Data Analyst - BFS

Job Description :

- Collaborate with internal/external stakeholders to manage data logistics - including data specifications, transfers, structures, and rules

- Access and extract credit and retail data from a variety of sources of all sizes (including client marketing databases) via SAS, SQL, etc.

- Master and perform all steps required to create analysis-ready data sets; including data integration/merging, variable preparation, and quality control (QA/QC)

- Develop and execute SAS/SQL programs with minimal direction and supervision

- Provide problem solving and data analysis, derived from programming experience

- Demonstrate proficiency with desktop and UNIX toolsets (SAS, SQL, and MS Office) to create pivot tables and/or report content such as tables, reports, graphs, etc.

- Document and articulate steps taken in an analysis to project managers

- Answer questions about data sets and analyses

- Follow all policies and procedures for programming, and project documentation

- Participate in the design, planning & execution of projects

- Effectively manage time and resources in order to deliver on time/correctly on a limited number (1-4) of concurrent projects

- Proactively communicate with supervisor regarding workload and the status of assignments

- Prepare basic report content (Word, Excel, PowerPoint) in support of deliverables

MINIMUM QUALIFICATIONS :

- Bachelor degree in quantitative discipline (e.g. Statistics, Mathematics, Economics, Engineering)

- 2+ years working experience in Marketing Analytics field

- Demonstrated proficiency in SAS and SQL programming; minimum 2 years of experience

- Strong analytic thought process and ability to interpret findings

- Working knowledge of MS Office; including PowerPoint, Word, Excel and Outlook

- Excellent verbal and written communication skills

- Highly motivated and collaborative team player with strong interpersonal skills

DESIRABLE QUALIFICATIONS :

- Advanced degree (Master- s/PhD) in Statistics, Economics or other quantitative discipline

- Working experience/knowledge in credit card, retail, marketing, loyalty, and/or financial services

- Ability to program in newer and emerging languages such as R and Python; working knowledge of Hadoop and other big data technologies