Top Data Analyst Jobs in Hyderabad

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.

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.

Analyze complex datasets, write SQL queries, build and maintain Tableau dashboards, validate and transform data, design data pipelines with Snowflake or IBM DataStage, document processes and flows in Visio, and communicate insights to stakeholders.

The Business Data Analyst II will design and optimize SQL and PL/SQL scripts, develop Java applications and RESTful APIs, gather requirements, and ensure solutions maintain data integrity and security.

Design and optimize SQL scripts, develop Java applications and APIs, lead collaboration sessions, and ensure solutions adhere to RDBMS principles.

The Sr Data Analyst will analyze business requirements, handle SAS Algo development, collaborate with teams, and drive optimization in healthcare projects. Requires extensive experience in various technologies and strong analytical skills.

The Senior Data Analyst will support clinical informatics projects, mapping medication data, resolving issues, and developing terminology policies while ensuring data quality.

The Data Governance Analyst supports Global Procurement by improving data governance, quality, and reporting, enabling AI-ready procurement data and collaboration between teams.

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

The Data Analyst will track, analyze, and report on implementation and managed services performance metrics, ensuring accurate Salesforce reporting and delivering insights for business reviews.

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.

The Senior Data Engineering Analyst will build data models in Power BI, maintain analytics pipelines and ensure performance tuning while using Azure and related technologies.

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.

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

The Lead Data Analyst will manage client inquiries, analyze banking datasets, and leverage SQL and Python for data manipulation. Responsibilities include quality assurance, data visualization using Power BI, and collaborating with cross-functional teams.

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.

The Data Analyst will analyze datasets, utilize AI for data exploration, automate reporting, perform web scraping, create visualizations, and collaborate with teams to provide insights for content studies.

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

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.

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

The Data Analyst role involves data analysis and reporting, supporting decision-making processes through data insights.

The Data Analyst Manager will lead the data analytics team, develop data strategies, ensure data correctness, and coordinate with different departments for insights.

The Data Analyst will analyze complex supply chain data, recommend process improvements, ensure data accuracy, and support AI initiatives across multiple enterprise systems.

As a Product Data Analyst, you'll manage data analytics, capture user behavior, optimize user experience, and analyze user journeys across SaaS and On-premises offerings.

The Senior Data Analyst will oversee data and analytics solutions, mentor other analysts, author functional requirements, and collaborate across teams. They must analyze data and contribute to data governance and architecture.