will be primarily repetitive in nature and will require the individual to make judgment-based decisions keeping in mind the guidelines provided in the SOP. BASIC QUALIFICATIONS Graduate or equivalent (up to 1 year of experience) Candidate must demonstrate language proficiency in French language for the following: verbal, writing, reading and comprehension. Required language level: B2.2/BA/Advanced Diploma Good English language proficiency: verbal, writing, reading and comprehension Strong analytical and communication skills Passion for delivering a positive customer experience, and maintain composure in difficult situations Ability to effectively and efficiently complete challenging goals or assignments within defined SLA PREFERRED QUALIFICATIONS Basic level of Excel knowledge Familiarity with online retail (e-commerce industry) Previous experience as AI trainers, knowledge of AI and NLP Experience with Artificial Intelligence interaction, such as prompt generation and open AI's Experience in content or editorial writing Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

DESCRIPTION Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging the latest technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. Key job responsibilities Process annotation & data analysis tasks with high efficiency and quality in a fast paced environment Provide floor support to Operations manager in running day to day operations working closely with Data Associates Handle work prioritization and deliver based on business needs Track and report ops metrics and ensure delivery on all KPIs and SLAs You will work closely with your team members and managers to drive process efficiencies and explore opportunities for automation You will strive to enhance the productivity and effectiveness of the data generation and annotation processes The tasks will be primarily repetitive in nature and will require the individual to make judgment-based decisions keeping in mind the guidelines provided in the SOP. BASIC QUALIFICATIONS Graduate or equivalent (up to 1 year of experience) Candidate must demonstrate language proficiency in French language for the following: verbal, writing, reading and comprehension. Required language level: B2.2/BA/Advanced Diploma Good English language proficiency: verbal, writing, reading and comprehension Strong analytical and communication skills Passion for delivering a positive customer experience, and maintain composure in difficult situations Ability to effectively and efficiently complete challenging goals or assignments within defined SLA PREFERRED QUALIFICATIONS Basic level of Excel knowledge Familiarity with online retail (e-commerce industry) Previous experience as AI trainers, knowledge of AI and NLP Experience with Artificial Intelligence interaction, such as prompt generation and open AI's Experience in content or editorial writing Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

About Clarifai Clarifai is a leading, full-lifecycle deep learning AI platform for computer vision, natural language processing, and audio recognition. We help organizations transform unstructured images, video, text, and audio data into structured data at a significantly faster and more accurate rate than humans would be able to do on their own. Founded in 2013 by Matt Zeiler, Ph.D. Clarifai has been a market leader in AI since winning the top five places in image classification at the 2013 ImageNet Challenge. Clarifai continues to grow with employees remotely based throughout the United States and in Tallinn, Estonia. We have raised $100M in funding to date, with $60M coming from our most recent Series C, and are backed by industry leaders like Menlo Ventures, Union Square Ventures, Lux Capital, New Enterprise Associates, LDV Capital, Corazon Capital, Google Ventures, NVIDIA, Qualcomm and Osage. Clarifai is proud to be an equal opportunity workplace dedicated to pursuing, hiring, and retaining a diverse workforce. Impact We believe that world-class AI is built on a foundation of world-class data. The AI Data Lead for will own the critical, end-to-end process of creating and curating the high-quality datasets that fuel our models. You will be a power user of Clarifai's suite of automated data labeling products, providing direct feedback to our product and engineering teams to drive continuous improvement. Initially, this role will concentrate on building our next-generation vision datasets, with a heavy emphasis on full-motion video. Over time, the scope will strategically expand to include the development of our large-scale language datasets for advanced NLP models. Opportunity Dataset Strategy & Pipeline Development: Collaborate with ML and product teams to define data requirements, starting with complex video and image use cases and expanding into text and language. Design and execute a comprehensive strategy for data acquisition and augmentation. Build, scale, and maintain robust data pipelines to ingest, process, and version large-scale multimedia datasets. Third-Party Labeling & Internal Tool Management (Primary Focus): Leverage Clarifai's automated and AI-assisted labeling tools to efficiently pre-label data and manage human-in-the-loop workflows. Serve as the primary lead for external data labeling vendors who will often verify or enrich AI-generated labels, ensuring projects are on time and within budget. Author crystal-clear labeling instructions for complex tasks, from object tracking in video to, eventually, named entity recognition in text. Implement and manage a rigorous quality assurance (QA) framework for both AI- and human-generated labels. Product Feedback & Improvement Loop: Act as a key internal customer for Clarifai's data labeling products. Provide structured, expert feedback to our product and engineering teams to identify bugs, suggest feature enhancements, and guide the product roadmap. Continuously evaluate and pioneer new strategies for combining automated labeling with human verification to maximize quality and efficiency. Leadership & Collaboration: Lead and mentor a focused set of data labeling partners. Foster a culture of data excellence, ownership, and continuous improvement. Communicate project status, challenges, and outcomes effectively to all stakeholders. Keep track of budgets. Requirements 3+ years in data engineering, with a proven history of building and managing complex data pipelines. Direct, hands-on experience managing third-party data labeling services or in-house annotation teams. Experience working with large-scale vision datasets (image or video). Deep understanding of data labeling processes and quality metrics. Strong proficiency in Python and SQL. Experience with cloud data services (AWS, GCP, or Azure). Exceptional project management, communication, and vendor management skills. A meticulous eye for detail and an unwavering commitment to data quality. Great to Have Specific experience with the complexities of full-motion video datasets and annotation (e.g., temporal consistency, event tagging). Experience in an environment where you regularly used internal tools and provided feedback for their improvement ("dogfooding"). Experience with large-scale language or text datasets. Previous experience in a technical leadership or mentorship role. Experience using a variety of data annotation platforms and tools.

Responsibilities Completely own the design and delivery of the UI layer, be a strong contributor to the product vision, and drive team planning. Designing and developing new user-facing features using Angular and Next.js. Building reusable components and front-end libraries for the future by applying functional programming concepts. Translating designs and wireframes into high-quality code. Optimizing components for maximum performance across a vast array of web-capable devices and browsers. Built for scale and high performance. Promote strong collaboration within a cross-functional team, including design and product management. Mentor and coach junior team : Minimum 2-6 years of front-end development experience. Solid grasp of design patterns with the ability to translate design to low-level code. Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model, HTML, and CSS. Deep understanding of modern web applications design architecture, good API design patterns, performance, and scale. Experience in modern technologies such as JavaScript, TypeScript, Angular, Next.js, and React.js. Familiarity with RESTful APIs and data structures libraries. Hands-on with RxJS. Familiarity with modern front-end build pipelines and tools. Experience with common front-end development tools such as Webpack, NPM, Angular Material, or any other component library. Ability to understand business requirements and translate them into technical requirements. Hands-on with any visualization libraries and comfortable working with large dataset-driven analytical applications. Experience handling and coaching teams. Ability and comfortably work in a fast-paced, start-up mode. (ref:hirist.tech)

We are looking for an AI/ML Engineer with expertise in Text-to-Speech (TTS) systems to train and optimize a Glow-TTS model for Indian languages, starting with Telugu/ other indian languages. The goal is to develop a high-quality, natural-sounding TTS system using datasets like AI4Bharat or other relevant sources. Selected Intern's Day-to-day Responsibilities Include Dataset preparation & preprocessing: Identify and curate high-quality Telugu or other Indian languages speech datasets (AI4Bharat, IndicTTS, or custom datasets) Clean, normalize,e and preprocess text and audio data (phoneme alignment, noise removal, sample rate standardization) Model training & optimization: Fine-tune GlowTTS or Coqui-TTS (or comparable neural TTS architecture) for Telugu/other Indian language speech synthesis Ensure loss convergence by tuning hyperparameters (learning rate, batch size, duration predictors) Experiment with transfer learning from existing multilingual TTS models (if applicable) GPU training & performance tuning (good to have): Optimize training for GPU efficiency (NVIDIA CUDA, mixed precision) Monitor validation loss, attention alignments, and speech quality (MOS testing) Debug training instability (vanishing gradients, overfitting, etc.) Deployment & evaluation: Integrate trained model into an inference pipeline (ONNX, TensorRT, or PyTorch runtime) Benchmark latency, speech quality, and speaker similarity against existing TTS solutions About Company: Coinearth Technologies Pvt Ltd is a dynamic and innovative product-based company established in 2017. While some public records indicate a later incorporation date of 2020, their official communication states their founding year as 2017, suggesting a period of initial development and strategic planning before formal registration. Based in Hyderabad, Telangana, India, the company specializes in building and deploying cutting-edge applications, particularly in the Web3 and fintech sectors. Core Focus: Product Development and Deployment Coinearth Technologies primarily operates as a product company, focusing on creating proprietary software solutions rather than offering traditional IT services. Their expertise lies in the entire lifecycle of app development, from conceptualization and design to robust deployment and ongoing maintenance.

About The Role Grade Level (for internal use): 07 Department overview S&P Global, EBS is specialist provider of managed and installed data services, delivering world-class data, technology and service solutions focusing on the complex and evolving Index and ETF data needs. Used in the front, middle and back office by the world’s leading Investment Banks, Asset Managers, Fund Administrators, Prime Brokers and Hedge Funds. Position summary The successful candidate will play a key part in maintaining the smooth running of the day-to-day operations of EBS data offering and working with cross functional teams to identify solutions in problem areas to remove operational inefficiencies. On the data enhancement aspect, the candidate will use advanced Excel, VBA and SQL skills translating operational requirements into technical solutions and tools. The team operates 24/7, thus interested candidates will be required to work in all shifts including US hours. Duties & accountabilities New hire needs to be well versed with index concepts and their calculations. Validate the accuracy of data received from various sources. Ensure that this information is stored in databases and is accurately reflected on products by creating or running data quality checks and standards. Ensure the quality and time-efficient production of financial information to respective products. Respond to data queries from both internal and external clients and provide support to stakeholders. Monitor and research market events in order to anticipate changes. Ensure a deep understanding of the markets and business events. Work with and involve cross functional teams to provide Root Cause Analysis to identify solutions in problem areas. Consolidate information around the dataset leading to the establishment of best practices. Perform automated/semi-automated checks to ensure production of high quality content. Ensure MOW’s are documented and maintained. Coordinate and Delegate work as per team requirements Identify data quality improvement projects, and good design practices Intermediate Excel and SQL skills, including being able to write basic SQL queries. Proven ability to utilize data and systems tools available Good verbal, written, and presentation skills. Education And Experience MBA (Finance) / Post Graduate or equivalent in ideally Finance. The candidate should have a good understanding of equities & capital markets. Specific knowledge around Index/ETF and Corporate Actions highly preferred. 0-2 years of business operations experience and must be flexible in addressing dynamic business needs. Commercial Awareness Must have a strong interest in finance and be up to date with current global financial market news. Management requirements : NA Personal competencies Personal Impact The candidate must be a self-starter, able to take on multiple tasks at a time, hardworking, and efficient. Communication Must demonstrate superior communication skills and is expected to interact professionally across business units within the company. Teamwork Being a team player is a vital aspect of the position, and it is expected that the candidate will work well individually, as well as in a global team environment About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit www.spglobal.com/marketintelligence. What’s In It For You? Our Purpose Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our Benefits Include Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring And Opportunity At S&P Global At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf OPRTON203 - Entry Professional (EEO Job Group) Job ID: 316422 Posted On: 2025-06-24 Location: Bangalore, Karnataka, India

Kyndryl Software Engineering, Data Science Mumbai, Maharashtra, India Hyderabad, Telangana, India Bengaluru, Karnataka, India Pune, Maharashtra, India Posted on Jun 24, 2025 Apply now Who We Are At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The Role As a Data Engineer at Kyndryl, you'll be at the forefront of the data revolution, crafting and shaping data platforms that power our organization's success. This role is not just about code and databases; it's about transforming raw data into actionable insights that drive strategic decisions and innovation. Technical Professional to Design, Build and Manage the infrastructure and systems that enable organizations to collect, process, store, and analyze large volumes of data. He will be the architects and builders of the data pipelines, ensuring that data is accessible, reliable, and optimized for various uses, including analytics, machine learning, and business intelligence. In this role, you'll be engineering the backbone of our data infrastructure, ensuring the availability of pristine, refined data sets. With a well-defined methodology, critical thinking, and a rich blend of domain expertise, consulting finesse, and software engineering prowess, you'll be the mastermind of data transformation. Your journey begins by understanding project objectives and requirements from a business perspective, converting this knowledge into a data puzzle. You'll be delving into the depths of information to uncover quality issues and initial insights, setting the stage for data excellence. But it doesn't stop there. You'll be the architect of data pipelines, using your expertise to cleanse, normalize, and transform raw data into the final dataset—a true data alchemist. Armed with a keen eye for detail, you'll scrutinize data solutions, ensuring they align with business and technical requirements. Your work isn't just a means to an end; it's the foundation upon which data-driven decisions are made – and your lifecycle management expertise will ensure our data remains fresh and impactful. Technical Professional to Design, Build and Manage the infrastructure and systems that enable organizations to collect, process, store, and analyze large volumes of data. You will be the architects and builders of the data pipelines, ensuring that data is accessible, reliable, and optimized for various uses, including analytics, machine learning, and business intelligence. Key Responsibilities Designing and Building Data Pipelines: Creating robust, scalable, and efficient ETL (Extract, Transform, Load) or ELT (Extract, Load, Transform) pipelines to move data from various sources into data warehouses, data lakes, or other storage systems. Ingest data which is structured, unstructured, streaming, realtime. Data Architecture: Designing and implementing data models, schemas, and database structures that support business requirements and data analysis needs. Data Storage and Management: Selecting and managing appropriate data storage solutions (e.g., relational databases, NoSQL databases, data lakes like HDFS or S3, data warehouses like Snowflake, BigQuery, Redshift). Data Integration: Connecting disparate data sources, ensuring data consistency and quality across different systems. Performance Optimization: Optimizing data processing systems for speed, efficiency, and scalability, often dealing with large datasets (Big Data). Data Governance and Security: Implementing measures for data quality, security, privacy, and compliance with regulations. Collaboration: Working closely with Data Scientists, Data Analysts, Business Intelligence Developers, and other stakeholders to understand their data needs and provide them with clean, reliable data. Automation: Automating data processes and workflows to reduce manual effort and improve reliability. So, if you're a technical enthusiast with a passion for data, we invite you to join us in the exhilarating world of data engineering at Kyndryl. Let's transform data into a compelling story of innovation and growth. Your Future at Kyndryl Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here. Who You Are You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others. Required Technical and Professional Expertise 4 - 6 years of experience as an Data Engineer . Programming Languages: Strong proficiency in languages like Python, Java, Scala Database Management: Expertise in SQL and experience with various database systems (e.g., PostgreSQL, MySQL, SQL Server, Oracle). Big Data Technologies: Experience with frameworks and tools like Apache Spark, Ni-Fi, Kafka, Flink, or similar distributed processing technologies. Cloud Platforms: Proficiency with cloud data services from providers like Microsoft Azure (Azure Data Lake, Azure Synapse Analytics), Fabric, Cloudera etc Data Warehousing: Understanding of data warehousing concepts, dimensional modelling, and schema design. ETL/ELT Tools: Experience with data integration tools and platforms. Version Control: Familiarity with Git and collaborative development workflows. Preferred Technical And Professional Experience Degree in a scientific discipline, such as Computer Science, Software Engineering, or Information Technology Being You Diversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we’re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That’s the Kyndryl Way. What You Can Expect With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed. Get Referred! If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address. Apply now See more open positions at Kyndryl

Location: Udaipur Key Responsibilities Enterprise Development: Experience in developing, deploying, and maintaining enterprise level Power BI reports and dashboards. Data Source Integration: Must have experience handling and getting data from different data sources like API, SQL, AZURE, Big Query, MongoDB, Python Script. Advanced Queries: Must have extensive expertise in DAX queries and M queries including time intelligence, Statistical Analysis, Q&A query development for on-demand analysis and what-if analysis for mathematical simulation model development. Back-end Development: Experience in Power BI back-end development using semantic layer, data flow, power query, streaming dataset development along with REST API for real-time streaming dashboards. Query Optimization: Expertise in Direct query operation and hybrid models deployment for real-time reporting with a very large amount of data by deploying efficient query optimization. Microsoft Fabric: Experience in Microsoft Fabric. Front-end Development: Extensive experience in Power BI front end development, UI/UX, Data Modelling, and Semantic layer implementation along with writeback feature implementation using Power Apps and Python/R visual development. Excel Proficiency: Experience in Excel/advanced Excel is mandatory. Requirements: Communication Skills: Good communication and comprehension skills. Business Analysis: Business requirement understanding and use case identification. Documentation: Experience in requirement documentation. Presentation Skills: Good presentation and coordination skills. Additional Skills: Experience in SQL, Big Query, Azure is a plus. Educational Background: A Computer Science / MCA background will be preferred.

Please note that the Job will close at 12am on Posting Close date, so please submit your application prior to the Close Date" Design and implement processes and solutions associated with a wide variety of data sets used for data/text mining, analysis to support informed business decisions. Gain insight into key business and deliverables by examining structured and unstructured data from multiple disparate sources. Effectively use current and emerging technologies to evaluate trends and develop actionable insights and recommendations to management, via the information available for analysis. Learn to use data, statistical and quantitative analysis, to drive decision making. Grade : 13 "Please note that the Job will close at 12am on Posting Close date, so please submit your application prior to the Close Date" Who We Are At FedEx, moving the world doesn’t only mean delivering for our customers around the globe. Moving the world is also about creating what’s next. We are Team FedEx consists of 500,000+ people strong around the world. The work we all do comes down to one purpose: to provide our customers with outstanding experiences as we connect the world to what’s next. This isn’t a place to get just a job, here you get a career for life. It’s a place to enjoy constant change, growth, and progress in your career. Our willingness to innovate and transform is what keeps us at the forefront of our industry. With curiosity, inventiveness, and entrepreneurial spirit, we keep finding new and better ways to deliver results – for our customers, for our people and for the planet. Here you will be given the flexibility and the empowerment to reimagine the new, spread your wings and see your impact. By doing so, we are motivated to be better together. And together, we always manage to drive and deliver excellence. Our Values Our culture values empower us to deliver great results. With one FedEx culture, we: Take care of each other | Commit to do good | Own outstanding | Drive business results | Create what’s next Awards FedEx has consistently ranked among the top 20 in the most admired companies in the “World’s Most Admired Companies” report, according to a survey published in FORTUNE magazine since 2001. Ethisphere named FedEx as One of the 2023 World’s Most Ethical Companies®. At FedEx GDX, a data analyst is a pivotal member of the core analytics team or a Domain analytics team, specializing in extracting actionable insights from diverse datasets to inform strategic decision-making. Collaborating closely with analytics engineers, their primary responsibility is to answer complex business questions through in-depth analyses and the construction of informative dashboards. This involves synthesizing data from various sources, working in tandem with analytics engineers to ensure the efficient transformation and preparation of data for meaningful analysis. Position Overview: As a Data Analyst, you will collaborate closely with analytics engineers, answering complex business questions through in-depth analyses and constructing informative dashboards. Your responsibilities will include strategic decision support, advanced analysis techniques, dashboard development, data integration with data engineers, insights presentation, and active engagement in problem-solving and innovation. What Your Main Responsibilities Are Collaborate with business stakeholders to understand strategic objectives and formulate data-driven solutions to address key business questions. Apply advanced statistical methods to uncover patterns, trends, and opportunities within the data. Design and develop interactive dashboards for visual representations of key performance indicators. Collaborate closely with data engineers to integrate data from multiple sources, ensuring a comprehensive and cohesive dataset for analysis. Take the lead in presenting meaningful insights to stakeholders in a clear and compelling manner. Actively engage in problem-solving activities, leveraging innovative approaches to contribute to the development of creative data solutions. Skills What we are looking for Strong verbal and written communication skills. Ability to think critically and analytically to solve complex business problems. Meticulous attention to detail for accurate data analysis and reporting. Strong problem-solving skills to address challenges and find innovative solutions. Effective time management skills to handle multiple tasks and meet deadlines. Collaborative mindset to work effectively in cross-functional teams, including collaboration with data engineers. Understanding of business processes and objectives to align data analyses with organizational goals. Qualifications Bachelor's degree in a relevant field (e.g., Business, Data Science, Computer Science). Master’s degree preferred. Relevant work experience as a Data Analyst. Experience in a senior or lead data analyst role or similar positions. Proficiency in statistical analysis and data modeling. Strong proficiency in SQL for querying databases. Familiarity with scripting languages like Python or R for data manipulation and analysis. Expertise in using visualization tools such as Tableau, Power BI, or similar (Power BI strongly preferred). Familiarity with Git and GitHub for collaboration. Familiarity with DBT is a plus. Knowledge of A/B testing principles to evaluate and optimize website/application changes. What You'll Bring To The Team Collaboration, quality work, commercial acumen, leading on projects with minimum guidance, willingness to learn and grow. What You Can Expect To Get Attractive remuneration package includes: Attractive remuneration package includes: Salary as per agreed compensation structure Tuition Assistance Incentives (Bonus / AIC) Great Working Environment Spread your wings and take ownership of your career with opportunities to advance through internal promotions, job rotations, and cross-functional projects. Complimentary 24/7 access to our learning platforms to support you in becoming who you want to be Work-life balance programs including hybrid work arrangement. WFH (work from home) and office Health & wellness, employee assistance, and rewards and recognition programs Special employee discounts on shipping, travel, and much more… Equal opportunities commitment Our greatest asset at FedEx is our people. We are committed to building a diverse, equitable and inclusive workforce, and offer equal opportunities, fairness and respect to all regardless of who you are. We encourage you to apply even if you feel your experience does not align with all the aspects in the job description as you could be exactly who we need for this or another opportunity. We do not tolerate discrimination or harassment based on race, color, ethnicity, national origin, religion, sex, age, genetic information, citizenship, disability, marital status, pregnancy, sexual orientation, gender identity, gender expression, veteran status or any other characteristic protected under national, state or local laws. We will reasonably accommodate team members and third parties with physical and mental disabilities. Interested? Everyone at FedEx has a part to play. It’s about coming up with smart solutions, remaining resilient in the face of setbacks, and going above and beyond to get the job done. And whether you’re a business leader or delivery driver, you’ll be empowered to take responsibility and overcome each challenge in your own way. If this position and working environment sound like the right fit for you, then do no wait and please apply today. Analytical Skills, Accuracy & Attention to Detail, Planning & Organizing Skills, Influencing & Persuasion Skills, Presentation Skills FedEx was built on a philosophy that puts people first, one we take seriously. We are an equal opportunity/affirmative action employer and we are committed to a diverse, equitable, and inclusive workforce in which we enforce fair treatment, and provide growth opportunities for everyone. All qualified applicants will receive consideration for employment regardless of age, race, color, national origin, genetics, religion, gender, marital status, pregnancy (including childbirth or a related medical condition), physical or mental disability, or any other characteristic protected by applicable laws, regulations, and ordinances. Our Company FedEx is one of the world's largest express transportation companies and has consistently been selected as one of the top 10 World’s Most Admired Companies by "Fortune" magazine. Every day FedEx delivers for its customers with transportation and business solutions, serving more than 220 countries and territories around the globe. We can serve this global network due to our outstanding team of FedEx team members, who are tasked with making every FedEx experience outstanding. Our Philosophy The People-Service-Profit philosophy (P-S-P) describes the principles that govern every FedEx decision, policy, or activity. FedEx takes care of our people; they, in turn, deliver the impeccable service demanded by our customers, who reward us with the profitability necessary to secure our future. The essential element in making the People-Service-Profit philosophy such a positive force for the company is where we close the circle, and return these profits back into the business, and invest back in our people. Our success in the industry is attributed to our people. Through our P-S-P philosophy, we have a work environment that encourages team members to be innovative in delivering the highest possible quality of service to our customers. We care for their well-being, and value their contributions to the company. Our Culture Our culture is important for many reasons, and we intentionally bring it to life through our behaviors, actions, and activities in every part of the world. The FedEx culture and values have been a cornerstone of our success and growth since we began in the early 1970’s. While other companies can copy our systems, infrastructure, and processes, our culture makes us unique and is often a differentiating factor as we compete and grow in today’s global marketplace.

Summary Novartis is looking for Senior Analyst for its International BA team. The Senior Analyst will be responsible for providing analytical support on high complexity reports to internal customers, contributing to business decision-making by commercial analytics data and identifying trends. The role includes working in multiple commercial analytics projects, exploring innovative solutions, and developing reporting platforms based on business inputs. The Senior Analyst will work collaboratively with various cross-functional teams to meet business requirements. They will also participate in performance tracking, knowledge sharing, and support day-to-day business-related tasks. The role requires being detail-oriented, having a knack for interpreting data trends and insights, and being adept at collaborative work. About the Role Key Responsibilities: Possess strong analytical skills to collect, organize, analyze, and disseminate significant amounts of information Interpret complex and granular data, Analyse results and derive actionable insights. Clearly communicate data-driven insights to stakeholders and influence decision-making processes Develop, maintain, and improve accurate, actionable, and insightful reporting solutions and dashboards Manage and organize data sets from databases to find patterns and trends in data while ensuring data integrity and accuracy Use data analytics to understand customer behavior and improve marketing effectiveness Drive standardization of reports across brands Establish and maintain positive relationships with key stakeholders and understand their perspectives Conduct extensive business process analysis to identify areas for process improvement and efficiency Stay informed on industry trends and developments to advise management on strategies for business growth Build and maintain standard operating procedures (SOPs), quality checklists to enable excellent quality outputs and knowledge repositories Minimum Requirements: MBA with Graduate / Postgraduate in Medicine (MD/MBBS/BDS) Pharmacy / Life Sciences/ bachelor’s degree in marketing, Statistics, or a related field. 3-6 years of proven ability in business analytics in a market research firm or pharmaceutical company or Pharma KPO/ Consulting 3-6 years of overall experience in digital marketing, web analytics, good knowledge of data modelling, SQL and robust technical problem-solving skills. Expertise in MS Excel, SQL, Power Query, and ETL tools like Alteryx, DataIKU, VBA, or KNIME. Knowledge of Statistical modelling or ML is preferred 3+ years of extensive experience working with Power BI Proficiency in statistical analysis tools (R, Python, or similar) will be preferred High agility to work across projects, dataset and technologies Excellent presentation and stakeholder management skills Exceptional written and verbal communication skills, with the ability to translate complex data into actionable insights Ability to operate optimally in an international matrix environment. Strong teammate who is dynamic and result oriented Understanding of healthcare terminology and real-world patient level data will be desirable Ability to multi-task, work in a demanding global team environment, work under tight deadlines. Develop and maintain strong individual and team performance. Desired Skills: Preferred: Knowledge of the disease areas within the Pharma sector, with strong leadership and communication skills Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards Division Operations Business Unit Universal Hierarchy Node Location India Site Hyderabad (Office) Company / Legal Entity IN10 (FCRS = IN010) Novartis Healthcare Private Limited Functional Area Marketing Job Type Full time Employment Type Regular Shift Work No Accessibility and accommodation Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to [email protected] and let us know the nature of your request and your contact information. Please include the job requisition number in your message. Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.

Private Markets Research & Outreach Analyst Hyderabad, India Data Management 296891 Job Description About The Role: Grade Level (for internal use): 07 The Team/Profile : The Primary Research team predominantly supports the outreach needs of the content organization to access unique and exclusive data directly from the source. We secure information that cannot be found anywhere else in the public domain through the establishment of relationships with third parties to be able to provide the most comprehensive data possible to S&P Global Market Intelligence clients. As a newly formed multicultural team spread across 6 locations, currently in a state of transformation and looking to evolve and expand our operations, it is an exciting time for the team, and we look forward to welcoming new talented Primary Researchers to our family. The Impact: The Data Analyst will primarily work alongside the Market Intelligence dataset teams on a workflow involving contacting firms to gather missing information. The tasks would require calling and email outreach to companies daily through internal tools. As a member of the Primary Research team, you will be the last line of a defense in resolving data queries and delivering timely and quality data to our internal clients. What’s in it for you: An opportunity to engage directly with external stakeholders daily. Be part of a highly collaborative team that serves numerous internal domains and exposes you to all MI Content data teams. Develop and hone your communication skills with daily exposure to colleagues and stakeholders across the globe. Work with new talent to develop/enhance their skillset; Work on process improvement and initiatives including LEAN/automation projects. Responsibilities: You will procure comprehensive information on the data tracked by the respective department. Assist in resolving client questions as it relates to verifying information via company contacts and assist in audits on department datasets in order to reduce errors. Will work within parameters and with limited supervision to ensure quality and performance to set standards. Keeps up to date in knowledge of content sets. Builds industry knowledge by understanding industry trends and reporting standards. Provides input and ideas for new collection methods and product enhancements related to the covered content sets. Help leadership in managing queue and review team production. Troubleshoots problems or issues and provide support to the team. Builds and maintains relationships with external contacts as a means to actively track information on the covered content sets. What We’re Looking For: B.Com. / BBA / M. Com. / MBA Advance Proficiency in English communication is MUST. Candidate working in BPO sector for US process would be preferred. Certification or knowledge/experience in MS-office (Excel, Word, PowerPoint). Willing to work in rotational shifts including night shift. About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit www.spglobal.com/marketintelligence. What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. - Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf - 20 - Professional (EEO-2 Job Categories-United States of America), DTMGOP203 - Entry Professional (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 296891 Posted On: 2025-06-24 Location: Hyderabad, Telangana, India

Job Title: Data Enrichment & Entry Specialist Location: Noida Role Overview As a Data Enrichment & Entry Specialist, you will be responsible for gathering, refining, and optimizing data from multiple sources. You will play s key role in ensuring data accuracy, enhancing usability, and supporting business intelligence initiatives. This position requires enthusiasm, adaptability, and a proactive mindset to handle new tasks efficiently. Key Responsibilities Collect, enter, and validate data from various portals and sources. Perform data enrichment by identifying inconsistencies and improving dataset quality. Organize and maintain structured databases for easy accessibility. Collaborate with teams to support ongoing data-driven projects. Handle new tasks as assigned, demonstrating flexibility and problem-solving skills. Qualifications & Skills Bachelor's degree in a relevant field or equivalent experience. Proficiency in data entry tools, spreadsheets, and database management systems. Ability to adapt to new technologies and learn quickly. Strong attention to detail and analytical thinking. Enthusiastic, self-motivated, and eager to take on new challenges Job Types: Full-time, Permanent Pay: ₹10,000.00 - ₹15,000.00 per month Schedule: Day shift Morning shift Education: Bachelor's (Required) Experience: Data entry: 1 year (Required) Language: English (Required) Location: Gautam Budh Nagar, Uttar Pradesh (Required) Work Location: In person

Greetings from TCS!!!!!! We have an opportunity for Python Data Engineer Mode of Interview : Weekend Face to Face Experience: 4+ Years(Relevant should be 4+) Work Mode: Work from office Location: Mumbai Skills & Competencies - Strong Python programming skills with expertise in Pandas, Lxml, ElementTree, File I/O operations, Smtplib, and Logging libraries. - Strong hands-on experience in building the framework component using the python, sql & shell scripting - Strong technical knowledge in SQL and experience in writing the sql/python stored procedures, functions. - Basic understanding of XML structures and ability to extract key parent & child xml tag elements from XML data structure - Hands-on Experience in migrating on prem to Cloud DB projects - Building automated ETL data pipelines and Handled large dataset, key Data transformations using the Pandas - Hands-on exp in PySpark, Snowflake Snowpark, Python/Snowflake connector is an added advantage - Hands-on exp in Microsoft Sqlserver DB & SSIS ETL, C#, VB.net is added advantage - Good to have following real time project experience - Docker: In-depth knowledge of Docker, Docker files, container images, Docker Compose & finally optimizing container performance and security. - Kubernetes: Strong understanding of Kubernetes concepts, including pods, deployments, scaling, managing containerized applications & services, namespaces, clusters. - Familiarity in Azure cloud platforms.

Private Markets Research & Outreach Analyst Hyderabad, India Data Management 296891 Job Description About The Role: Grade Level (for internal use): 07 The Team/Profile : The Primary Research team predominantly supports the outreach needs of the content organization to access unique and exclusive data directly from the source. We secure information that cannot be found anywhere else in the public domain through the establishment of relationships with third parties to be able to provide the most comprehensive data possible to S&P Global Market Intelligence clients. As a newly formed multicultural team spread across 6 locations, currently in a state of transformation and looking to evolve and expand our operations, it is an exciting time for the team, and we look forward to welcoming new talented Primary Researchers to our family. The Impact: The Data Analyst will primarily work alongside the Market Intelligence dataset teams on a workflow involving contacting firms to gather missing information. The tasks would require calling and email outreach to companies daily through internal tools. As a member of the Primary Research team, you will be the last line of a defense in resolving data queries and delivering timely and quality data to our internal clients. What’s in it for you: An opportunity to engage directly with external stakeholders daily. Be part of a highly collaborative team that serves numerous internal domains and exposes you to all MI Content data teams. Develop and hone your communication skills with daily exposure to colleagues and stakeholders across the globe. Work with new talent to develop/enhance their skillset; Work on process improvement and initiatives including LEAN/automation projects. Responsibilities: You will procure comprehensive information on the data tracked by the respective department. Assist in resolving client questions as it relates to verifying information via company contacts and assist in audits on department datasets in order to reduce errors. Will work within parameters and with limited supervision to ensure quality and performance to set standards. Keeps up to date in knowledge of content sets. Builds industry knowledge by understanding industry trends and reporting standards. Provides input and ideas for new collection methods and product enhancements related to the covered content sets. Help leadership in managing queue and review team production. Troubleshoots problems or issues and provide support to the team. Builds and maintains relationships with external contacts as a means to actively track information on the covered content sets. What We’re Looking For: B.Com. / BBA / M. Com. / MBA Advance Proficiency in English communication is MUST. Candidate working in BPO sector for US process would be preferred. Certification or knowledge/experience in MS-office (Excel, Word, PowerPoint). Willing to work in rotational shifts including night shift. About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit www.spglobal.com/marketintelligence. What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. - Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf - 20 - Professional (EEO-2 Job Categories-United States of America), DTMGOP203 - Entry Professional (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 296891 Posted On: 2025-06-24 Location: Hyderabad, Telangana, India

Associate, Operations Bangalore, India Operations Group 316422 Job Description About The Role: Grade Level (for internal use): 07 Department overview S&P Global, EBS is specialist provider of managed and installed data services, delivering world-class data, technology and service solutions focusing on the complex and evolving Index and ETF data needs. Used in the front, middle and back office by the world’s leading Investment Banks, Asset Managers, Fund Administrators, Prime Brokers and Hedge Funds. Position summary The successful candidate will play a key part in maintaining the smooth running of the day-to-day operations of EBS data offering and working with cross functional teams to identify solutions in problem areas to remove operational inefficiencies. On the data enhancement aspect, the candidate will use advanced Excel, VBA and SQL skills translating operational requirements into technical solutions and tools. The team operates 24/7, thus interested candidates will be required to work in all shifts including US hours. Duties & accountabilities New hire needs to be well versed with index concepts and their calculations. Validate the accuracy of data received from various sources. Ensure that this information is stored in databases and is accurately reflected on products by creating or running data quality checks and standards. Ensure the quality and time-efficient production of financial information to respective products. Respond to data queries from both internal and external clients and provide support to stakeholders. Monitor and research market events in order to anticipate changes. Ensure a deep understanding of the markets and business events. Work with and involve cross functional teams to provide Root Cause Analysis to identify solutions in problem areas. Consolidate information around the dataset leading to the establishment of best practices. Perform automated/semi-automated checks to ensure production of high quality content. Ensure MOW’s are documented and maintained. Coordinate and Delegate work as per team requirements Identify data quality improvement projects, and good design practices Intermediate Excel and SQL skills, including being able to write basic SQL queries. Proven ability to utilize data and systems tools available Good verbal, written, and presentation skills. Education and experience MBA (Finance) / Post Graduate or equivalent in ideally Finance. The candidate should have a good understanding of equities & capital markets. Specific knowledge around Index/ETF and Corporate Actions highly preferred. 0-2 years of business operations experience and must be flexible in addressing dynamic business needs. Commercial awareness : Must have a strong interest in finance and be up to date with current global financial market news. Management requirements : NA Personal competencies Personal impact : The candidate must be a self-starter, able to take on multiple tasks at a time, hardworking, and efficient. Communication : Must demonstrate superior communication skills and is expected to interact professionally across business units within the company. Teamwork : Being a team player is a vital aspect of the position, and it is expected that the candidate will work well individually, as well as in a global team environment About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit www.spglobal.com/marketintelligence. What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. - Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf - OPRTON203 - Entry Professional (EEO Job Group) Job ID: 316422 Posted On: 2025-06-24 Location: Bangalore, Karnataka, India