526 Data Manipulation Jobs - Page 2

About The Role Skill required: Business Reporting & Governance - Reporting Analytics Designation: Measurement & Report Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do You will be aligned with our Customer Support vertical and help us in managing/ resolving customers query, handling escalations and complaints of the dissatisfied customers & giving best resolutions. You will also be responsible for closing the fault and complaints within SLA s.Ensure standard and ad hoc reports are delivered accurately and on time. Work with other functional teams to access / understand data to be analyzed. Coordinate across multiple operations / teams to add reporting insight. Analyze, design, code and test multiple components of application code. Prepare management reports and analysis, both recurring and ad-hoc. It focuses on tracking business performance through trusted data and insights while actively managing employee behaviors. What are we looking for Collecting, analyzing, and interpreting data from various sources and identifying key performance indicators (KPIs) & metrics. Creating regular and ad-hoc reports, dashboards, and presentations. Developing and maintaining reporting systems and databases and ensuring data accuracy, completeness, and consistency. Build custom data input tools and auto alerts & notifications Identifying and resolving data discrepancies. Validating data prior to use in reports. Collaborating with other teams to understand reporting needs. Communicating complex data in a clear and concise manner. Providing insights and recommendations to stakeholders. Visual Basics Data Analysis Power QueryMinimum 5 year of experience in data management, report and visualization. Proficiency in SQL and advanced Excel functions for data manipulation and reporting. Experience with data visualization tools such as Tableau, Power BI, or similar. Proficiency in Power APPS and Power Automate Keen attention to detail Working experience on project management Working experience on risk and issue management Strong Problem Solving and Decision-Making skills Good stakeholder management, with the ability to properly manage stakeholder expectations and escalations Can work well as part of a team; ability to work well across different levels Able to work independently and with minimal supervision Good communication skills; can communicate across different levels within the organization Ability to identify and resolve data quality issues and other technical problems. Roles and Responsibilities: In this role you are required to do analysis and solving of moderately complex problems May create new solutions, leveraging and, where needed, adapting existing methods and procedures The person would require understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor May interact with peers and/or management levels at a client and/or within Accenture Guidance would be provided when determining methods and procedures on new assignments Decisions made by you will often impact the team in which they reside Individual would manage small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Please note that this role may require you to work in rotational shifts Qualification Any Graduation

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Data Analysis & Interpretation Good to have skills : NAMinimum 2 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to effectively migrate and deploy data across various systems, contributing to the overall efficiency and reliability of data management within the organization. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with cross-functional teams to understand data requirements and deliver effective solutions.- Monitor and optimize data pipelines for performance and reliability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Analysis & Interpretation.- Strong understanding of data modeling and database design principles.- Experience with ETL tools and data integration techniques.- Familiarity with data visualization tools to present findings effectively.- Knowledge of programming languages such as Python or SQL for data manipulation. Additional Information:- The candidate should have minimum 2 years of experience in Data Analysis & Interpretation.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

As the world's leading company delivering sustainable design, engineering, and consultancy solutions for natural and built assets, Arcadis is dedicated to improving the quality of life with the power of many curious minds. With over 36,000 employees in more than 70 countries, everyone plays an important role in solving the world's most complex challenges and delivering impactful solutions together. Qualifications and Experience: - Bachelor's or Master's degree in Math, Statistics, Computer Science, Engineering, or a related technical field. - Minimum of 5 years of experience in Data engineering with Python\R. - Proficiency in SQL, MS-SQL Server, or other relational databases. - Experience with Azure Cloud Service, AWS, or Google Cloud Service (Optional). - Knowledge of API automated Data extraction pipeline. - Experience in developing and maintaining integrated visualization reports in PowerBI (Optional). - Familiarity with software deployment project lifecycle phases - requirements gathering, planning, testing, delivery, enhancements, and support. - Project Management experience is preferred. - Excellent communication skills and fluency in English at a professional level. Key Skills / Attributes: - Strong analytical and problem-solving skills with a keen attention to detail. - Self-motivated and team-oriented, capable of working independently or within a team. - Ability to address new challenges, take ownership of tasks, and drive to succeed and grow in Project/Program Management. Principal Duties & Key Responsibilities: - Independently or collaboratively solve data problems with unstructured data. - Collaborate with team members and other disciplines to meet project requirements. - Complete allocated activities independently to meet timeframe and quality objectives. - Develop effective materials for clients to convey messages clearly. - Contribute to Arcadis Global Communities of Practice relevant to Project Management, Data Visualization, and Power Platform. - Contribute to the Digital Advisory community of practice by developing integrated solutions embedding GEC capabilities into core advisory business. Data Engineering, Management, and Visualization: - Manipulate, transform, and analyze raw, large, and complex data sets. - Plan, gather, analyze, and document user and business information. - Integrate technical knowledge with business/systems requirements. - Produce written deliverables including requirement specifications, process mapping, technical design, and more. - Collect and organize data for analytical reporting, data warehouse reports, spreadsheets, and databases. - Strong database concepts, data modeling, stored procedures, query writing, and performance optimization of SQL queries. - Create automated data extraction pipeline from various sources like API and databases in various formats. - Problem-solving and solution-driven mindset with the ability to innovate within project constraints. Join Arcadis, where everyone's contribution matters, and a skills-based approach empowers individuals to maximize their impact and carve their career path. Be part of delivering sustainable solutions for a more prosperous planet and create a lasting legacy together. Join Arcadis. Create a Legacy.,

You should have 4 to 8 years of relevant experience in Reinsurance Pricing and Capital Modelling. Your responsibilities will include: - Demonstrable expertise in Reinsurance treaty pricing. - Conducting end-to-end pricing across various (Re)insurance structures such as QS, per Risk XoL, Agg XoL, Stop Loss, Indexed Layers, etc. - Utilizing exposure rating and experience rating methodologies. - Handling large datasets for modeling, including preparing and manipulating data. - Modeling premium and pricing features like reinstatements, AADs, swing-rated deals. - Deriving and reconciling Loss Development Factors (LDFs) and development patterns. - Providing support and input to enhance the efficiency of individual risk assessment, such as automated data manipulation. In terms of Capital Modelling, you should have: - Understanding of Solvency II regulation and Capital Requirements. - Experience in Standard Formula calculations and reporting. - Proficiency in internal capital modelling, calibration, validation, and reporting. If you are interested in this position or have any references, please feel free to reach out to riya@beanhr.com.,

At PwC, the focus in data and analytics is on leveraging data to drive insights and make informed business decisions. Advanced analytics techniques are utilized to help clients optimize operations and achieve strategic goals. As a Data Analyst at PwC, the emphasis is on utilizing advanced analytical techniques to extract insights from large datasets and facilitate data-driven decision-making. Skills in data manipulation, visualization, and statistical modeling are leveraged to assist clients in solving complex business problems. Candidates with 4+ years of hands-on experience are preferred for the role of GenAI Data Scientist at PwC US - Acceleration Center. The Senior Associate level position requires a highly skilled individual with a strong background in data science, particularly focusing on GenAI technologies. The ideal candidate should possess a solid understanding of statistical analysis, machine learning, data visualization, and application programming. Responsibilities include collaborating with product, engineering, and domain experts to identify high-impact GenAI opportunities, designing and building GenAI and Agentic AI solutions end-to-end, processing structured and unstructured data for LLM workflows, validating and evaluating models, containerizing and deploying production workloads, communicating findings and insights, and staying current with GenAI advancements. Requirements for this position include a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field, 1-2 years of hands-on experience delivering GenAI solutions, proficiency in Python with additional experience in R or Scala, experience with vector stores and search technologies, expertise in data preprocessing, feature engineering, and statistical experimentation, competence with cloud services across Azure, AWS, or Google Cloud, proficiency in data visualization, and strong problem-solving skills. Nice to have skills include relevant certifications in GenAI tools and technologies, hands-on experience with leading agent orchestration platforms, proven experience in chatbot design and development, practical knowledge of ML/DL frameworks, and proficiency in object-oriented programming with languages such as Java, C++, or C#. Candidates with a background in BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA or any related degree are encouraged to apply for this challenging role at PwC US - Acceleration Center.,

As a Climate and Environment Analyst at Forvis Mazars Group, you will be an integral part of the Corporate Sustainability team, dedicated to supporting the organization's transition to net zero emissions by 2045. Your role will involve collaborating with internal and external stakeholders to drive forward the climate agenda, utilizing a combination of strategic project management, analytical expertise, and stakeholder engagement skills. Your responsibilities will include managing the quarterly carbon footprint reporting process, analyzing GHG emissions, monitoring progress towards targets, and assisting countries in enhancing their GHG inventory quality and implementing decarbonization strategies. You will play a crucial role in ensuring data accuracy and consistency, conducting data analysis to track emissions reduction targets, and presenting results to country teams and Group leadership. In addition to data analysis, you will be involved in research activities to stay updated on methodologies impacting decarbonization efforts, conduct peer benchmarks on climate-related disclosures, and contribute to the enhancement of emissions calculations methodologies. You will also participate in the implementation of climate-related policies, support supplier engagement initiatives, manage travel emissions, and contribute to climate risk scenario analysis. Your role will also involve project management tasks such as overseeing reporting exercises, tracking data reporting progress, managing communication with stakeholders, and updating guidance materials. The ideal candidate for this position is someone with experience in emissions data analysis, familiarity with GHG accounting methodologies, and a proactive approach to learning and adapting to changing environments. Strong analytical skills, proficiency in data analysis tools, effective communication, teamwork, and organizational skills are essential for success in this role. If you possess exceptional drive and passion for addressing climate change, along with the required qualifications and skills, and are fluent in English (knowledge of other languages is a plus), we encourage you to apply for this exciting opportunity to contribute to Forvis Mazars Group's sustainability goals.,

Job Role: Data Scientist / AI Solution Engineer India contractor Band Level: NA Reports to: Team Leader/Manager Preferred Location : Gurugram, Haryana, India Work Timings: 11:30 am 08 pm IST - Implement Proof of Concept and Pilot machine learning solutions using AWS ML toolkit and SaaS platforms - Configure and optimize pre-built ML models for specific business requirements - Set up automated data pipelines leveraging AWS services and third-party tools - Create dashboards and visualizations to communicate insights to stakeholders - Document technical processes and knowledge transfer for future maintenance Requirements - Bachelor s degree in computer science, Data Science, or related field - 1-3 years of professional experience implementing machine learning solutions. -We can entertain someone who is fresh graduate with significant work in AI in either internship or projects - Demonstrated experience with AWS machine learning services (SageMaker, AWS ML Services, and understanding of underpinnings of ML models and evaluations.) - Proficiency with data science SaaS tools (Dataiku, Indico, H2O.ai, or similar platforms) - Working knowledge of AWS data engineering services (S3, Glue, Athena, Lambda) - Experience with Python and common data manipulation libraries - Strong problem-solving skills and ability to work independently Preferred Qualifications - Previous contract or work experience in similar roles - Familiarity with API integration between various platforms - Experience with BI tools (Power BI, QuickSight) - Knowledge of cost optimization techniques for AWS ML services - Prior experience in our industry (please see company overview)

As a Data Science Trainer, you will play a crucial role in delivering high-quality instruction in data science, machine learning, and AI. Your responsibilities will include designing curriculum, conducting training sessions, and mentoring learners of different skill levels. You should possess strong theoretical knowledge coupled with hands-on experience in real-world data projects. Your key responsibilities will involve delivering engaging training sessions on various topics such as Python for Data Science, Statistics & Probability, Machine Learning & Deep Learning, Data Visualization, Data Manipulation, and Tools & Platforms. You will also be responsible for designing and updating training materials, providing one-on-one mentoring to learners, evaluating progress, and keeping the curriculum up-to-date with industry trends. To excel in this role, you are required to hold a Bachelors/Masters degree in Data Science, Computer Science, Statistics, or a related field with at least 5 years of experience in data science or related domains. Prior experience in teaching or mentoring will be advantageous. Proficiency in Python, machine learning algorithms, data processing libraries, along with excellent communication and presentation skills are essential. Your ability to explain complex concepts clearly and engagingly will be key to your success. In addition to your core responsibilities, you will participate in webinars, workshops, and community building activities, conduct code reviews, and support learners with debugging. Your dedication to continuous learning and staying updated with the latest industry technologies will be highly valued. This full-time role will require you to work in a morning shift at the designated in-person work location. If you are passionate about data science education and possess the necessary skills and experience, we look forward to receiving your application.,

At PwC, our team focused on data and analytics applies data to drive insights and guide strategic business decisions. Utilizing advanced analytics techniques, we assist clients in optimizing operations and achieving their goals. As a member of our data analysis team, you will specialize in leveraging sophisticated analytical methods to extract valuable insights from extensive datasets, enabling data-driven decision-making. Your role will involve utilizing skills in data manipulation, visualization, and statistical modeling to support clients in resolving intricate business challenges. We are seeking a visionary Generative AI Architect at the Manager level to join PwC US - Acceleration Center. In this leadership position, you will be responsible for designing and implementing cutting-edge Generative AI solutions using technologies such as Azure OpenAI Service, GPT models, and multi-agent frameworks. Your role will involve driving innovation through scalable cloud architectures, optimizing AI infrastructure, and leading cross-functional teams in deploying transformative AI solutions. The ideal candidate will possess deep expertise in Generative AI technologies, data engineering, Agentic AI, and cloud platforms like Microsoft Azure, with a strong emphasis on operational excellence and ethical AI practices. Responsibilities: - **Architecture Design:** Design and implement scalable, secure, and high-performance architectures for Generative AI applications. Integrate Generative AI models into existing platforms and lead the development of AI agents capable of orchestrating multi-step tasks. - **Model Development And Deployment:** Fine-tune pre-trained generative models, develop data collection and preparation strategies, and deploy appropriate Generative AI frameworks. - **Innovation And Strategy:** Stay updated on the latest Generative AI advancements, recommend innovative applications, and define and execute AI strategy roadmaps. - **Collaboration And Leadership:** Collaborate with cross-functional teams, mentor team members, and lead a team of data scientists, GenAI engineers, devops, and software developers. - **Performance Optimization:** Monitor and optimize the performance of AI models, agents, and systems to ensure robustness and accuracy, as well as optimize computational costs and infrastructure utilization. - **Ethical And Responsible AI:** Ensure compliance with ethical AI practices, data privacy regulations, and governance frameworks, and implement safeguards against bias and misuse. Requirements: - Bachelors or masters degree in computer science, Data Science, or related field. - 8+ years of relevant technical/technology experience, with expertise in GenAI projects. - Advanced programming skills in Python and fluency in data processing frameworks like Apache Spark. - Experience with GenAI foundational models and open-source models. - Proficiency in system design for Agentic architecture and real-time data processing systems. - Familiarity with cloud computing platforms and containerization technologies. - Strong leadership, problem-solving, and analytical abilities. - Excellent communication and collaboration skills. Nice To Have Skills: - Experience with technologies like Datadog and Splunk. - Familiarity with emerging Model Context Protocols and dynamic tool integration. - Relevant solution architecture certificates and continuous professional development in data engineering and GenAI. Professional And Educational Background: BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA/ Any Degree.,

As a Senior R Developer at MResult, you will play a crucial role in supporting the development, validation, and deployment of models and tools used in drug development and clinical research. Your responsibilities will include developing and maintaining R scripts, packages, and Shiny applications for data analysis and visualization. You will be involved in performing statistical analysis and data manipulation related to clinical trials and PK/PD data. Collaboration with pharmacometricians and clinical scientists will be key as you work together to develop PK models and support modeling workflows. Automating data cleaning, processing, and reporting tasks will be part of your daily activities. You will also integrate PK/PD datasets with clinical trial data and prepare analysis-ready datasets. Ensuring code validation and documentation as per regulatory compliance standards such as FDA and EMA will be essential. In addition to technical responsibilities, you will generate reports and graphical outputs using tools like R Markdown and participate in cross-functional project teams, providing input on statistical and modeling strategies. To succeed in this role, you should have a Bachelor's or Masters degree in Statistics, Data Science, Bioinformatics, Pharmacology, or a related field and a minimum of 5 years of experience in R programming. Experience with R package development, version control using Git/GitHub, and hands-on experience in Pharmacokinetics (PK) is required, preferably in a clinical or pharmaceutical setting. A strong understanding of PK/PD concepts, NONMEM outputs, and model diagnostics will be beneficial. Excellent problem-solving skills, the ability to communicate complex results to non-technical stakeholders, attention to detail, and a commitment to code quality and reproducibility are essential qualities for success in this role. At MResult, you will have the opportunity to work with some of the world's most recognized brands, access growth opportunities, and contribute to cutting-edge solutions while enjoying the flexibility of hybrid work models. As an equal-opportunity employer, MResult is committed to fostering an inclusive environment free of discrimination and harassment. Join us at MResult, where your ideas help shape the future.,

We are looking for a Lead Business Analyst for Reporting and Analytics role in Ameriprise Bank (BCS Analytics). As a Lead Business Analyst, you will play a crucial role in developing Power BI dashboards, creating complex SQL queries to extract metrics from various data sources, and providing actionable insights for strategic decision-making. You will serve as the primary liaison between the Technology Organization, Businesses, and internal teams while also maintaining and enhancing the existing reporting structure by introducing automation where feasible. Your responsibilities will include designing, developing, and implementing sophisticated Power BI solutions that encompass ETL processes, data models, interactive dashboards, visualizations, and reports that effectively convey key performance indicators and insights. Additionally, you will be involved in creating Excel reports and implementing automation strategies, utilizing advanced data aggregation techniques to summarize data from multiple sources, and ensuring adherence to best practices related to Power BI service. To excel in this role, you should have a Bachelor's degree in computer science, Data Analytics, or a related field along with 5-8 years of experience in data management and reporting. You must possess a strong background in analytics, problem-solving skills, and a minimum of 5 years of hands-on experience in Power BI, Advance DAX functions, and Dashboard designing. Proficiency in SQL/PostgreSQL/AWS Datalake for data manipulation, ad-hoc Queries, and Star Schema design is essential. Moreover, you will be expected to conduct in-depth data analysis to identify trends, patterns, and opportunities for process improvement or business growth. Collaborating with cross-functional teams, optimizing data models and queries for performance and efficiency, and documenting business and technical processes are also part of your responsibilities. Ideal candidates will be self-motivated, capable of working independently and in a team environment, possess a high sense of urgency, and adapt well to changing environments. Strong oral and written communication skills are crucial for effective collaboration with stakeholders. Experience in Python or any other programming language, knowledge of SAS and VBA, and familiarity with AWS stack are considered advantageous. Ameriprise India LLP offers a collaborative and inclusive work environment where your contributions are valued. If you are driven, talented, and seeking to work for an ethical company that prioritizes employee well-being, consider joining our team and making a difference in your career and community. This is a full-time position with working hours from 2:00 PM to 10:30 PM in the AWMP&S President's Office within the Business Support & Operations job family group.,

Hire Top Talents from Largest Talent Network | TESTQ. TQUKE0655_4500 - Data Engineer 6-12 years of professional work experience in a relevant field Proficient in Azure Databricks, ADF, Delta Lake, SQL Data Warehouse, Unity Catalog, Mongo DB, Python Experience/ prior knowledge on semi structure data and Structured Streaming, Azure synapse analytics, data lake, data warehouse. Proficient in creating Azure Data Factory pipelines for ETL/ELT processing ; copy activity, custom Azure development etc. Lead the technical team of 4-6 resource. Prior Knowledge in Azure DevOps and CI/CD processes including Github . Good knowledge of SQL and Python for data manipulation, transformation, and analysis knowledge on Power bi would be beneficial. Understand business requirements to set functional specifications for reporting applications Additional Information: Skill set: Azure Databricks , Mongo DB, Python, ADF, SQL, ETL (Data engineering) Good to have skills : Certification in Azure We can only accept MS Word and PDF format under 10 MB

Hire Top Talents from Largest Talent Network | TESTQ. TQUKE0658_4503 - Cloud Engineer Roles & Responsibilities, Mandatory: JD 8-12 years of professional work experience in a relevant field Proficient in Azure cloud services, Azure Webapps, Terraform, Azure DevOps , Azure Entra ID integration with applications, Key Vault, Storage, Networking, Private Endpoints, Kubernetes, API Mgmt., Experience in Bash scripting, Docker, Python, FastAPI. Lead the technical team of 4-6 resource. Good knowledge of SQL and Python for data manipulation, transformation, and analysis knowledge on Power bi would be beneficial. Understand business requirements to set functional specifications for reporting applications Additional Information: Skill set: Azure Cloud services, Terraform, Azure DevOps, Azure Entra ID integration with applications, Key Vault, Storage, Networking, Private Endpoints, Kubernetes, API Mgmt., Bash scripting, Docker, Python, FastAPI. Good to have skills : Certification in Azure Devops Engineer. Apply NOW We can only accept MS Word and PDF format under 10 MB

Role: Data Analyst / Senior Data Analyst Experience: 7+ years Location: Bangalore/ Pune Responsibilities: Define and obtain source data required to successfully deliver insights and use cases. Determine the data mapping required to join multiple data sets together across multiple sources Create methods to highlight and report data inconsistencies, allowing users to review and provide feedback on Propose suitable data migration sets to the relevant stakeholders Assist teams with processing the data migration sets as required Assist with the planning, tracking and coordination of the data migration team and with the migration run-book and the scope for each customer Role Requirements: Strong Data Analyst with Financial Services experience. Knowledge of and experience using data models and data dictionaries in a Banking and Financial Markets context Knowledge of one or more of the following domains (including market data vendors): Party/Client Trade Settlements Payments Instrument and pricing Market and/or Credit Risk Demonstrate a continual desire to implement strategic” or “optimal” solutions and where possible, avoid workarounds or short term tactical solutions. Working with stakeholders to ensure that negative customer and business impacts are avoided Manage stakeholder expectations and ensure that robust communication and escalation mechanisms are in place across the project portfolio Good understanding of the control requirement surrounding data handling Experience/Skillset Must Have: Excellent analytical skills and commercial acumen. Proficient in Python, Pyspark and SQL. Good understanding of the control requirements surrounding data handling Experience of big data programmes preferable Strong verbal and written communication skills Strong self-starter with strong change delivery skills who enjoys the challenge of delivering change within tight deadlines Ability to manage multiple priorities Business analysis skills, defining and understanding requirements Knowledge of and experience using data models and data dictionaries in a Banking and Financial Markets context Can write SQL queries and navigate data bases especially Hive, CMD, Putty, Note++ Enthusiastic and energetic problem solver to join an ambitious team Good knowledge of SDLC and formal Agile processes, a bias towards TDD and a willingness to test products as part of the delivery cycle Ability to communicate effectively in a multi-programme environment across a range of stakeholders Attention to detail Good to have: Preferable knowledge and experience in Data Quality & Governance For Spark Scala - should have working experience using scala (preferable) or java for spark For Senior DAs: proven track record of managing small delivery-focussed data teams

As an SEO Specialist based in Pune, you will be responsible for conducting keyword research by analyzing trends, target audiences, patterns, and competitor strategies. Your role will involve creating optimized page titles, meta descriptions, and content to enhance search engine visibility and drive organic traffic. You will be expected to analyze client performance data to identify SEO opportunities and provide recommendations to support their marketing goals. By extracting insights from data and staying updated on industry trends, you will proactively suggest strategies to improve client accounts and create engaging presentations. Collaboration is key in this role, as you will work closely with internal and client teams, as well as external tools, to ensure brand consistency and alignment with business objectives. Regular communication with clients through written and verbal updates will be essential to keep them informed about project progress. Your daily tasks will include manipulating data using Excel and other tools, monitoring SEO and web traffic metrics, and implementing social media strategies to engage audiences and boost brand awareness. Staying informed about the latest technologies and social media trends will be crucial to your success in this dynamic role. To excel in this position, you should have 2 to 4 years of experience in SEO and a proven track record of executing activities within deadlines while maintaining high quality standards. By actively participating in industry news monitoring and sharing, you will contribute valuable insights to the team and help drive continuous improvement in our strategies. If you are passionate about SEO, data analysis, and social media marketing, and thrive in a fast-paced environment where innovation is encouraged, we invite you to join our team in Pune. This role offers the opportunity to work collaboratively with cross-functional teams, develop new features to enhance brand awareness, and contribute to the success of our clients through strategic SEO initiatives.,

As an AI/ML professional with 4-8 years of experience, your role will involve developing and implementing AI models and pipelines utilizing LLMs to meet business requirements. You will be responsible for designing and deploying machine learning solutions on Azure, ensuring high performance, scalability, and reliability. Using Python for data preprocessing, model development, and experimentation will be a key part of your responsibilities. Moreover, you will play a crucial role in building and integrating REST APIs using Flask to facilitate seamless model access for various applications. Your expertise in containerizing models and applications with Docker will be vital in streamlining deployment processes and enhancing portability. Collaboration with cross-functional teams to comprehend project objectives and develop customized AI solutions will also be a significant aspect of your job. To excel in this role, you should stay abreast of the latest advancements in LLMs and cloud technologies. Optimizing models for accuracy, performance, and inference speed based on real-time data will be essential to drive continuous improvement and innovation. Qualifications for this position include 4-8 years of experience in data science, specifically working with LLMs models in domains such as CPG, Retail, and Supply Chain. Hands-on experience in deploying AI/ML models on Azure and utilizing cloud-based tools is essential. Proficiency in Python for data manipulation, model building, and evaluation is required. Additionally, experience with Dockerization for deploying and managing AI applications, knowledge of Flask for building lightweight APIs, and strong problem-solving skills to translate business challenges into AI solutions are necessary. Good communication skills are vital for effective collaboration with stakeholders and presenting technical results convincingly. A working knowledge of the finance domain is a must for this role.,

As a Tax Associate at Ryan, you will be part of a global award-winning culture that offers a flexible work environment, generous paid time off, world-class benefits and compensation, rapid growth opportunities, and company-sponsored two-way transportation. You will have the chance for exponential career growth while working in a supportive and inclusive atmosphere. To excel in this role, you should have a basic understanding of tax and accounting concepts, along with excellent analytical and problem-solving abilities. Attention to detail, the ability to meet strict deadlines, and strong communication skills are essential. Knowledge of Microsoft Word, Access, Excel, Outlook, Internet navigation, and research is preferred. Previous experience in sales and use tax filing and return preparation is a plus. In this role, your responsibilities will include: - Providing guidance and instructions to junior staff and new hires - Conducting training sessions for new hires and ensuring their preparedness for assessments - Assisting with return preparation and ensuring quality standards are met - Reviewing and processing online tax filings and Electronic Data Interchange - Coordinating debrief calls and providing data for dashboard updates - Assisting with notices and voice mails handling and ensuring timely responses You will be responsible for delivering tasks within the specified turnaround time while maintaining high-quality standards. Communication with internal and external stakeholders should be clear and detailed. Additionally, you will work on data manipulation, compliance preparations, and process improvements to enhance efficiency. The ideal candidate will have a master's or bachelor's degree in Finance, Accounting, or Business, along with 2-4 years of experience in US Taxation. Strong computer skills, including proficiency in Microsoft Office applications, are required. Advanced skills in Microsoft Excel and Adobe applications are preferred. Your work environment will involve regular interaction with teams in India and the US, via email and telephone. The current work hours are 7.00 AM to 4.00 PM, IST, or 2.00 PM to 11.00 PM, IST, with the possibility of shift changes based on business needs. Overtime may be required during compliance filing periods. Ryan is an equal opportunity employer, committed to providing a workplace that values diversity and inclusion. Join us and be part of a dynamic team that values your contributions and supports your professional growth.,

You will be responsible for providing statistical programming support to clinical trials at Statistics & Data Corporation (SDC), a specialized contract research organization headquartered in Arizona. Since 2005, SDC has been delivering top-tier clinical trial services to pharmaceutical, biologic, and medical device/diagnostic companies. As part of a technology-enabled service offering, you will contribute to both clinical services expertise and technological support required for successful clinical trials. Your primary responsibilities will include performing all statistical programming necessary for clinical trial analysis and reporting. You will apply appropriate statistical methods for data analysis, review Statistical Analysis Plans, and design/develop SAS macros and utilities to streamline programming activities. Additionally, you will generate tables, listings, and figures per protocol and client requests, participate in program validation and quality control activities, and develop SDTM and ADaM datasets. You will collaborate with various departments such as Clinical Operations, Project Management, and Data Management to ensure high client satisfaction through successful project execution. Your role will also involve mentoring junior statistical programmers, maintaining project files, adhering to quality systems, and complying with data integrity and business ethics requirements. To be successful in this role, you must possess strong analytical skills, proficiency in SAS programming (including SAS/Base, SAS/Stat, and SAS Macros), and a basic understanding of SAS/Graph. You should have a solid grasp of statistical programming, the ability to identify and resolve data issues, and excellent communication skills to convey technical concepts clearly to non-statistical colleagues. Familiarity with clinical trial design, regulatory guidelines, and CDISC SDTM and ADaM data models is essential. Ideally, you should hold a Bachelor's degree in computer science, statistics, or a related scientific field, along with four years of relevant professional experience. SDC offers a supportive work environment that values employee development, growth opportunities, career advancement, flexible work schedules, an engaging culture, and various benefits. Join SDC's dynamic team and contribute to the successful execution of client clinical programs while being part of a company that fosters innovation, growth, and a sense of belonging among its employees.,

Role Characteristics: Analytics team provides analytical support to multiple stakeholders (Product, Engineering, Business development, Ad operations) by developing scalable analytical solutions, identifying problems, coming up with KPIs and monitor those to measure impact/success of product improvements/changes and streamlining processes. This will be an exciting and challenging role that will enable you to work with large data sets, expose you to cutting edge analytical techniques, work with latest AWS analytics infrastructure (Redshift, s3, Athena, and gain experience in the usage of location data to drive businesses. Working in a dynamic start up environment will give you significant opportunities for growth within the organization. A successful applicant will be passionate about technology and developing a deep understanding of human behavior in the real world. They would also have excellent communication skills, be able to synthesize and present complex information and be a fast learner. You Will: Perform root cause analysis with minimum guidance to figure out reasons for sudden changes/abnormalities in metrics Understand objective/business context of various tasks and seek clarity by collaborating with different stakeholders (like Product, Engineering) Derive insights and putting them together to build a story to solve a given problem Suggest ways for process improvements in terms of script optimization, automating repetitive tasks Create and automate reports and dashboards through Python to track certain metrics basis given requirements Automate reports and dashboards through Python Technical Skills (Must have) B.Tech degree in Computer Science, Statistics, Mathematics, Economics or related fields 4-6 years of experience in working with data and conducting statistical and/or numerical analysis Ability to write SQL code Scripting/automation using python Hands on experience in data visualisation tool like Looker/Tableau/Quicksight Basic to advance level understanding of statistics Other Skills (Must have) Be willing and able to quickly learn about new businesses, database technologies and analysis techniques Strong oral and written communication Understanding of patterns/trends and draw insights from those Preferred Qualifications (Nice to have) Experience working with large datasets Experience with AWS analytics infrastructure (Redshift, S3, Athena, Boto3) Hands on experience on AWS services like lambda, step functions, Glue, EMR + exposure to pyspark What we offer At GroundTruth, we want our employees to be comfortable with their benefits so they can focus on doing the work they love. Parental leave- Maternity and Paternity Flexible Time Offs (Earned Leaves, Sick Leaves, Birthday leave, Bereavement leave & Company Holidays) In Office Daily Catered Lunch Fully stocked snacks/beverages Health cover for any hospitalization. Covers both nuclear family and parents Tele-med for free doctor consultation, discounts on health checkups and medicines Wellness/Gym Reimbursement Pet Expense Reimbursement Childcare Expenses and reimbursements Employee assistance program Employee referral program Education reimbursement program Skill development program Cell phone reimbursement (Mobile Subsidy program) Internet reimbursement Birthday treat reimbursement Employee Provident Fund Scheme offering different tax saving options such as VPF and employee and employer contribution up to 12% Basic Creche reimbursement Co-working space reimbursement NPS employer match Meal card for tax benefit Special benefits on salary account We are an equal opportunity employer and value diversity, inclusion and equity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

***SAP SAC Developer - Chennai, India - Hybrid***For our global client, RED is currently looking for an SAP SAC Developer within the operations domain.The consultant is expected to start ASAP and for an initial contract running for 12+ months with an extension afterwards. The project is hybrid working so therefore, 3 days onsite is required to Chennai, India. Must have skillsOverall 8+ years of experience in SAP SAC and at least 2-3 years experience working on SAP SAC \/ Datasphere solutions as a Consultant, Analyst, Developer or relevant role.Proven experience designing and implementing solutions utilizing SAC for planning, forecasting, and KPI reporting, as well as integrating with SAP Datasphere.Advanced abilities in SQL, Python, and JavaScript to enable data manipulation and automation within both SAC and Datasphere environments.Needs to be a self-starter who can identify the challenges and overcome them; andEnglish communication is mandatory.for immediate consideration.

Data Engineer, Quantitative Finance (Gurgaon, India) Amethyst Partners Data Engineer, Quantitative Finance (Gurgaon, India) A leading quantitative-driven financial firm is looking for a Data Engineer to join their growing team. This is a highly impactful role where you will be responsible for building scalable, efficient, and reliable data pipelines that power core trading and research operations. Key Responsibilities Data Pipeline Development Design, develop, and maintain robust Python-based data ingestion pipelines for market data and internal sources. Build and manage a unified RPC-based data access library, compatible across research and trading systems. Own the lifecycle of new and existing datasets acquisition, ingestion, validation, and integration. Data Quality & Monitoring Implement automated validation checks for data consistency, completeness, and accuracy. Collaborate with researchers to troubleshoot data anomalies and establish data quality benchmarks. Vendor & Data Source Management Evaluate and onboard new data vendors (e.g., sentiment, factor models, fundamentals). Monitor usage and relevance of existing subscriptions to optimize costs and eliminate inefficiencies. Maintain a pipeline of exploratory and potential new data sources. Collaboration & Documentation Partner with quant researchers and software teams to integrate data into models and tools. Write comprehensive documentation for datasets, processes, and libraries to enable efficient onboarding and collaboration. Strategic Impact Contribute to the long-term evolution of the firm s data stack. Stay up-to-date with trends in financial data, Python tooling, and infrastructure to bring best practices into the team. Assist in developing proprietary data signals and custom indicators (e.g., sentiment scores). Key Requirements Bachelor s or Master s degree in Computer Science, Engineering, Data Science, or a related technical discipline from a Tier-1 institution. 1 3 years of professional experience in data engineering, software development, or a Python-centric technical role. Strong coding skills in Python, with experience in writing reusable functions, modules, and lightweight APIs. Familiarity with libraries like pandas, numpy, and tools for time-series data manipulation. Understanding of version control (Git) and collaborative development practices. Exposure to financial market data (e.g., equities, futures, derivatives) or previous experience in fintech or trading environments. EA License Number: 20C0180 | Amethyst Partners | info@amethystasiapartners.com

Job Description: Reltio(MDM,Java and Python )Experience: 6 to 10 years of experience working with Reltio MDM in a professional setting. Technical Skills:. Strong Understanding of Master Data Management principals and concepts. Design, configure, and manage the Reltio Data Model, including match & merge rules, survivorship rules, Validation rules.. Manage Reference Data Management (RDM), User management, UI config, handling lifecycle actions and workflow.. Develop and optimize data loading/exporting process into/from Reltio. Work with Reltio Integration Hub to ensure seamless data integration Strong proficiency in SQL for data manipulation and querying. Knowledge of Java/Python or any programming scripting language for data processing and automation.. Familiarity with Data Modelling concepts Understanding of MDM workflow configurations and role-based data governance Soft Skills: Excellent analytical and problem-solving skills with a keen attention to detail. Strong ability to communicate effectively with both technical and non-technical stakeholders. Proven ability to work independently and collaborate in a fast-paced environment. Work Location : PAN IndiaShift Timing : UK Shift

JD here: MDM Reltio implementation 6 to 12 years of experience in MDM and Reltio environmentTechnical Skills:. Strong Understanding of Master Data Management principals and concepts. Design, configure, and manage the Reltio Data Model, including match & merge rules, survivorship rules, Validation rules.. Manage Reference Data Management (RDM), User management, UI config, handling lifecycle actions and workflow.. Develop and optimize data loading/exporting process into/from Reltio. Work with Reltio Integration Hub to ensure seamless data integration Strong proficiency in SQL for data manipulation and querying. Knowledge of Java/Python or any programming scripting language for data processing and automation.. Familiarity with Data Modelling concepts Understanding of MDM workflow configurations and role based data governance Soft Skills: Excellent analytical and problem solving skills with a keen attention to detail. Strong ability to communicate effectively with both technical and non technical stakeholders. Proven ability to work independently and collaborate in a fast paced environment. Shift Timing : UK ShiftWork Location : Pan India

: The Senior Data Engineer will be responsible for designing, developing, and maintaining scalable data pipelines and building out new API integrations to support continuing increases in data volume and complexity. They will collaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization. Responsibilities: Design, construct, install, test and maintain highly scalable data management systems & Data Pipeline. Ensure systems meet business requirements and industry practices. Build high-performance algorithms, prototypes, predictive models, and proof of concepts. Research opportunities for data acquisition and new uses for existing data. Develop data set processes for data modeling, mining and production. Integrate new data management technologies and software engineering tools into existing structures. Create custom software components and analytics applications. Install and update disaster recovery procedures. Collaborate with data architects, modelers, and IT team members on project goals. Provide senior level technical consulting to peer data engineers during data application design and development for highly complex and critical data projects. Qualifications: Bachelor's degree in computer science, Engineering, or related field, or equivalent work experience. Proven 5-8 years of experienceas a Senior Data Engineer or similar role. Experience with big data toolsHadoop, Spark, Kafka, Ansible, chef, Terraform, Airflow, and Protobuf RPC etc. Expert level SQL skills for data manipulation (DML) and validation (DB2). Experience with data pipeline and workflow management tools. Experience with object-oriented/object function scripting languagesPython, Java, Go langetc. Strong problem solving and analytical skills. Excellent verbal communication skills. Good interpersonal skills. Ability to provide technical leadership for the team.

Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients acrossbanking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. WHY JOIN CAPCO You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry. MAKE AN IMPACT Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services. #BEYOURSELFATWORK Capco has a tolerant, open culture that values diversity, inclusivity, and creativity. CAREER ADVANCEMENT With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands. DIVERSITY & INCLUSION We believe that diversity of people and perspective gives us a competitive advantage. MAKE AN IMPACT Job TitleBig Data Engineer : The Senior Data Engineer will be responsible for designing, developing, and maintaining scalable data pipelines and building out new API integrations to support continuing increases in data volume and complexity. They will collaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization. Responsibilities: Design, construct, install, test and maintain highly scalable data management systems & Data Pipeline. Ensure systems meet business requirements and industry practices. Build high-performance algorithms, prototypes, predictive models, and proof of concepts. Research opportunities for data acquisition and new uses for existing data. Develop data set processes for data modeling, mining and production. Integrate new data management technologies and software engineering tools into existing structures. Create custom software components and analytics applications. Install and update disaster recovery procedures. Collaborate with data architects, modelers, and IT team members on project goals. Provide senior level technical consulting to peer data engineers during data application design and development for highly complex and critical data projects. Qualifications: Bachelor's degree in Computer Science, Engineering, or related field, or equivalent work experience. Proven 5-8 years of experienceas a Senior Data Engineer or similar role. Experience with big data toolsPyspark, Hadoop, Spark, Kafka, Ansible, chef, Terraform, Airflow, and Protobuf RPC etc.. Expert level SQL skills for data manipulation (DML) and validation (DB2). Experience with data pipeline and workflow management tools. Experience with object-oriented/object function scripting languagesPython, Java, Go langetc. Strong problem solving and analytical skills. Excellent verbal communication skills. Good interpersonal skills. Ability to provide technical leadership for the team.