Senior Data Analyst Contract

We are hiring for our client in the investment sector

Responsibilities / Individual Accountabilities:
• Leads sessions with the business to gather requirements and get sign-off.
• Produces and maintains Business Requirement Document (BRD), source to target mappings (STM) and other DA related documentation.
• Ensures that project team delivers a data asset that meets business requirements.
• Liaises with various teams and stakeholders to get alignment.
• Data analysis, data profiling and metadata collection
• Leads UAT activities with business and obtains sign-off

Qualifications:
Must have Requirements:
1. 5 – 10years experience as a Data Analyst preferably in the Wealth Management (.i.e.Retail, Retirement, Institutional or General Accounts) domain
2. 2 – 3 years of GenAI working experience
3. Adobe Journey Optimizer working experience (updated to a nice to have skill)
4. Experience with data-centric projects delivering the following (preferably within a capital markets or investment banking domain): Master data management, Data integration, Data warehousing and reporting. Big Data environment for analytics
5. Hands-on writing complex SQL queries to analyze data and provide results to business users or project team members.
6. Hands-on delivering data documentation artifacts in organizations of similar size and complexity within project deadlines.
7. Able to communicate clearly, both verbally and in written form at various levels within the project teams
8. Experience in major trading platforms, book of record systems, performance management platforms, such as Bloomberg Polar Lake, SimCorp Dimension, Findur, Apex, Eagle, Charles River, Sylvan, Calypso.
9. Intermediate to senior hands-on business analyst experience in building data infrastructure or developing data in a data lake or data warehouse.
10. Hands-on knowledge of data modeling, data loading, data profiling, and data validation using SQL scripts.
11. Deep knowledge of integrating new data sources into a data lake or data warehouse.

Tagged as: business requirements, capital markets, data analysis, data mapping, data modeling, data validation, investment