Job Title: Data & Analytics Solution Analyst
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.
Location: Hyderabad (Hybrid)
Industry: Banking / Financial Services or Insurance or Health Care
Functional Area: Solutions & Delivery
Experience: 7-9 Years

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.
• Strong 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.

Your Key Accountabilities:
• Analyze business requirements, source systems and data to perform problem analysis and identify key insights and reporting needs.
• Perform source system analysis, data profiling and source-to-target data mapping.
• Define KPIs, business rules, data quality checks and analytical requirements.
• Architect analytics solutions, applying appropriate solution architecture styles and design patterns to ensure scalability, reusability and performance.
• Support presales activities, including solutioning, effort estimation and developing presales content such as proposals, POVs and client demos.
• Develop and validate SQL, PySpark, Power BI and Microsoft Fabric-based analytics solutions.
• Perform data profiling, reconciliation, trend analysis and root-cause analysis.
• Collaborate with business, data engineering and BI teams to deliver scalable analytics solutions.
• Support testing, UAT and validation of datasets, dashboards and reports.
• Participate in Agile ceremonies and maintain requirements and user stories in Azure DevOps.
• Present insights, recommendations and solution demos to business and technical stakeholders.
• Ensure data accuracy, performance, security and governance standards are met.
• Mentor juniors and promote analytics and solution-architecture best practices.

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