Top Data Analyst Jobs in Hyderabad

Develop and enhance algorithms and automated processes in Azure, apply AI/LLM use cases, collaborate with business teams, improve deliverables, introduce new technologies, and follow CI/CD and Agile practices.

Analyze large healthcare claims, provider, operational, and financial datasets to identify trends, anomalies, and inefficiencies. Build dashboards, automated reports, and forecasting models; monitor SLAs, throughput, and financial recoveries; perform invoice reconciliation and root-cause analysis. Partner with cross-functional teams to support strategic decisions while maintaining HIPAA-compliant data governance using SQL and Python.

Analyze healthcare claims, provider, financial, and operational data to identify trends, anomalies, and inefficiencies. Build automated reports, dashboards, and forecasts using SQL, Python, and BI tools to support audit, finance, and operations, ensuring data quality, SLA monitoring, and actionable recommendations.

The Data Governance Analyst supports Global Procurement, ensuring trusted data governance, improving master data quality, and partnering cross-functionally to meet reporting needs and enhance decision-making processes.

Perform gap analyses across trading data from multiple source systems, identify discrepancies, build automated reports using Python and SQL, create visualizations (Power BI or Python libraries), present findings to stakeholders, and coordinate with upstream/downstream teams to implement logic and document requirements.

Lead marketing measurement and analytics: design and evaluate A/B, holdout and geo tests; analyze campaign and channel performance; build causal insights and executive-ready recommendations; collaborate cross-functionally to improve measurement frameworks and reporting.

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

Lead and operationalize data governance: develop standards, policies, metadata, glossaries and lineage (Collibra); manage CDEs; resolve governance issues; define metrics and SLAs; coach and lead analysts; collaborate with Business, Technology, Operations and D&A teams.

The Data Analyst will analyze and process data from Private Equity firms, ensuring quality control of financial documents and reporting. Responsibilities include data categorization, research, and resolving issues related to cash flow entries and capital transactions.

As a Data Analyst, you'll convert financial documents into editable files, format data, ensure quality, report daily work, and respond to team communications.

Lead design and execution of data governance policies, metadata management, lineage, and stewardship. Develop standards, tools, and training; manage governance platforms (e.g., Collibra); identify Critical Data Elements; monitor metrics and SLAs; resolve governance issues; collaborate across Business, Technology, and D&A teams; and provide people leadership to coach and develop data governance talent.

Lead analytics for payment integrity by analyzing large healthcare claims and operational datasets, building automated reports, dashboards, and forecasts, monitoring SLAs and financial reconciliations, detecting process inefficiencies, performing root-cause analysis, and partnering with engineering, audit, finance, operations, and leadership to drive operational improvements and reporting accuracy while maintaining data governance and HIPAA compliance.

The Staff Data Analyst will support business and engineering teams through advanced data analyses and reporting, focusing on data visualization and KPI generation. Collaboration with stakeholders, data scientists, and maintenance of analytics tools are key responsibilities.

Partner with business stakeholders to gather and translate requirements, perform data extraction, validation and analysis using SQL and PySpark, and develop insights, reports and dashboards (QlikSense, Superset). Support data quality, lineage, governance, UAT, and Agile delivery while collaborating with data engineering and operations to ensure accurate, auditable reporting.

Perform operational reporting and ad-hoc analysis using SQL, identify trends and inefficiencies, track SLAs and key metrics, and present data-driven recommendations. Collaborate with operations and business teams to document processes, support recurring deliverables, and drive process improvements through clear presentations and stakeholder communication.

Lead design and delivery of analytical products, source-of-truth datasets, semantic layers, and metric frameworks. Define and validate metrics, dimensions, data quality checks, and reporting standards. Build and maintain SQL and Python workflows, dashboards, and self-service analytics. Partner cross-functionally to resolve reporting issues, perform ad hoc analysis, ensure data governance, and mentor team members on analytics and metric governance.

Build and maintain ETL/data pipelines, write optimized SQL queries for analysis and reporting, process large datasets, provide clean reliable data to stakeholders, and collaborate with cross-functional teams on data requirements.

Design, build, and maintain scalable Azure-based data engineering solutions (Databricks, ADF, Snowflake). Develop ETL/ELT pipelines, CI/CD, orchestration, and monitoring. Ensure data quality, security, and compliance for healthcare data. Support production and on-call duties. Apply GenAI techniques and build APIs/containers as needed.

Design, build, and maintain scalable Azure data engineering solutions (Databricks, ADF, Snowflake). Develop ETL/ELT pipelines, batch and near real-time workflows, CI/CD and orchestration, and ensure data quality, security, and compliance in healthcare. Support production/on-call, collaborate with stakeholders on architecture, and apply GenAI techniques (RAG, LangChain). Contribute to API development (FastAPI) and containerized delivery (Docker).

Early-career Data Analyst who designs and owns core analytics, dashboards, and data pipelines. Analyze transaction, customer, and credit data to inform credit, fraud, AML, portfolio performance, unit economics, and growth. Build automations and workflows with SQL and Python, partner with cross-functional teams, and own compliance reporting and durable analytical systems.

Seeking a Data Analyst with 6-9 years' experience in Python-driven data analysis or automation. Must be strong in Python programming, basic AWS, shell scripting, and Linux to build analysis scripts, automate workflows, and operate in Linux/AWS environments.

Senior Data Analyst role based in Chennai or Bangalore requiring strong SQL and visualization skills (Power BI or Tableau). 8+ years experience required. Python and PowerAutomate familiarity preferred. Responsible for analyzing data, building dashboards, and supporting reporting and automation.

Conduct consultative analytics and deliver executive-level recommendations and ad hoc analyses to business and finance partners. Build self-service dashboards and presentations, perform predictive modeling and time-series forecasting (preferably for workforce optimization), provide cost-benefit analyses for investments, and streamline processes while communicating insights to senior stakeholders.

Perform consultative analytics and predictive modeling to produce executive-level recommendations and ad-hoc analyses. Build dashboards and presentations for senior management, support finance and business partners with cost-benefit and workforce optimization analyses, streamline processes, and communicate insights clearly to influence decision-making.

Lead workforce analytics to inform talent strategy and workforce planning. Build dashboards, forecasts, and predictive models; integrate Workday, Databricks, SQL, and Excel data; present insights to HR and business leaders; improve data governance, automate reporting, and mentor junior analysts.