Top Data Analyst Jobs in Hyderabad

Analyze complex supply chain data to improve performance, monitor inventory, develop reports, and support key initiatives in collaboration with stakeholders.

Ensure integrity and reliability of enterprise data ingestion and pipelines by validating data against rules and specs, profiling and reconciling data, building automated testing frameworks and validation utilities, monitoring pipeline health, investigating incidents, and tracking data quality metrics while collaborating with technical and business teams.

The Software Engineer - Data Analyst / Developer will support the BI team by analyzing business needs, developing reports, dashboards in Tableau, ensuring data quality, and providing user support.

Responsible for data extraction, collation, and analysis in asset management; requires communication with investment professionals; ensures data quality and processes for information collection.

Lead logistics analytics projects: design KPIs, dashboards, and reports (Power BI/Excel); perform root-cause analysis; support implementations, integrations, and cross-functional decision-making.

Analyze and QA client and production data, create SQL queries and reports, monitor data warehouses/data marts, identify and resolve data defects, provide actionable insights and recommendations, and communicate findings to internal and external stakeholders to support business decisions.

The Data Management Analyst II manages configuration updates for provider data, ensures data quality, documents processes, and supports client implementations and operations teams while driving improvements in data workflows.

The Sr Analyst, Data Science will develop software and algorithms for data analysis, build AI models, collaborate on data projects, and provide actionable insights to drive business goals.

The Data Analyst role involves data analysis and reporting, supporting decision-making processes through data insights.

Lead and shape group-wide data and analytics projects, produce senior-tailored insights, analyse cross-source data, and identify business impacts. Manage or supervise a small team, coach colleagues, improve processes, and deliver outcomes using PowerBI, SQL, Group Data Warehouse and Genesys Cloud ETL/reporting.

The Data Analyst Manager will lead the data analytics team, develop data strategies, ensure data correctness, and coordinate with different departments for insights.

The role involves maintaining and improving Power BI dashboards, troubleshooting data models, ensuring data accuracy, and preparing data using Python. Communication in English and Spanish is essential for stakeholder interactions.

Design, build, and maintain cross-vendor market data pipelines and QA processes. Investigate complex data issues, handle escalations, collaborate with product and engineering via JIRA, and ensure data accuracy for equities fundamentals, estimates, and market data.

As a Product Data Analyst, you'll manage data analytics, capture user behavior, optimize user experience, and analyze user journeys across SaaS and On-premises offerings.

The Sr Data Analyst will build and optimize cloud data pipelines, create data models, develop ETL processes, design Power BI dashboards, and collaborate with various teams to enhance data solutions.

The role involves developing analytics solutions, collaborating with teams to identify requirements, and improving data platforms to enhance performance.

Support data migration projects by mapping, cleansing, validating, transforming, and documenting data from source systems to target systems. Troubleshoot conversion issues, collaborate with Product Onboarding, and use data management tools to ensure data accuracy and integrity throughout the conversion process.

Support data engineering activities to make raw data usable and accessible. Work on limited-scope projects, follow established procedures, learn under supervision, and apply basic data engineering concepts. Databricks knowledge is preferred.

The Data Operations Business Analyst manages documentation of data specifications and metadata for enterprise data sources, ensuring governance and operationalization. This role collaborates with stakeholders and engineering to create trusted data products and governance processes.

The Sr. Analyst, Data Analytics analyzes data, identifies solutions, develops reports, and communicates strategies to improve business performance in the financial services sector.

Support data migration and mapping activities for Workday, including bulk loads, data quality checks, and documentation under senior analysts' guidance.

Develop and maintain database objects and ETL processes using SQL Server and Oracle. Write complex SQL for extraction, transformation, and reporting. Support data pipeline development, performance tuning, data quality checks, migrations, schema design, production incident resolution, documentation, and code reviews while collaborating with development teams.

Design, build, and operationalize analytics and visualization solutions using data from GCP, Oracle, and SAP HANA. Collaborate with stakeholders to define requirements, apply BI&A methodology, develop dashboards and metrics, and interpret analyses to identify trends, forecasts, and alternatives to support business objectives.

As a Technical Lead Business Analyst, you will analyze policy submissions, support product enhancements, document requirements in Jira, and collaborate with cross-functional teams for continuous improvement.

The role involves collecting, preparing, and reporting statistical data, ensuring data accuracy, and providing technical support for analytical tools. Communication with stakeholders and maintaining data dictionaries are key responsibilities.