Data Scientist
1872 consultingTempe (AZ)
About the role
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 preferredExperience 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 preferredExperience 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
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Your notice period
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