VP, Data Science Analyst (Hybrid)

Citi Retail Services Partner Delivery (RSPD) is in need of a VP, Data Science Analyst who can gather and interpret business requirements, analyze and draw data insights and provide specifications to serve the data needs for business and regulatory purposes.

Key responsibilities:

• Work closely with business users across Risk, Marketing, Operations, Decision Management, Finance and Technology functions to elicit, analyze and document clear business requirements.

• Interacts, communicates effectively, and builds strong working relationship on an ongoing basis with business and technology partners.

• Facilitate and document As Is/To Be process flows and gap analysis of business process; research and map input sources and fields, source to target mapping; build test strategy and plans; plan, coordinate and execute validation to ensure solution delivered meets the business needs.

• Extensive experience in data mapping which could be straight through or derived and to perform validation of what was mapped is accurate to source.

• Develop a good understanding of organizations’ s data and processes.

• Conduct rigorous and detail data analysis and research to identify and resolve data discrepancies.

• Develop and recommend forwarding thinking solution designs for reporting deliverables and projects.

• Provide thought leadership to Partner teams on data matters including data management, data lineage, data analytics and data quality.

• Ensure that business intelligence capabilities are developed and maintained to maximize the benefit of data assets.

• Perform ad-hoc analysis to provide analytical information to enable business decision making process.

• Comfortable working on different data environments like SAS, Hadoop/Big Data, Unix and using SQL, different analytical tools to draw data insights.

• Adherence of deliverables to project plans and deadlines.

• Ability to function as a team member and work with many different stakeholders at all levels with strong negotiation and influencing skills.

Qualifications:

• 6-10 years of data analytical experience

• Knowledge of consumer financial services regulatory environment.

• Knowledge of Credit card industry and consumer finance is a significant plus.

• Demonstrated business acumen.

• Have a technical background and has worked as a programmer in the past.

• Expert in managing and interpreting large (in millions) amount of data with strong numerical and analytical skills.

• Experience using MS Office (Word, Excel, Visio, Excel, PowerPoint), Jira, SharePoint and HP QC etc.

• Excellent oral and written commercial communications skills demonstrated impact in the following areas:

• Creative, strategic thinker, solutions-minded, decisive and results oriented.

• High degree of intellectual curiosity – motivated by having impact

• Strong problem-solving skills, adaptability to change and changing work priorities.

• Leveraging …