1122 Data Extraction Jobs - Page 7

You are a strategic thinker passionate about driving solutions in financial analysis . You have found the right team. As a Financial Analyst in our Finance team, you will spend each day defining, refining and delivering set goals for our firm. You will serve as a liaison between Firm-wide P&A, lines of business, Functional Finance teams, and other support teams. You will provide impactful reporting, planning, and insightful analyses, accurately align costs incurred while providing internal services to intended beneficiaries, and perform detailed quantitative analysis. You will also design analytical frameworks to forecast key account performance and profitability promoters, create and enhance multi-year financial models, and partner with leadership to set ambitious yet achievable financial targets. Job Responsibilities Analyze financial data and provide insights. Serve as a liaison between Firm-wide P&A, lines of business, Functional Finance teams, and other support teams to deliver impactful reporting, planning, and analyses. Align costs incurred while providing internal services to intended beneficiaries accurately. Perform detailed quantitative analysis and design analytical frameworks to forecast key account performance and profitability drivers, improving forecasting methodologies. Create, maintain, and enhance multi-year financial models for the business, assessing the impact of strategic decisions and trade-offs on the P&L. Partner with leadership to set ambitious, achievable financial targets tied to long-term goals. Provide informative business financial information and coordinate business financial planning and budget management. Partner effectively with finance, marketing, technology, and business teams. Present results and recommendations clearly and concisely. Required qualifications, capabilities, and skills CFA/CMA/CA/MBA (Finance) Minimum 1 year experience in an analytical and financial role and should have worked on Banking products Excellent communication (verbal and written) skills Superior financial modelling acumen Proficiency in Microsoft Office (especially Excel and PowerPoint) Experience in using Data extraction and Data analysis tools like SAS/SQL/R/Python Preferred qualifications, capabilities, and skills Knowledge of Tableau and Alteryx Experience in discounted cash flow valuation a plus Should be flexible to work in EMEA shifts You are a strategic thinker passionate about driving solutions in financial analysis . You have found the right team. As a Financial Analyst in our Finance team, you will spend each day defining, refining and delivering set goals for our firm. You will serve as a liaison between Firm-wide P&A, lines of business, Functional Finance teams, and other support teams. You will provide impactful reporting, planning, and insightful analyses, accurately align costs incurred while providing internal services to intended beneficiaries, and perform detailed quantitative analysis. You will also design analytical frameworks to forecast key account performance and profitability promoters, create and enhance multi-year financial models, and partner with leadership to set ambitious yet achievable financial targets. Job Responsibilities Analyze financial data and provide insights. Serve as a liaison between Firm-wide P&A, lines of business, Functional Finance teams, and other support teams to deliver impactful reporting, planning, and analyses. Align costs incurred while providing internal services to intended beneficiaries accurately. Perform detailed quantitative analysis and design analytical frameworks to forecast key account performance and profitability drivers, improving forecasting methodologies. Create, maintain, and enhance multi-year financial models for the business, assessing the impact of strategic decisions and trade-offs on the P&L. Partner with leadership to set ambitious, achievable financial targets tied to long-term goals. Provide informative business financial information and coordinate business financial planning and budget management. Partner effectively with finance, marketing, technology, and business teams. Present results and recommendations clearly and concisely. Required qualifications, capabilities, and skills CFA/CMA/CA/MBA (Finance) Minimum 1 year experience in an analytical and financial role and should have worked on Banking products Excellent communication (verbal and written) skills Superior financial modelling acumen Proficiency in Microsoft Office (especially Excel and PowerPoint) Experience in using Data extraction and Data analysis tools like SAS/SQL/R/Python Preferred qualifications, capabilities, and skills Knowledge of Tableau and Alteryx Experience in discounted cash flow valuation a plus Should be flexible to work in EMEA shifts

Company: Marsh Description: Mercer is hiring for below position for Gurgaon locationAnalyst Survey Administration What can you expectThis role is for the Data Analyst in the compensation consulting team What is in it for youThe position offers good career advancement opportunities, supported by training and professional development as well as access to the firms global network We will count on you to Client-related activities contact clients during the survey cycle, respond to client ad-hoc queries Support to the market consultants supports participation solicitation, data collection material distribution & follow-up on data submissions, datavalidation and closure of client queries with support from mentor, resolving results acess related issues and respond to ad-hoc queries Internal administrative tasks - update client participation database, ensure that all the documentation and record keeping are complete What do you need to have Graduate in any discipline Comes with 1 year of experience as a data analyst Good to have HR background Minimum 12 months experience as Analyst(B1)/Senior Analyst(B2) Should have at least On-Track or equivalent rating in last appraisal. Should not be under any Performance Counselling Plan or had any official disciplinary action within the last 3 months. Should not have applied for any other IJP in the last 3 months What makes you stand out Good understanding of various areas in HR Excellent interpersonal and communication skills Dynamic, motivated, flexible and result-oriented personality with the ability to perform under pressure Mercer believes in building brighter futures by redefining the world of work, reshaping retirement and investment outcomes, and unlocking real health and well-being. Mercers more than 20,000 employees are based in 43 countries and the firm operates in over 130 countries. Mercer is a business of Marsh McLennan (NYSEMMC), the worlds leading professional services firm in the areas of risk, strategy and people, with more than 85,000 colleagues and annual revenue of over $23 billion. Through its market-leading businesses including YOUR NEXT CAREER MOVEMarsh, Guy Carpenter and Oliver Wyman, Marsh McLennan helps clients navigate an increasingly dynamic and complex environment. For more information, visit mercer.com. Follow Mercer on LinkedIn and X. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.

JD for the Senior Windchill Data Migration Engineer. • 4+ years of experience in large scale data migration projects, preferably in Healthcare Devices manufacturing domain. • 7+ Years of total experience in IT industry. • Experience in using Windchill Bulk Migrator (WBM) tool for the large-scale data migrations to PTC Windchill. • Good experience with data migration ETLV (Extract, Transform, Load and Validation) concepts and tools • Experience in loading huge volume data different source systems to PTC Windchill using WBM or load from file approach. • Develop and execute data extraction and transformation scripts based on migration scope and migration procedure • Strong understanding of Windchill PLM and Manufacturing data model • Good knowledge about the Windchill Database and table structure. • Able to write SQL (Oracle) queries as needed for the work. • Strong analytical thinking and experience in data profiling and analysis • Strong & clear communicator who can communicate effectively with project team • Track data migration defects, analyze root cause, determine solution and support for timely resolution of defects related to extraction and transformation • Support for data cleansing and data construction activities

Role & responsibilities Design, prototype, and deploy AI-driven applications leveraging LLMs (GPT-4, Perplexity, Claude, Gemini, etc.) and open-source transformer models. Lead or co-lead end-to-end AI/GenAI solutions : from data ingestion, entity extraction, and semantic search to user-facing interfaces. Implement RAG (Retrieval-Augmented Generation) architectures, knowledge grounding pipelines, and prompt orchestration logic. Fine-tune transformer models (BERT, RoBERTa, T5, LLaMA) on custom datasets for use cases like: Document understanding Conversational AI Question answering Summarization & Topic Modeling Integrate LLM workflows into scalable backend architectures with APIs and frontends. Work closely with business teams and pharma SMEs to translate requirements into GenAI solutions . Mentor junior engineers and contribute to AI capability development across the organization. Tech Stack & Skills Required Programming & Libraries : Python, FastAPI, LangChain, Pandas, PyTorch/TensorFlow, Transformers (HuggingFace), OpenAI SDK. Data Extraction & Processing : PDFMiner, PyMuPDF, Tabula, PyPDF2, Tesseract OCR, python-pptx. Gen AI / LLMs : OpenAI (GPT), Gemini, Perplexity, Cohere, DeepSeek, Mistral, LLaMA, BERT, RoBERTa, T5, Falcon. Use Cases : NER, Summarization, QA, Document Parsing, Clustering, Topic Modeling, QA over docs. Embedding & Vector Databases : Pinecone, FAISS, ChromaDB. RAG & Retrieval Pipelines : LangChain, Haystack, custom retrievers. Frontend/Backend Integration : React (preferred), FastAPI/Flask, REST/GraphQL APIs. Versioning & Deployment : Git, Docker, CI/CD (basic), cloud knowledge is a plus (AWS/GCP/Azure). Preferred candidate profile Degree in Computer Science, Engineering, Data Science, or related field (BE/BTech/MTech/MCA). 35 years of hands-on experience in AI/ML/NLP/LLM solution development. Strong understanding of GenAI, Prompt Engineering, LLM internals , and multi-layered data architectures. Exposure to pharma/healthcare domain is a significant plus. Excellent problem-solving skills, self-learner, and ability to work in cross-functonal teams. Experience developing new applications within an agile environment preferred. Ability to work independently and as part of a team. Exposure to MLOPs will be an added advantage.

Prospect research and qualification with a focus on enterprise-scale global companies. Conduct B2B data research, create and enter accurate company/contact profiles into CRM/spreadsheet. Achieve daily goals and surpass weekly and monthly lead targets

As a Data Migration Developer, you will play a crucial role in managing the integration and migration of FIS Commercial Lending Solution (CLS) as part of a strategic transformation initiative for the Back Office. Your main responsibilities will include contributing to migration activities from legacy lending platforms to FIS CLS, collaborating with business analysts to implement tools for data collection, preparation, mapping, and loading, testing migration loading to CLS in a controlled environment, and supporting end-to-end dress rehearsals and production migration. To excel in this role, you should have a minimum of 8 years of relevant experience in software engineering, with at least 4 years in ETL tools, and ideally in data migration of financial data. The ideal candidate will be an experienced technology professional with a proven track record of solving complex technical challenges. Your technical skills should encompass data migration & ETL, strong experience with end-to-end data migration processes, hands-on experience with ETL tools such as Informatica, Talend, SSIS, a strong command of SQL, system integration & API work, testing & quality assurance, technical documentation & change management, DevOps & automation, and security & compliance. Additionally, functional skills such as knowledge of the commercial loan lifecycle or basic banking experience, strong hands-on experience with FIS Commercial Lending Solutions, experience with banking core systems and integrations, a good understanding of SDLC and Agile Scrum practices, and soft skills including leadership, problem-solving, communication, and collaboration will be essential for success in this role. In summary, as a Data Migration Developer, you will be at the forefront of ensuring a seamless integration and migration process for FIS CLS, leveraging your technical expertise, problem-solving skills, and collaborative approach to drive the success of this strategic transformation initiative for the Back Office.,

As an intern at Vumonic, your day-to-day responsibilities will involve extracting and parsing email receipts in HTML and PDF formats to identify key data points. You will be required to develop scripts to convert unstructured data into structured formats such as JSON and CSV. Additionally, you will implement regex, NLP, and AI techniques to enhance data extraction accuracy. Collaborating with the data team, you will refine parsing logic and automate processes. Writing SQL queries to store, retrieve, and manipulate structured data will be part of your tasks. When necessary, you will utilize R for data cleaning, analysis, and visualization. Moreover, you will explore and integrate AI/ML-based approaches to improve data extraction and validation. It is essential to stay updated with the latest advancements in AI, NLP, and data parsing technologies. You will also be responsible for testing, validating, and optimizing data pipelines for scalability. About Company: Vumonic is a provider of global data and market intelligence services that assist companies in making data-driven decisions related to strategy, marketing, sales, investments, and more, ultimately enhancing ROI. Vumonic is a rapidly growing startup in the data analytics field with a flat hierarchy.,

Genpact is a global professional services and solutions firm focused on delivering outcomes that shape the future. With over 125,000 employees in 30+ countries, we are driven by curiosity, agility, and a commitment to creating lasting value for our clients. Our purpose, the relentless pursuit of a world that works better for people, guides us as we serve and transform leading enterprises, including the Fortune Global 500, leveraging our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. We are seeking applications for the role of Associate, Data Analyst. As an Associate, you will play a key role in pricing spare parts and driving data analytics for the business. Your responsibilities will include reviewing pricing periodically, identifying gaps, and providing recommendations. Responsibilities: - Perform data extraction, collation, and cleaning using MS Excel/Access. - Ensure pricing data in ERP systems is up to date by identifying and executing necessary activities. - Handle ad hoc pricing analytics requests. - Conduct statistical and pricing analysis using Excel/Access. - Drive process efficiencies through digitization and the implementation of machine learning algorithms. - Support clients on data systems and analysis. - Utilize statistical tools to sanitize, segment, and normalize historical pricing information and master invoice datasets for price rate distribution visibility. Qualifications: Minimum qualifications: - Master's degree in research, statistics, math, economics, or related analytical discipline. - Freshers from reputable institutions or individuals with 2 years of relevant work experience in the data analytics domain. - Curiosity and eagerness to learn. Preferred qualifications: - Proficiency in analytical and presentation tools such as Excel, VBA, and PowerPoint. - Strong analytical skills with the ability to analyze and leverage large data sets for key business decisions. - Good understanding of basic statistics. - Positive attitude and a proactive approach. - Knowledge of R, Python, Tableau, and Power BI is advantageous. This is a full-time Associate position based in Jaipur, India. The ideal candidate will have a Bachelor's degree or equivalent. If you meet the qualifications and are excited about the opportunity to work in data analytics, we encourage you to apply. Thank you for considering a career with Genpact.,

The company Ideapoke is a global, fast-growing start-up with a presence in Bengaluru, Bay Area, Tokyo, and Shanghai. Their software, search, and insights drive innovation for Fortune 500 and Global 2000 companies worldwide. Ideapoke's growth is attributed to its dedicated team, committed to the company's vision and characterized by a strong work ethic and an entrepreneurial spirit. The company values continuous learning, growth, and making a difference, inviting individuals to join their journey. As a Lead Artificial Intelligence at Ideapoke, you will be responsible for collaborating with researchers and engineers across various disciplines to develop advanced data analytic solutions. Your role will involve working on large datasets, mapping business requirements into AI products, and evaluating algorithm performance based on real-world data sets. You will be required to mine data from various sources, design and implement machine learning algorithms, and optimize existing algorithms for accuracy and speed. Additionally, you will be expected to research and implement technical solutions in deep learning for real-world challenges. To excel in this role, you are required to hold a Ph.D., Master's degree, B.Tech, or B.E. in Computer Science, Statistics, Mathematics, Engineering, or related fields. You should possess 10 to 12 years of academic or professional experience in Artificial Intelligence, Data Analytics, Machine Learning, Natural Language Processing, or related areas. Technical proficiency in Python, Java, R, XML parsing, Big Data, NoSQL, and SQL is essential for this position. Moreover, you should have a strong mathematical and statistical background, enabling you to understand algorithms and methods from a mathematical and intuitive perspective. The ideal candidate for this role will be a self-starter with the ability to manage multiple research projects. You should have a flexible approach to learning new skills, be a team player, and possess strong communication skills. Your role will involve establishing scalable and efficient processes for model development, validation, implementation, and large-scale data analysis in a distributed cloud environment. By joining Ideapoke, you will contribute to the company's innovative culture and work towards amplifying success for both the organization and its clients.,

You will be working as a full-time Alteryx Developer in Mumbai with the flexibility to work from home. Your primary responsibilities will include designing, developing, and optimizing workflows using Alteryx. This will involve tasks such as data extraction, transformation, and loading (ETL) processes, along with creating and maintaining Alteryx workflows to meet the business requirements. Collaboration with team members to enhance data analysis and reporting capabilities will also be part of your role. To excel in this position, you should have proficiency in designing and developing Alteryx workflows, experience in data ETL processes, strong data analysis and reporting skills, knowledge of database management and SQL, excellent problem-solving abilities, effective communication and collaboration skills, and the capability to work in a hybrid work environment. Experience in the travel or hospitality industry would be beneficial. A Bachelor's degree in Computer Science, Information Systems, or a related field is required.,

Zycus is looking to hire 2023-24 Fresh Graduates and is organizing a Walk-In drive on 24th August 2024 at our office in Mumbai, Seepz, Andheri East. The position will be on a six-month contract. You will have the opportunity to work with cutting-edge technology using Generative AI and be part of a dynamic and innovative team. You'll also learn about product configuration using business requirements documents. At Zycus, we value our employees and are committed to their professional development. We offer a comprehensive training program to help you develop the skills and knowledge you need to succeed in your role. If you are a recent graduate with strong computer proficiency and would be interested in learning data extraction and procurement, we encourage you to apply for this exciting opportunity. Education: BE/BCA/MCA - 2024 passout Experience Level: 0-1 years Key Requirements: - Strong in Computer Efficiency - Flexible, enthusiastic approach to work including a strong desire to learn new tools & techniques to solve business problems - Ability to collaborate with various internal and external stakeholders - Ability to learn, execute, and excel. Multitask and work with priorities This is a contract position for 6 months. Walk-In Drive Date: 24th August 2023 Time: 10:00 AM to 4:00 PM Venue: Zycus Infotech Pvt Ltd. Plot No GJ-07, SEEPZ++, SEEPZ, MIDC, Andheri East, Mumbai MH 400096 Note: 1. Candidates need to apply for the job online before the Walk-In - https://zycus.sensehq.com/careers/jobs/56164 2. Carry your resume Please note: Our office is located in a high-security zone, and a gate pass is required for entry. To obtain your gate pass, please email us at seepz.consultant@zycus.com with your phone number with a copy of your Aadhar Card and a recent color passport-size photograph. If you need any assistance, you can contact our reception for help with the gate pass at 022-66407676. Five Reasons Why You Should Join Zycus: - Pioneer in Cognitive Procurement: Zycus is a pioneer in Cognitive Procurement software and has been a trusted partner of choice for large global enterprises - Fast Growing: Growing Region at the rate of 30% Y-o-Y - Global Enterprise Customers: Work with Large Enterprise Customers globally to drive Complex Global Implementation on the value framework of Zycus - AI Product Suite: Steer next-gen cognitive product suite offering Zycus helps enterprises drive real savings, reduce risks, and boost compliance, and its seamless, intuitive, and easy-to-use user interface ensures high adoption and value across the organization. Start your #CognitiveProcurement journey with us, as you are #MeantforMore.,

As a Data Analyst Intern at Theater, a dynamic fashion start-up based in Chandigarh, India, you will play a crucial role in gathering, analyzing, and reporting data to support data-driven decisions across various teams. Your main responsibilities will include collecting and extracting data, performing basic analysis to identify trends, creating reports and visualizations using Excel/Google Sheets, preparing and cleaning datasets for analysis, and collaborating with cross-functional teams on data-related tasks. To excel in this role, you should have a strong proficiency in Excel, including formulas, pivot tables, and charts, as well as experience with Google Sheets for collaborative work. Familiarity with data extraction techniques such as APIs and web scraping, attention to detail, analytical thinking, and strong communication skills to present data insights clearly are essential for success in this position. The ideal candidate for this internship opportunity should have completed or be pursuing a Bachelor's degree in Data Science, Statistics, Mathematics, or a related field. Previous experience with data analysis through internships or projects would be a plus. If you are passionate about working with data and supporting data-driven decisions in a fast-paced fashion environment, we encourage you to apply by sending your CV to careers@theater.xyz with the subject line "Data Analyst Intern CV." Theater is an equal opportunity employer that celebrates diversity and is dedicated to creating an inclusive environment for all employees. This internship opportunity at Theater is a 4-6 month contract with a day shift schedule from Monday to Friday, and the work location is in person.,

Job Title: Data AnalystClient: Amazon Employment Type: Full-time (On-site) Payroll: BCT Consulting Pvt Ltd Work Location: Pune (Work from Office Monday to Friday, General Shift) Experience Required: 5+ Years Joining Mode: Permanent with BCT Consulting Pvt Ltd, deployed at Amazon Role Summary We are seeking a results-driven Data Analyst with a minimum of 5 years of experience in data visualization, reporting, and business intelligence to support strategic decisions at Amazon. The ideal candidate will have hands-on expertise in tools like Amazon Quick Sight with SQL , Power BI with SQL , or Tableau with SQL , along with experience in cloud-based solutions using AWS . Key Skills & Technologies Amazon QuickSight / Tableau / Power BI Strong SQL skills AWS (S3, Redshift, Athena, etc.) Data visualization and storytelling Data modeling and ETL processes Analytical thinking and problem-solving ability Required Qualifications Bachelor’s degree in Computer Science, Information Technology, Statistics, or a related field. Minimum 5 years of hands-on experience in data analysis and visualization. Excellent communication and stakeholder management skills.

Job Summary We are seeking a highly skilled Global Data Engineer at the Senior Associate level to support our domestic Digital Finance Transformation team. The ideal candidate will possess advanced expertise in SQL, Alteryx, Power BI, and Python, along with strong experience in current finance use cases and leading practices related to artificial intelligence (AI) and machine learning (ML). This role will focus on building robust data pipelines, developing analytics and reporting solutions, and integrating AI/ML models to drive business insights and process automation. Job Duties Key Responsibilities Collaborate closely with the stateside Digital/Finance Transformation team to understand business requirements and deliver data-driven solutions. Design, develop, and maintain ETL/ELT pipelines using SQL and Alteryx for data ingestion, transformation, and integration from multiple sources. Cleanse, structure, and transform large data sets from various sources (e.g., ERPs, APIs, cloud data lakes). Build and optimize data models and data warehouses to support analytics, reporting, and machine learning workflows. Develop, publish, and maintain interactive dashboards and reports in Power BI for finance and business stakeholders. Integrate machine learning models into data pipelines for real-time or batch inference. Integrate data quality, integrity, and security concepts across all data assets and processes. Automate data processes and workflows to improve efficiency and scalability. Document data engineering processes, data flows, and AI/ML model integration. Translate business requirements into technical solutions and deliverables. Follow best practices in data security, data governance, privacy, and compliance. Qualifications, Knowledge, Skills and Abilities Education : Bachelors or masters degree in computer science, Data Science, Engineering, or related field (preferred). Experience & Skills : Advanced proficiency in SQL for data extraction, transformation, and analysis. Hands-on experience with Alteryx for ETL/ELT workflows and data automation. Strong expertise in Power BI for data visualization, dashboard development, and report publishing. Strong expertise in Python, including data integration and analysis (preferred). Solid understanding of AI and machine learning concepts and leading practices. Experience with machine learning frameworks, data modeling, warehousing, and relational databases. Excellent problem-solving, analytical, and communication skills; comfortable working across time zones in a collaborative, fast-paced virtual environment.

Job Description: Role Title: Manager, Cross Platform Strategy Analytics (09) Company Overview: Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more. We have recently been ranked #2 among India s Best Companies to Work for by Great Place to Work. We were among the Top 50 India s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by AmbitionBox Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies. Synchrony celebrates ~52% women talent. We offer Flexibility and Choice for all employees and provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being. We provide career advancement and upskilling opportunities, focusing on Advancing Diverse Talent to take up leadership roles. Organizational Overview: Our Analytics organization comprises of data analysts who focus on enabling strategies to enhance customer and partner experience and optimize business performance through data management and development of full stack descriptive to prescriptive analytics solutions using cutting edge technologies thereby enabling business growth. Role Summary/Purpose: Manager , Cross Platform Strategy Analytics (individual contributor) role is a part of India Analytics Hub (IAH). Our Analytics team comprises of data analysts who focus on improving Customer/product/digital/ journey experience etc. and growth by providing full stack descriptive to prescriptive analytics via cutting edge technologies to support business objectives. The role needs clear understanding of business requirement , ask right questions , build & review prototype , work with data to generate actionable insights to address project delivery enabling Synchrony s growth and profitability. The candidate must be skilled in data & analytics , has Go Getter Attitude , Goal Oriented and should be able to deliver independently. Key Responsibilities: Deliver independently on a variety of problems by leveraging experience in Data and Analytical Tools Able to work on Cross platform initiatives and helps build scalable solutions across platforms Partner on strategic ideas and POCs targeting revenue growth & larger business adoption Adherence to timely delivery, accuracy and documentation in line with Audit Procedures Mentor/ Guide team members on tools and processes Required Skills/Knowledge: BS or MS in Statistics, Economics, Mathematics, or another quantitative field with 2+ years of hands-on Analytics experience (Distance learning not valid) or in lieu of a degree with 4+ years of experience Minimum 2+ years of hands on Experience in SQL or SAS or Tableau or Open Source Tools with ability to independently build queries for data extraction & aggregation Comprehend key concepts & processes in Retail Finance, translate them into quantitative attributes/metrics Ability to Define Methodology, present insights to larger teams and influence decision making Desired Skills/Knowledge: 2+ years of analytics/data science experience in Financial Services Industry Experience in working with Python and R, preferably in a Linux-based cloud environment such as AWS Knowledge of multivariable calculus and linear algebra with predictive performance or algorithm optimization techniques, ML methods like k-Nearest Neighbors, Naive Bayes, SVM, Random Forest, etc. Eligibility Criteria: BS or MS in Statistics, Economics, Mathematics, or another quantitative field with 2+ years of hands-on Analytics experience (Distance learning not valid) or in lieu of a degree with 4+ years of experience Work Timings: Flexible Shifts For Internal Applicants: Understand the criteria or mandatory skills required for the role, before applying. Inform your Manager or HRM before applying for any role on Workday. Ensure that your Professional Profile is updated (fields such as Education, Prior experience, Other skills) and it is mandatory to upload your updated resume (Word or PDF format) Must not be any corrective action plan (Formal/Final Formal, LPP) L4 to L7 Employees who have completed 12 months in the organization and 12 months in current role and level are only eligible. L8+ Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible. L4+ employees can apply. Grade/Level: 09 Job Family Group: Data Analytics

JD for SAP BW on Hana. Role name: System Administrator Role Description: SAP BW Architect Competencies: Digital : SAP BW on HANA Experience (Years): 10 Above Roles and Responsibilities Design and develop data models using SAP BW on HANA (7.5 or higher) . Work on data extraction, transformation, and loading (ETL) processes from SAP and non-SAP sources. Develop and optimize CompositeProviders, ADSOs, Open ODS Views , and HANA Calculation Views . Collaborate with functional teams to understand reporting needs and translate them into BW solutions. Implement performance tuning techniques for data models and queries. Conduct unit testing, integration testing , and support UAT. Work with BW query designer , Analysis for Office (AO) , and other front-end tools for reporting. Ensure adherence to SAP best practices and governance policies. Provide production support and resolve issues in a timely manner. Collaborate with cross-functional teams for project delivery and enhancements .

At Oracle Health, we put humans at the heart of every conversation. Our mission is to create a human-centric healthcare experience powered by unified global data. As a global leader we re looking for a Data Engineer with BI to join an exciting project for replacing existing Data warehouse systems with the Oracles own data warehouse to manage storage of all the internal corporate data to provide insights that will help our teams to make critical business decisions Join us and create the future! Roles and Responsibilities Proficient in writing and optimising SQL queries for data extraction Translate client requirements to technical design that junior team members can implement Developing the code that aligns with the technical design and coding standards Review design and code implemented by other team members. Recommend better design and efficient code Conduct Peer design and Code Reviews for early detection of defects and code quality Documenting ETL processes and data flow diagrams Optimizing data extraction and transformation processes for better performance Performing data quality checks and debugging issues Conducting root cause analysis for data issues and implementing fixes Collaborating with more experienced developers on larger projects, collaborate with stakeholders on the requirements Participate in the requirements, design and implementation discussions Participating in learning and development opportunities to enhance technical skills Test storage system after transferring the data Exposures to Business Intelligence platforms like OAC, Power BI or Tableau Technical Skills Set : You must be strong in PLSQL concepts such as tables, keys, DDL, DML commands, etc. You need be proficient in writing, debugging complex SQL queries, Views and Stored Procedures. Strong hands on in Python / PySpark programming As a Data Engineer, you must be strong in data modelling, ETL / ELT concepts, programming / scripting Python language, You must be proficient in the following ETL process automation tools Oracle Data Integrator (ODI) Oracle Data Flow Oracle Database / Autonomous Data warehouse Should possess working knowledge in any of the cloud platform like Oracle Cloud (Preferred), Microsoft Azure, AWS You must be able to create technical design, build prototypes, build and maintain high performing data pipelines, optimise ETL pipelines Good knowledge on Business Intelligence development tools like OAC, PowerBI Good to have Microsoft ADF and Data Lakes, Databricks

Key Responsibilities Develop and train machine learning models using Python, scikit-learn, and other ML frameworks. Conduct data wrangling, analysis, and feature engineering using Pandas, SQL, and IPython/Jupyter Notebooks. Architect and implement reproducible data pipelines with Kedro. Build and integrate intelligent applications leveraging Langchain and LLM ecosystems. Develop and deploy scalable ML services on AWS, utilizing services like S3, EC2, Lambda, SageMaker, etc. Containerize applications using Docker and orchestrate deployments with Kubernetes. Manage infrastructure as code using Terraform for provisioning cloud resources. Set up CI/CD pipelines for ML workflows using Jenkins or similar tools. Collaborate using Git for version control and code reviews. Monitor and optimize ML models in production for performance, drift, and reliability. Document technical designs, processes, and results to ensure reproducibility and knowledge sharing. Required Skills and Experience 10+ years of experience in Machine Learning Engineering, Data Engineering, or a similar technical role. Proficiency in Python and solid experience with libraries like scikit-learn, Pandas, and IPython/Jupyter Notebook for data analysis and modelling. Experience developing and orchestrating ML pipelines using Kedro or similar tools. Hands-on expertise deploying applications and ML services on AWS. Strong understanding of Docker and container-based deployments. Practical experience with Kubernetes for orchestration and scaling of ML workloads. Knowledge of Terraform for managing infrastructure as code. Experience setting up and managing CI/CD pipelines using Jenkins or equivalent tools. Solid SQL skills for data extraction, transformation, and analysis. Experience working with Langchain and LLM-based solutions is a significant plus. Familiarity with Git-based development workflows. Strong problem-solving skills and the ability to work independently and collaboratively. Nice to Have Experience with MLOps best practices (e.g., model versioning, monitoring, feature stores). Exposure to additional cloud platforms (e.g., GCP, Azure). Familiarity with security and compliance considerations in ML deployments. Experience working in Agile teams and collaborating closely with cross-functional stakeholders. At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We re committed to fostering an inclusive environment where everyone can thrive.

As a Applied AI ML Associate Sr at JPMorganChase within the Corporate Technology , you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm s business objectives. Job responsibilities Develop and deploy AI/ML solutions to address complex business problems and impactful needs. Build robust data pipelines and deliver advanced analytics by combining data engineering with AI/ML techniques. Engage in research and development of innovative AI/ML techniques. Create, document, and deliver AI/ML program updates for stakeholders. Implement and maintain efficient data pipelines using SDLC best practices. Develop, optimize, and execute for smooth data extraction, transformation, and reporting. Create dashboards and monitoring tools to support ongoing data quality and performance. Collaborate with stakeholders to understand business requirements and translate them into technical solutions. Work with team members to operationalize end-to-end AI/ML solutions. Collaborate with cross-functional teams to align with the mission and vision of the organization. Required qualifications, capabilities, and skills Formal training or certification on Applied AI ML Associate Sr concepts and 3+ years applied experience Proven experience in data engineering and applied AI/ML. Strong skills in data wrangling, analysis, and modeling. Experience in developing scalable data systems and impactful AI/ML models. Ability to engage with stakeholders and translate business requirements into technical solutions. Strong collaboration skills to work across teams and drive strategic initiatives. Understanding of software quality, operational efficiency, and strategic goal achievement. Ability to address existing skill gaps and technical debt in data engineering and AI/ML. Experience in merging traditional data engineering with AI/ML-driven solutions. Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Exposure to cloud technologies As a Applied AI ML Associate Sr at JPMorganChase within the Corporate Technology , you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm s business objectives. Job responsibilities Develop and deploy AI/ML solutions to address complex business problems and impactful needs. Build robust data pipelines and deliver advanced analytics by combining data engineering with AI/ML techniques. Engage in research and development of innovative AI/ML techniques. Create, document, and deliver AI/ML program updates for stakeholders. Implement and maintain efficient data pipelines using SDLC best practices. Develop, optimize, and execute for smooth data extraction, transformation, and reporting. Create dashboards and monitoring tools to support ongoing data quality and performance. Collaborate with stakeholders to understand business requirements and translate them into technical solutions. Work with team members to operationalize end-to-end AI/ML solutions. Collaborate with cross-functional teams to align with the mission and vision of the organization. Required qualifications, capabilities, and skills Formal training or certification on Applied AI ML Associate Sr concepts and 3+ years applied experience Proven experience in data engineering and applied AI/ML. Strong skills in data wrangling, analysis, and modeling. Experience in developing scalable data systems and impactful AI/ML models. Ability to engage with stakeholders and translate business requirements into technical solutions. Strong collaboration skills to work across teams and drive strategic initiatives. Understanding of software quality, operational efficiency, and strategic goal achievement. Ability to address existing skill gaps and technical debt in data engineering and AI/ML. Experience in merging traditional data engineering with AI/ML-driven solutions. Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Exposure to cloud technologies

About this role: Join our dynamic and forward-thinking team within Gartners Global Strategy and Operations (GSO) division, where innovation blends with impactful results. Our Service Analytics Productivity team is at the forefront of developing cutting-edge automated data solutions for Gartner s Global Services Delivery team. We leverage data to uncover transformative insights and strategies, enhancing productivity and boosting client retention. This is your chance to be part of a high-impact analytics team, dedicated to driving automation, solving complex problems, and managing key stakeholder relationships, ultimately delivering significant and measurable business outcomes. What you ll do: Business Intelligence Development: Design, develop, and maintain robust business intelligence solutions using Power BI. Ensure these solutions are scalable and stable to support the evolving needs of the business. Problem-Solving: Independently tackle complex data challenges to create innovative solutions that push the boundaries of conventional thinking. Stakeholder Relationships: Build and nurture strong relationships with stakeholders by understanding and rationalizing automation requirements. Define success clearly and deliver high-quality automated solutions that meet stakeholder expectations. Communication: Effectively communicate project status and challenges to leaders and stakeholders, simplifying complex technical concepts for easy understanding. Data Quality: Uphold the highest standards of data quality and protection. Ensure adherence to control structures that guarantee data accuracy and quality across all data channels, fostering trust and reliability in our data-driven decisions. Ethical Standards Teamwork: Maintain the highest ethical standards while fostering a culture of teamwork and collaboration, contributing to a positive and productive work environment. What you ll need: Educational Background: Possess 2+ years of professional experience with a degree in Engineering, Math, Statistics, or related fields. Your academic foundation will be complemented by a passion for data analytics and innovation. SQL Proficiency: Demonstrate proficient SQL skills for data extraction and manipulation, enabling the creation of innovative data solutions. Data Visualization: Experience with data visualization techniques and tools for impactful storytelling through dashboards, with a primary focus on Power BI. Python: Preferred experience in Python and essential libraries such as NumPy and Pandas, with a track record of creating efficient ETL processes, preferably in Databricks. Problem-Solving Skills: Possess a knack for creative problem-solving, with sharp qualitative and quantitative abilities and a keen eye for detail and accuracy. Communication Skills: Exhibit strong written and verbal communication skills, with the ability to convey technical concepts to a non-technical audience effectively.

For over 30 years, Beghou Consulting has been a trusted adviser to life science firms. We combine our strategic consulting services with proprietary technology to develop custom, data-driven solutions that allow life sciences companies to take their commercial operations to new heights. We are dedicated to client service and offer a full suite of consulting and technology services, all rooted in advanced analytics, to enhance commercial operations and boost sales performance. Purpose of Job As an Associate Consultant in a Data Warehousing project encompass a range of technical, analytical, and collaborative tasks essential for effective data management. You will play a pivotal role to ensure that the organization can effectively leverage its data assets for informed decision-making. Well trust you to: Undertake primary ownership in driving self and team member s effort across all phases of a project lifecycle Oversees and develops Data Warehouse projects to ensure methodological soundness; deliver quality client deliverables within expected timeframe Assist in designing data models that reflect business needs and support analytical objectives Partner with Project lead/ Program lead in delivering projects and assist in project management responsibility like - project plans, and risk mitigation Develop and maintain comprehensive documentation for data warehouse architecture, ETL processes, and system configurations to ensure clarity and compliance Participate in design reviews and code reviews to ensure adherence to quality standards and best practices in data warehousing Foster collaboration with onshore and offshore team members to ensure seamless communication and effective task execution Lead task planning and task distribution across team members and ensure timely completion with high quality and report accurate status to project lead Mentor/coach the junior members in the team Oversee direct and indirect client communications based on assigned project responsibilities: -Foster a culture of continuous improvement and innovation while demonstrating the ability to learn new technologies, business domains, and project management processes -Analyze problem statements and client requirements to design and implement complex solutions using Programing languages, ETL platform Exhibit flexibility in undertaking new and challenging problems and demonstrate excellent task management Provides project leadership for team members regarding process improvements, planned approaches for client requests, or transition of new deliverables. Youll need to have: 2 5 years of hands-on experience in Master Data Management (MDM), within relevant consulting-industry experience Strong understanding of core MDM concepts, including data stewardship, data governance, and data quality management Proven experience in Customer Mastering (HCP/HCO) & address mastering and standardization using third party tools Proficient in data profiling, applying data quality rules, data standardization, and reference data management Familiarity with key pharma data sources such as IQVIA, MedPro, Symphony, etc. Ability to translate both functional and non-functional business requirements into scalable, efficient MDM solutions Hands on experience with leading MDM platforms such as Reltio, Informatica MDM, etc. is a plus Strong logical thinking and problem-solving skills, with a collaborative mindset Proficiency in Python for scripting and data manipulation Strong SQL skills for data extraction and analysis

We re looking for a seasoned SAP Datasphere specialist to design and implement enterprise-level data models and integration pipelines. The role demands strong ETL craftsmanship using SAP native tools, with a foundational knowledge of BW systems leveraged during transitions and migrations. Key Responsibilities Data Pipeline Development Act as an architect for complex ETL workflows leveraging SAP Datasphere s graphical and scripting tools. Should have worked with various sources and targets for data integration such as S/4HANA, ECC, Oracle and other third-party sources. Experience using BW Bridge and using standard BW datasources with Datasphere. Ensure data replication, federation, and virtualization use cases are optimally addressed. Modeling Governance Design and maintain business-oriented semantic layers within Datasphere creating abstracted, reusable data models and views tailored for analytics consumption. Apply rigorous data governance, lineage tracking, and quality frameworks. Performance Operations Should be able to design highly optimized and performant data models that perform well under heavy data volume. Continuously track and enhance the performance of data pipelines and models ensuring efficient processing and robust scalability. Manage workspace structures, access controls, and overall system hygiene. Team Collaboration Mentorship Collaborate with IT, analytics, and business teams to operationalize data requirements. Coach junior engineers and drive standardized practices across the team Must-Have Qualifications Bachelor s degree in computer science, Information Systems, or related field. Minimum 8 years in SAP data warehousing, including exposure to BW/BW4HANA. At least 2 years of hands-on experience in SAP Datasphere for ETL, modeling, and integration. Expertise in SQL and scripting (Python). Solid understanding of data governance, lineage, security, and metadata standards. Must be aware of ongoing and rapid changes in SAP landscape such as introduction of BDC and Databricks to SAP Data and Analytics. Nice-to-Have Certifications in SAP Datasphere, BW/4HANA, or data engineering. Knowledge of data virtualization, federation architectures, and hybrid cloud deployments. Experience with Agile or DevOps practices, CI/CD pipelines.

Job Description: Key Responsibilities Develop and train machine learning models using Python, scikit-learn, and other ML frameworks. Conduct data wrangling, analysis, and feature engineering using Pandas, SQL, and IPython/Jupyter Notebooks. Architect and implement reproducible data pipelines with Kedro. Build and integrate intelligent applications leveraging Langchain and LLM ecosystems. Develop and deploy scalable ML services on AWS, utilizing services like S3, EC2, Lambda, SageMaker, etc. Containerize applications using Docker and orchestrate deployments with Kubernetes. Manage infrastructure as code using Terraform for provisioning cloud resources. Set up CI/CD pipelines for ML workflows using Jenkins or similar tools. Collaborate using Git for version control and code reviews. Monitor and optimize ML models in production for performance, drift, and reliability. Document technical designs, processes, and results to ensure reproducibility and knowledge sharing. Required Skills and Experience 10+ years of experience in Machine Learning Engineering, Data Engineering, or a similar technical role. Proficiency in Python and solid experience with libraries like scikit-learn, Pandas, and IPython/Jupyter Notebook for data analysis and modelling. Experience developing and orchestrating ML pipelines using Kedro or similar tools. Hands-on expertise deploying applications and ML services on AWS. Strong understanding of Docker and container-based deployments. Practical experience with Kubernetes for orchestration and scaling of ML workloads. Knowledge of Terraform for managing infrastructure as code. Experience setting up and managing CI/CD pipelines using Jenkins or equivalent tools. Solid SQL skills for data extraction, transformation, and analysis. Experience working with Langchain and LLM-based solutions is a significant plus. Familiarity with Git-based development workflows. Strong problem-solving skills and the ability to work independently and collaboratively. Nice to Have Experience with MLOps best practices (e.g., model versioning, monitoring, feature stores). Exposure to additional cloud platforms (e.g., GCP, Azure). Familiarity with security and compliance considerations in ML deployments. Experience working in Agile teams and collaborating closely with cross-functional stakeholders.

About Fusemachines Fusemachines is a 10+ year old AI company, dedicated to delivering state-of-the-art AI products and solutions to a diverse range of industries. Founded by Sameer Maskey, Ph.D., an Adjunct Associate Professor at Columbia University, our company is on a steadfast mission to democratize AI and harness the power of global AI talent from underserved communities. With a robust presence in four countries and a dedicated team of over 400 full-time employees, we are committed to fostering AI transformation journeys for businesses worldwide. At Fusemachines, we not only bridge the gap between AI advancement and its global impact but also strive to deliver the most advanced technology solutions to the world. Job Description: As a Business Intelligence Engineer, you will play a pivotal role in leveraging data to drive strategic decisions and enhance operational efficiency. You will be responsible for designing, developing, and maintaining PowerBI dashboards and reports that provide valuable insights to various stakeholders across the organization. Responsibilities: Collaborate with cross-functional teams to understand business requirements and translate them into actionable insights using SQL and PowerBI. Develop visually appealing and interactive dashboards and reports to effectively communicate key performance indicators (KPIs), trends, and anomalies. Optimize data models and queries to ensure efficient performance and scalability of PowerBI solutions. Implement best practices for data visualization, ensuring clarity, consistency, and usability for end users. Work closely with data engineers to integrate data from various sources and maintain data accuracy and integrity. Provide training and support to end users to maximize adoption and utilization of PowerBI tools. Stay updated on industry trends and advancements in data visualization and analytics technologies, recommending improvements and innovations as appropriate. Collaborate with IT teams to ensure compliance with data security and governance policies. Required Skills: Proven experience as a PowerBI Developer or similar role, with a strong portfolio showcasing impactful dashboards and reports. Proficiency in SQL for data extraction, transformation, and manipulation. Solid understanding of data modeling concepts and experience in designing efficient data models. Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions. Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams. Experience with other BI tools (e.g., Tableau) is a plus.

Hiring Data Collectors to gather machine data using our in-house sensors and storage devices. Must be active, willing to travel, and work across top industrial sites. Ideal for those who enjoy fieldwork and hands-on experience in smart maintenance. Accessible workspace Assistive technologies Travel allowance