Senior Data Analyst_Wealth & Asset Management
at Ernst & Young
Posted 5 hours ago
No clicks
- Compensation
- Not specified
- City
- Bengaluru
- Country
- India
Currency: Not specified
Lead data analytics initiatives within Wealth & Asset Management IT domain, translating business data requirements into technical data designs. Role requires 3-7 years as an IT Data Analyst, expertise in domains like Capital Markets and Financial Markets, with hands-on experience in SQL, Python, data modeling, and Power BI. You will work with cross-functional teams to build data pipelines, model data, document source-to-target mappings, and develop interactive dashboards and reports.
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Job description: - (Senior)
IT-DA-Generic with wealth management background
Required skills: -
-
- 3-7 years of experience as an IT- Data Analyst role
- Expertise in at least 1 domain –
- Capital Markets
Financial Markets
-
- Asset Classes & Products
- Trade Life cycle
- Collaborate with cross-functional teams including business teams, developers, and testers to translate Functional Data requirements into Technical Data requirements
- Proficient in preparing data model diagrams, data flow diagrams, and comprehensive data management documentation, i.e. source‑to‑target mappings, transformation specs, workflow documentation, business rules, exception handling
Experience in the following areas
- Explorative data analysis / data validation
- Handling and processing large datasets
- Data modelling / integration
- Data lineage
- Data mapping tools and techniques
- Data analytics
- Data profiling
- Working knowledge of programming language like Python
- Experienced in SQL query writing & developing complex queries across multiple tables
- Understanding of database concepts and information models and stored procedures / functions
Hands-on experience with major industry databases like
- Oracle
- MS SQL Server
- Teradata
- MySQL
- Snowflake
- Working knowledge on Data Visualization & Reporting
- Expertise in designing interactive dashboards and reports using Power BI, applying best practices in visual design, storytelling, and layout.
- Ability to select appropriate visualizations (charts, maps, KPIs, slicers) based on data and business questions.
- Skilled in creating user‑centric visual narratives that highlight patterns, trends, outliers, and key performance indicators.
- Proficient in Power BI Desktop, Power BI Service, DAX, Power Query, data modelling, and publishing pipelines.
Nice to Have
- Cloud integrations (Azure/AWS).
- Understanding of APIs and messaging frameworks.
- Familiarity with data governance & quality tools.
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