Top Data Analyst Jobs in Hyderabad

Build blockchain data models and datasets by reverse-engineering DeFi protocols, indexing blockchains, and transforming transaction logs, smart contract events, and state changes into structured data. Develop SQL/dbt models, real-time pipelines, lakehouse schemas, and quality metrics for analytics and machine learning. Detect wash trading, bot activity, and Sybil attacks while integrating heterogeneous data through APIs and JSON-RPC.

Own end-to-end data ingestion, architecture, quality controls, reporting, dashboards, commercial analysis, budgeting, forecasting, and AI-enabled automation across a multi-hotel group. Support implementation of an FP&A platform, establish governance, and communicate insights to finance, operations, executives, and board stakeholders. The role requires strong Excel, SQL, visualization, financial analysis, data-quality, and practical AI capabilities.

The Senior Data Analyst designs scalable data models using Medallion Architecture, builds Power BI or Tableau dashboards, analyzes complex datasets, optimizes SQL queries, develops Python automation scripts, and works with Snowflake or similar cloud data warehouses. The role translates business requirements into technical specifications and delivers insights that improve reporting, operational efficiency, and strategic decision-making.

Owns payroll implementation data by extracting, cleaning, mapping, loading, and reconciling employee, compensation, tax, benefits, and retirement data. Performs validation and audit checks, verifies deductions and contribution limits, documents variances, maintains loading records, and updates project and ticketing systems. Works with US implementation specialists to ensure accurate client onboarding and first payroll processing.

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.

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.

Lead SAP MDG and Master Data Management initiatives by translating business requirements into technical specifications, supporting data architecture, overseeing implementation, validating designs, conducting functional testing, and contributing to project estimates, RFPs, and vendor assessments. The role requires strong SAP integration expertise and stakeholder management, with steel or manufacturing experience preferred.

Provide ad-hoc data and reporting support to Sales and internal teams using SQL, Databricks/Count, and spreadsheets. Clarify requirements, investigate discrepancies, resolve basic data issues, support routine data operations, and create reusable queries/reports and documentation to enable self-service.

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.

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.

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.

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.