Top Data Analyst Jobs in Hyderabad

The role involves managing a team of data analysts to ensure the quality and usability of healthcare market datasets, implementing analytical standards, and translating complex data outputs into actionable business insights.

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.

Support liquidity analytics by monitoring and resolving issues in liquidity risk systems, performing data analysis and stored-procedure optimisation, developing proof-of-concept models, and creating dashboards (Tableau/Superset). Collaborate with technology and cross-functional teams, document processes, and contribute to continuous improvement of risk management tooling and visualisation.

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 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.

Design and operate scalable, low-latency MongoDB-based enterprise data platforms. Build real-time and batch ingestion pipelines (Kafka/Event Hubs), enable API-first data services, optimize performance/sharding/indexing, ensure governance and security (HIPAA), and support ML feature-store and inference data access.

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.

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

Lead data quality, governance, and metadata initiatives; analyze and remediate data quality and control gaps; test data controls; define metrics and audits; drive remediation projects; mentor staff; develop dashboards and reports; liaise with stakeholders to ensure governance compliance and improve data processes.

Lead companywide data governance and data quality initiatives, oversee regulatory reporting and audits, evaluate metrics, recommend remediation, identify new data sources, lead projects and teams, mentor staff, drive automation and analytics solutions, and deliver executive-ready dashboards and stakeholder recommendations.

Lead and participate in data quality, governance, and metadata programs. Analyze and remediate data quality, controls, and integrity gaps. Develop metrics, audits, remediation plans, and governance strategies. Mentor teammates, manage deliverables, coordinate remediation efforts, and produce dashboards and reports to communicate data quality and compliance to stakeholders.

Analyze large marketing datasets using Python and SQL to build and optimize campaign audiences, generate actionable insights, create dashboards, ensure data quality, and support campaign performance and strategy discussions with stakeholders.

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.

Design, develop, and maintain scalable ETL pipelines and data integrations. Build and optimize complex SQL, Python automation, and reporting solutions (Power BI/Tableau/SSRS). Troubleshoot performance, ensure data quality and governance, participate in client-facing discussions, code reviews, deployments, and technical design.

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.

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.

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.

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.

Assist in designing, developing, and maintaining data product pipelines. Use SQL, Python, and GCP to collate and analyze data, support colleagues, follow established processes, identify improvements, and receive coaching from senior engineers.

Lead and execute data analysis projects across the group, producing insightful reports for senior stakeholders, supporting operating model development, coaching or supervising a small team, improving processes, and advising on IT security, risk, and knowledge management within established systems.

Lead and execute data analysis projects, produce senior-tailored insights, identify process and IT security gaps, and implement improvements. Manage or supervise a small team, coach colleagues, deliver outcomes within established data, risk, and knowledge management systems, and communicate findings across stakeholders.