4,225 data migration consultant jobs in India.

Role : Lead Data ScientistLocation : AhmedabadDepartment : Digital SolautionsEmployment Type : Full-TimePosition Summary : We are seeking a Lead Data Scientist to lead a multidisciplinary team comprising data scientists, Data engineers and Data Analysts within our Digital Solutions https://jobeax.com/link/EyBJi6qGexwhyo9g ...

Role : Lead Data Scientist Experience : 8+ https://jobeax.com/link/elpmNuUlUrtRmNOJ : https://jobeax.com/link/If87lMsSK6eQs17R type : Client-facing Data Science https://jobeax.com/link/UElKnrRfFoXd0J4r responsibilities : - Lead end-to-end Data Science, Machine Learning, and AI projects for clients.- Understand business ...

Job Description :Responsibilities :- Own data problem formulation for AI systems using healthcare, claims, coding, and payer data.- Design training data strategies, including data extraction, labeling, annotation, and quality improvement.- Mine large, complex datasets to identify high-value patterns for improving AI/coding ...

... tracking and reporting - Analyze datasets to derive insights and support business decisions - Use SQL to extract and validate data from multiple sources - Ensure data accuracy through cleaning, reconciliation, and validation - Support periodic and ad-hoc reporting requirements - Identify and resolve data discrepancies and reporting ...

... data ecosystems—where data resides, flows, and how it is accessed. - Troubleshoot and resolve complex technical issues related to collaboration platforms and data access. - Support investigations, audits, and regulatory requests through targeted data retrieval and analysis. - Automate data processes and workflows using ...

... and organize large data sets. - Exceptional attention to detail and a methodical approach to data quality. - Ability to meet tight deadlines while maintaining data integrity. - Basic understanding of data privacy and security best practices. Nice to have - Experience with data entry automation tools (e.g., macros, scripts). ...

... research studies, including surveys, focus groups, and competitive analyses. - Connecting dots building wholistic analysis using internal external data points for data driven decision making -Conduct digital marketing analytics and provide insights for digital marketing -Conducting various analytics by leveraging data points ...

... reusable capability of the AI CoE rather than something rebuilt for each use case. It owns the data layer at feasibility and development) stages and keeps the data running after go-live. Role overview The AI CoE Senior Data Engineer & Architect owns the data layer of the AI lifecycle. You will assess data feasibility for ...

... and evaluation criteria; interpret results, investigate failure modes, check for data leakage and communicate limitations and confidence clearly.- Partner with data engineers and analysts on data profiling, feature engineering, data pipelines, dataset quality, reproducibility and reliable access to data.- Guide specialist ...

... solutions requiring governed access to MDM and DQ data, including predictive DQ risk capabilities. Partnership, Governance & Adoption - Partner with Digital, IT and Data & Analytics on architecture, security, data access and future AI initiatives. - Ensure AI solutions comply with Responsible AI, data privacy, security and audit ...

... patterns such as lakehouse, data mesh, and data fabric. What will you do in this role: - Design, develop, and operate end-to-end data pipelines (ETL/ELT) to ingest data from diverse sources into an AWS-based data lakehouse and data warehouse (batch and/or streaming). - Build curated datasets using strong data modeling practicesincluding ...

Job Description About the Team: The Corporate Supplier Quality - Governance & Performance team plays a critical role in bringing data together from different data sources, applications, third-party sources to make supplier performance transparent for improvement and to develop supplier quality processes to ensure decision-making ...

... Transform business questions into analytical requirements, data models, metrics, dashboards, and actionable recommendations - Design and maintain scalable analytical datasets and reusable semantic layers standardizing business entities and KPIs - Partner with data engineering teams to develop reliable ETL/ELT pipelines and curated ...

... Responsibilities - Design review of mission critical infrastructure for data centers - Working on transaction projects of technologies like water projects, etc. - Compiles data from design documents, contracts - Review technical inputs in financial model for data centres, water technologies etc - Data analysis and crunching - Draft inputs ...

... experience in data management, data governance, or a related discipline. - 8+ years of industry experience with demonstrated work in data management, data governance, data risk, data architecture, data engineering, analytics, or related disciplines. - Demonstrated understanding of data lifecycle concepts, including metadata, classification, ...

... associated business workflows.- Proven ability to frame data science opportunities, leverage standard foundational tools and Azure services to perform exploratory data analysis (for purposes of data cleaning and discovery), visualise data, and identify actions to reach needed results.- Ability to quickly assess current state ...

... documents for easy access and retrieval. 3. Verify and review data for errors, inconsistencies, and discrepancies. 4. Generate reports, charts, and graphs based on data analysis for management review. 5. Assist in data cleanup, data migration, and data entry projects as needed. 6. Collaborate with team members to ensure data ...

Senior Manager of Market Research & Data Analytics at AbbVie will develop market research strategies, analyze syndicated and primary data to inform business decisions, and collaborate across functions to integrate insights into product development and marketing initiatives. Responsibilities - Develop and execute comprehensive ...

... SQL - Data Science Libraries: NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch - Data Engineering Tools: Apache Spark, Airflow, Kafka, or similar frameworks - Databases: MySQL, PostgreSQL, MongoDB, or equivalent data stores - Cloud Platforms: AWS, Azure, or Google Cloud (S3, BigQuery, Redshift, Dataflow) - Visualization ...

... customer information, inventory data, and other administrative information while maintaining accuracy and confidentiality. Key Responsibilities - Enter and update data accurately into company databases and systems. - Maintain customer, order, inventory, and business records. - Review information for accuracy and correct errors ...