The Data Analytics Senior Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Strong communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits. Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual.
Responsibilities:
- To manage the APAC/EMEA/NAM functional requirement gathering, solution designing and delivery of Banking and Cards domain requirements in Wealth Data hub.
- Coordinate with business, EDO and upstream/downstream technology stakeholders to understand the requirements and get the optimal solution designed for the strategic Wealth Data hub layer.
- Drive solution discussion and coordinate code design/development /delivery with dev colleagues to ensure a timely and high quality code implementation.
- Develop deep relationships with business stakeholders to understand the business problems/ requirements in banking/cards areas and propose solutions to leverage Wealth Data hub to solve the business requirements
Qualifications
- Deep understanding of retail banking products and functions (Deposits, Savings and Checking, Money market funds, Certificate of Deposits) Payments, Fund Transfers etc.)
- Deep understanding of Card products, associated processes and life cycle.
- Understanding of Private banking and wealth management
- Experience in Hadoop technologies, Data warehousing technologies
- Comfortable in SQL
- Excellent written and verbal communication skills, with the ability to present complex financial information clearly and concisely to both technical and non-technical audiences.
- Ability to work effectively both independently and as part of a team. Strong collaboration and relationship-building skills are crucial for success in this role.
- A self-starter who takes initiative and is driven to achieve results
- Possesses a strong analytical mindset and meticulous attention to detail to ensure accuracy and completeness in all tasks
- Able to adapt quickly to changing priorities and work effectively in a dynamic environment
- Snowflake experience
- Experience in Data lineage identification, DQ rules implementation
- Risk and Finance Regulatory reports exposure
Education:
- Bachelor’s/University degree or equivalent experience
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
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Job Family Group:
Technology------------------------------------------------------
Job Family:
Data Analytics------------------------------------------------------
Time Type:
Full time------------------------------------------------------
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