Data Analytics Senior Analyst - C12 - CHENNAI

Citi; United States; Remote; USD 90,000 - 120,000; Full time

Job summary

A leading company is seeking a Data Analytics Senior Analyst to manage functional requirements and deliver solutions in the Banking and Cards domain. The role requires deep banking knowledge, strong analytical skills, and the ability to collaborate effectively with stakeholders. The ideal candidate will have experience in Hadoop and SQL, and will play a key role in influencing project outcomes through their expertise.

Qualifications

• Deep understanding of retail banking products and functions.
• Experience in Data lineage identification and DQ rules implementation.

Responsibilities

• Manage functional requirement gathering and solution designing.
• Coordinate with stakeholders for optimal solution design.
• Drive solution discussions and ensure timely code implementation.

Skills

Analytical Skills

Communication

Collaboration

Relationship Building

Self-Starter

Education

Bachelor’s/University degree

Tools

Hadoop

SQL

Snowflake

Job description

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.

------------------------------------------------------

Job Family Group:

Technology

------------------------------------------------------

Job Family:

Data Analytics

------------------------------------------------------

Time Type:

Full time

------------------------------------------------------

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi .

View Citi’s EEO Policy Statement and the Know Your Rights poster.