Senior Data Analyst

Data Analyst

📍 Location: Hyderabad (Hybrid)

🕒 Experience: 7–10 Years

Skills Required:

• Strong understanding of Data Warehouse Concepts

• ETL Tool: Informatica (Must)

• Python: Moderate proficiency

• Advanced SQL

• Data Visualization: Power BI / MSTR

• Domain experience in Investment Banking, Capital Markets, Asset Management, Wealth Management, Valuations

•Analyze data related to Investment Management operations including Security Masters, Securities Trade and Recon Operations, Reference data management, Pricing to generate actionable insights.

•Develop and maintain comprehensive data mapping documents and work closely with data engineering teams to ensure accurate data integration and transformation.

•Partner with Business Analysts, Architects and Data engineers to validate datasets, optimize queries and perform reconciliation.

•Support the design and delivery of Investment data and reporting solutions, including data pipelines, reporting dashboards.

•Collaborate with Data Engineers, Data Architects, and BI developers to ensure design and development of scalable data solutions aligning with business goals.

•Manage and oversee investment data, ensuring its accuracy, consistency, and completeness.

The Minimum Qualifications

Experience:

•7-9 years of experience as a Data Analyst or similar role supporting data analytics projects.

•5+ years of Mastery in SQL.

•5+ years of experience in Investment banking, Capital market, Asset management, wealth management, evaluations

•Experience with data manipulation using Python.

•Domain knowledge of Investment Management operations including Security Masters, Securities Trade and Recon Operations, Reference data management, Pricing.

•Investment Operations exposure - Critical Data Elements (CDE), data traps and other data recons.

•Familiarity with data engineering concepts: ETL/ELT, data lakes, data warehouses.

•Experience with BI tools like Power BI, MicroStrategy, Tableau.

•Excellent communication, problem-solving, and stakeholder management skills.

•Experience in Agile/Scrum and working with cross-functional delivery teams.

•Proficiency in financial reporting tools (e.g., Power BI, Tableau).

The Ideal Qualifications

Technical Skills:

•Familiarity with regulatory requirements and compliance standards in the investment management industry.

•Ability to lead cross-functional teams and manage complex projects.

•Hands-on experience with IBOR’s such as Blackrock Alladin, CRD, Eagle STAR (ABOR), Eagle Pace, and Eagle DataMart.

•Familiarity with investment data platforms such as GoldenSource, FINBOURNE, NeoXam, RIMES, and JPM Fusion.

•Experience with cloud data platforms like Snowflake and Databricks.

•Background in data governance, metadata management, and data lineage frameworks.