Top Data Analyst Jobs in Hyderabad

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.

The Associate Manager leads and mentors a team of engineers while actively involved in coding. Responsibilities include managing backend development, Infrastructure as Code with Terraform, and ensuring delivery of projects with high quality and efficiency.

Design, build, and operate Azure/Databricks Lakehouse solutions including batch and streaming ingestion, storage and dimensional modeling, data transformation and quality, Power BI semantic layers and reporting, observability and security, and cost optimization across data pipelines.

The Associate Manager Data Analyst will design and optimize data analytics programs and pipelines, ensure data governance, and mentor junior analysts while maintaining best practices in ETL processes and using various technologies for data engineering tasks.

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Lead and perform data engineering work supporting healthcare data platforms. Develop and orchestrate AI agents and tool integrations, build pipelines on Databricks/Snowflake, use Python/Perl/Unix and Postgres, apply FHIR healthcare standards, mentor offshore teams, and communicate with internal and external stakeholders.

Design, operate, and govern an Azure + Databricks lakehouse across ingestion, storage, transformation, and serving. Build batch and streaming pipelines with CI/CD, automated data quality, observability, and security controls. Model curated datasets and semantic layers for Power BI, manage PostgreSQL replication and CDC, optimize costs, and collaborate with product owners and data stewards to certify enterprise metrics.

Design, build, test, deploy, and maintain data ingestion, transformation, and storage solutions using Azure, Databricks, and ETL/ELT. Lead data acquisition, address data quality issues, prepare technical design documents, apply DevOps and monitoring tools, and partner with analytics teams to support BI and advanced analytics for healthcare data while ensuring security, scalability, and reliability.

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.

The Reliability Data Analyst will analyze reliability data, assess risks of assets, develop reliability strategies, and communicate insights effectively, while maintaining high quality and efficiency in deliverables.

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.

Execute data processing tasks including validation and delivery, mentor team members, identify improvements, and promote automation using various technologies.

Design, build, and maintain ETL/data pipelines using Sparkola, PySpark, and SQL. Validate and reconcile datasets for downstream analytics (QlikSense, Superset). Use CML for development, manage jobs via Sparkola Job Server, and liaise with business stakeholders while following governance, JIRA, and change-control processes.

The Business Data Analyst will bridge business needs with data solutions, perform data analysis and visualization, and support team collaboration to drive insights and metrics.

Design, develop, and maintain interactive Power BI/Fabric dashboards, conduct data analysis to surface trends and insights, collaborate with stakeholders to gather requirements, ensure data quality through ETL and modeling, and present findings to inform business decisions.

The Supply Chain Data Analyst analyzes complex data sets, monitors inventory levels, develops reports, and collaborates with stakeholders to drive business decisions.

Design and operate an Azure + Databricks lakehouse; build batch and streaming ingestion pipelines with CDC, automated data quality, CI/CD and observability; model curated datasets and semantic layers for Power BI; enforce security/compliance controls and cost optimization; collaborate with product owners and data stewards.

Design, build, and operate Azure/Databricks lakehouse pipelines (batch and streaming) with governance, data quality, observability, and cost controls. Model curated datasets and semantic layers in Power BI, manage PostgreSQL replication/CDC to lakehouse/Synapse, enforce security/compliance, and collaborate with product owners and data stewards to certify enterprise datasets.

The Senior Data Engineering Analyst will design data pipelines using Azure services, manage data warehousing solutions, create ETL processes, optimize database performance, and mentor junior data engineers while ensuring data security and compliance.

Lead business and data analysis initiatives: define KPIs, improve processes, ensure data quality, translate requirements into technical specs, collaborate on Salesforce customizations, present insights, manage projects and UAT, and drive data governance.

Lead the data solutions strategy for PR&C PSP division, managing data initiatives, teams, and collaborating on analytics projects. Ensure compliance, governance, and optimize data services while communicating technical solutions to stakeholders.

Analyze and organize reliability data for fixed and non-fixed assets across large industrial facilities. Assess risk, develop reliability strategies, extract and verify multi-source data, support customer validation meetings, and recommend inspection and maintenance approaches using industry standards and database tools.

Collaborate with game teams to deliver actionable insights that increase user acquisition, engagement, and monetization. Design and instrument analytics events and queries, run exploratory analyses and competitor analysis, generate reports, and design/interpret A/B tests to evaluate game features and offers.

The role involves managing SQL Server databases, ensuring high availability, performance tuning, security, backup strategies, and collaborating with development teams. The position requires on-call support and documentation.

The Lead Reinsurance Data Analyst will oversee reinsurance operations, ensuring data integrity, compliance, and process improvements while leveraging business intelligence and AI tools for operational efficiency.