Top Data Analyst Jobs in Hyderabad

Designs, builds, and maintains scalable Databricks data pipelines using PySpark, Python, SQL, and Delta Lake. Develops ETL/ELT processes, data transformations, logical and physical models, and enterprise data architectures. Ensures data quality, governance, lineage, performance, security, and reliability. Translates business requirements into technical solutions while collaborating with business users and technical stakeholders. The role is hybrid in Hyderabad, requires three office days weekly, and works 2:00 PM to 11:00 PM.

Design, clean, analyze, and visualize data using SQL and Python; build Tableau dashboards; apply statistics and basic ML/DS concepts; follow software/data-engineering practices (version control, unit testing, high-performance code); work with structured and unstructured data and cloud environments.

Analyze operational data and processes, identify bottlenecks, design scalable solutions, automate workflows and reporting with Python and SQL, build dashboards and monitoring, perform root-cause analysis, document logic and collaborate with product, engineering, and ops teams to improve automation and data quality.

Conduct a three-hour interactive online training session on qualitative data analysis, including thematic and content analysis, coding, codebook development, identifying themes, transcript and focus group analysis, practical case studies, and qualitative analysis tools.

Leads data analysis initiatives, reporting, dashboard and KPI development, data modeling, and analysis of large datasets. Translates business requirements into analytical solutions, partners with business and technical stakeholders, ensures data quality and governance, and mentors junior analysts to support data-driven decision-making.

Develop and execute SAP data conversion programs for implementation projects. Perform legacy-to-SAP field mapping, transformation, and loading of master and transactional data using BODS, BAPIs, and IDOCs. Create validation and reconciliation reports, troubleshoot conversion defects, support testing and Go-Live activities, prepare technical documentation, and identify automation opportunities.

Translate client requirements into analyses, gather and analyze data, derive actionable insights using SQL/R/Python/Excel, and build or improve statistical models for decision-making.

Manage daily Data team operations, research and analyze datasets, build internal and external reports (including an annual Startup Ecosystem Ranking), and maintain/improve Python scripts and data infrastructure to deliver actionable insights.

Gather, clean, and analyze data from multiple sources; build and maintain Power BI and Excel dashboards; run SQL queries and Python scripts for automation; collaborate with cross-functional teams to interpret trends and communicate insights; create documentation and improve reporting processes.

Own data quality and root-cause analysis for prediction issues: detect anomalies, trace sources, fix processes, automate QA/reporting with Python and SQL, maintain dashboards, and partner with Data Science, Engineering, Product, and Commercial teams to improve prediction performance and customer-facing analytics.

Support data integrations and quality by checking ingested/system-generated data for anomalies, building and running QA checks and automations with Python and SQL, assisting on customer data queries and dashboards, and documenting findings to improve prediction reliability.

Partner with founders and cross-functional teams to analyze financial and operational data, build executive dashboards, create P&L and margin analyses, forecast and model unit economics, identify cost leaks, reconcile transactions, and present recommendations to improve profitability, cash flow, and business performance.

Maintains and matures security governance, risk, and compliance frameworks; conducts risk assessments, policy management, third-party risk reviews, control testing, and audit coordination. Leads data privacy operations including DPIAs, data mapping, ROPA maintenance, DSAR handling, regulatory monitoring, and privacy-by-design implementation. Develops security and data-handling awareness training and translates legal and technical requirements for business, product, IT, and executive stakeholders.

The Forward-Deployed Data Analyst will engage with African Ministries of Health, build data management solutions, develop dashboards, and support public health decision-making.

Implement and manage SAP data archiving processes across FI/CO and logistics, support data integration and reporting, guide UAT, drive change management, monitor jobs, and troubleshoot performance while coordinating cross-functional stakeholders.

The role involves supporting and maintaining the Azure Data Platform by managing incidents, monitoring performance, and optimizing database operations. Responsibilities include troubleshooting ADF, Synapse Analytics, and ensuring data security compliance.

Lead marketing measurement: own attribution, incrementality testing, and media mix modeling. Design and analyze experiments, build repeatable templates and self-serve analytics, translate results into budget and growth recommendations, ensure data integrity, and embed AI tools into analysis workflows to measure pipeline and revenue impact.