Data Scientist

Data Scientist

Responsibilities include:

• Responsible for end to end Cards insight creation, support in Card campaign, developing & building card related insights
• Responsible for managing/maintaining Card programs i.e. Card Opportunities, Portfolio management, Value at risk, Card Explorer, Spend program etc.
• Data mining and developing relevant data transformation logic
• Designing processes to integrate data from multiple sources to facilitate client centric advanced analytics
• Understand and connect the dots to different aspects of Card program.
• Build, design, and develop the insights for decision making as well as building/assisting the dashboards design for Business Users.
• Responsible for identifying and exploring all relevant data sources, generate the understanding, develop the logic to transforms into insights that can be leveraged into decision making and other needs.
• Documenting data transformation logic
• Developing efficient, scalable and repeatable processes to transform data on regular basis
• Communicating with IT partners to share selected transformation processes by facilitating and reviewing business requirements
• Design, build, develop and maintain the Analytical solutions to understand Card Clients behavior.
• Develop analytical solutions to recommend Card product team to produce meaningful results.
• Partnering with other data scientists/business analysts to make them familiar with the transformed information so that it can be appropriately used by other analysts and statisticians
• Managing processes designed and developed by the information foundation team
• Using best practices framework to ensure data quality and reconciliation checks are in place and are transparent to our users
• Leveraging communication skills to collaborate effectively with analysts across company
• Evaluating effectiveness of the transformation process and delivered information by working with users of information
• Partnering with business groups to understand the Business case/Use case to develop/design best-in-class analytical solution(s).
• Ability to research external insights and blend with internal insights to create and understanding of the market place (Clients/Prospects).

Qualifications

• Solid understanding of writing and understanding of complex SQL queries
• Extensive knowledge and experience in Oracle SQL, PLSQL, and SAS tools/techniques
• Demonstrated experience with the data mining tools SAS/Anaconda and SQL preferably through Oracle PL/SQL.
• Strong background in SAS programming and SQL coding is preferred
• Experience transform business specifications and requirements into well documented and scripted SQL, PL/SQL processes.
• Ability to develop and enhance complex PL/SQL scripts, queries, and stored procedures and ETL processes
• Proven Documentation (technical and user documentation) and Verbal and written Communication skills
• Good understanding of BI Methodologies and Practice
• Experience with systems integration, building system models by combining model components and testing the integrity of modeling systems, proficient with model and systems implementation testing
• Knowledge of Data Governance and DQ framework is a plus
• Background in data management in Banking/Finance industry is preferred
• Experience with ETL and data modeling tools is a plus
• Strong analytical and problem solving skills
• Demonstrated ability to self-manage and multitask in a dynamic, ever-changing environment
• Effective time management and organizational skills
• Flexibility to work/manage variety of projects
• Bachelor/Masters in Computer Science, Finance, Accounting, Economics, Statistics or operational research
• Working knowledge with Tableau is a plus
• 6+ years of experience in analytics and/or business intelligence space