: Data & Analytics Solution Analyst

Experience: 7+ Years

Location: Hyderabad

Industry: Banking / Financial Services or Insurance or Health Care

Primary Skill: Analytics Use Case Analysis, Data Sources Analysis, Data Engineering, Data Modeling, Data Quality, Business Intelligence, Machine Learning, Generative AI/BI, Agile Process.

Secondary Skill: SQL, Python/PySpark, dbt, Azure, Microsoft Fabric, Databricks, Snowflake, Power BI.

Must-have Skills:

- An ideal candidate should have a good academic background with at least a B.E./B.Tech degree in Computer Science Engineering with 7-9 years of overall work experience.
- At least 6+ years of hands-on experience in Data Engineering, Data Analytics, Business Intelligence and Data Management, preferably within the Banking / Financial Services or Insurance or Health Care domain.
- Strong experience in Analytics Use Case Analysis — translating business problems into analytical solutions, KPIs and reporting requirements.
- Hands-on experience in Data Source Analysis, identifying data relationships, defining business rules and source-to-target mapping (STTM) for analytical or reporting requirements.
- Strong experience in Data Engineering, building and validating data pipelines using SQL, Python/PySpark and Spark SQL.
- Strong experience in Data Modeling (dimensional and relational) to support analytics and reporting use cases.
- Robust knowledge of Data Quality — data profiling, exploratory data analysis, reconciliation and data-quality rule definition.
- Strong experience in Business Intelligence using Power BI, including data modeling, DAX,



Power Query, dashboard development, KPI reporting and performance optimization.
- Working knowledge of Machine Learning concepts and their application to BFSI analytics use cases.
- Exposure to Generative AI/BI capabilities and applying GenAI techniques to analytics and reporting solutions.
- Experience using SQL for data analysis, including joins, CTEs, aggregations, stored procedures,
- Strong experience in Agile Process and Azure DevOps.
- Working knowledge of Azure and Microsoft Fabric-based data and analytics platforms.
- Experience in conducting Discovery and Design workshops with key stakeholders comprising both Business and IT teams.
- Experience in co-ordinating/collaborating with on-shore and off-shore teams for solution delivery.
- Excellent communication and presentation skills.

Nice-to-have Skills:

- Hands-on experience with dbt for data transformation and modeling.
- Exposure to Databricks and Snowflake as alternate cloud data platforms.
- Solid functional understanding of Banking / Financial Services or Insurance or Health Care business processes.
- Exposure to various Data & Analytics solution architecture styles and design patterns.
- Experience with key Data Management principles including Data Governance, Data Cataloging and Master Data Management.
- Exposure to Microsoft Purview.
- Exposure to presales activities such as solutioning, effort estimation and proposal support for analytics engagements.
- Exposure to statistical analysis or advanced machine-learning use cases within BFSI would be an advantage.

📌 Data & Analytics Solution Analyst (Hyderabad)
🏢 iXceed solutions
📍 Hyderabad