Senior Data / Business Analyst

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Position: The Senior Data / Business Analyst

City: New York, NY/ San Francisco, CA

Duration: 12-24 Months

Description:

The Senior Data / Business Analyst acts as a liaison between the business users and technical teams involved in planning, conducting, and directing the analysis of complex business problems. The Analyst supports Enterprise Data and Client Insights (EDCI) department in building centralized data assets in support of banking operations, sales organization, cross-functional analytics and reporting. The analyst will have the opportunity to work with multiple business units on building and improving the data infrastructure in one of multiple corporate project initiatives that span around bank's consumer and commercial loan originations, monetary transactions, non-monetary transactions such as call center data, client contact information and Omni-channel client interactions. The individual develops detailed business requirements for identified use cases, analyzes internal and external datasets to derive insights into developing curated and enriched datasets to address the business requirements. The individual will work with Data SME's, Business SME's, Product Managers and Technical teams by building detailed technical (source to target) specifications to aid in the development of data driven solutions to cater towards users that shall use the enriched information for analytics, internal and external reporting.

Essential Duties and Responsibilities:

• Develop detailed data mapping (source to target) document encompassing business and transformation rules that address data definition normalization across deposits, lending and client interactions data
• Document business and functional requirements to cater towards short term and long term management reporting, regulatory reporting, dashboards and analytical needs of the business units
• Performing data analysis and design activities at the operational and organizational level to build a single source of truth (central repository) for client interactions or loan originations or monetary transactions
• Develop robust SQL or python scripts to test source to target mappings delivered by the technology team and implement robust data quality rules
• Develop reporting proto-types with the goal of industrialization in a controlled environment
• Engage and direct business partners and subject matter experts to identify priorities, scope, and requirements for complex business problems
• Engage technical development team members to transition requirements to design, and to determine appropriate design approach
• Support business teams in the planning and execution of QA and UAT testing with test cases documentation
• Act as the Business and Data analyst that liaisons between business units and the project team
• Document the reference data and Meta data for each release of the iterative delivery of curated/enriched data repositories (e.g., Client Interactions Hub or Originations Mart)
• Develop documentation to meet the expectations of Internal and External auditors.

Experience/Skills Required:

• 7+ years of business and data analysis experience in the implementation of data driven solutions such as a recommendation engine or delivering customer insights or analytical capabilities for models.
• 5+ years of banking or financial services industry experience in the domain of loans, deposits, and brokerage and wealth management.
• Excellent SQL and Python skills to analyze, profile data and build report prototypes before handing over to Data Engineering team.
• Ability to communicate complex ideas as simple, easy to understand concepts; ability to present effectively to both business and technical audiences at all levels of the organization.

Please share the following details for submission:

1. Updated Resume.

2. Visa copy

3. Passport no (if H1B or EAD):

4. LinkedIn id:

5. Current location:

6. Availability:

7. Last 4 digit of SSN (if applicable)

8. Relocation: