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The Analytic Consulting Group partners with both internal and external clients, and data providers, leveraging predictive analytics and advanced statistical techniques to drive strategic thought and effective decision making. The Senior Data Analyst is responsible for conducting data analyses using SAS/SQL and other resources in support of a variety of analytic solutions.

What you will be doing:

• Provide SAS/SQL programming, with detailed direction, in the execution of data analysis that will contribute to the final project deliverables
• Appropriately account for the timeliness and quality of all assignments
• Collaborate with internal stakeholders to manage data logistics - including data transfers, understanding data structures, business rules, etc. - to enable project execution
• QA/QC data and report output to ensure accuracy
• Support the development of reports by providing requisite content 
• Participate in presentation of reports to key internal stakeholders, effectively communicating the steps taken to create the output
• Manage multiple projects concurrently
• Monitor project progress relative to timeline and scope.

Why are we looking for you:

• 5 - 8 years’ professional experience with data mining, segmentation, and/or predictive modeling using large, marketing databases
• Demonstrated proficiency in SAS/SQL programming; minimum 2 years
• Working knowledge of MS Office; including PowerPoint, Word, Excel and Outlook
• Strong analytic thought process and ability to interpret findings
• Ability to work on multiple assignments concurrently
• Excellent verbal and written communication skills
• Highly motivated and collaborative team player with strong interpersonal skills
• Acute attention to detail (QA/QC)
• Effective organization and time management skills
• Professional judgment

• Bachelor’s degree in a quantitative discipline (e.g., statistics, economics, mathematics, marketing analytics) or significant relevant coursework.

Desirable Qualifications: 

• Advanced degree (Master’s/PhD) in Statistics, Economics or other quantitative discipline
• Database marketing experience/knowledge
• Ability to program in newer and emerging languages such as R and Python; working knowledge of Hadoop and other big data technologies