Senior Data Analyst

The Analytic Consulting Group partners with 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 helps support all aspects of analytic initiatives from conception to completion.

Responsibilities:

• Provide SAS/SQL programming, under general 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 and external 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
• Assist in development of reports, providing content and writing of key observations
• Participate in presentation of reports to key internal and external stakeholders, effectively communicating the key findings and recommendations
• Manage multiple projects concurrently
• Prioritize and monitor project progress relative to timeline and scope

Minimum Qualifications:

• Bachelor or Master’s degree in a quantitative discipline (statistics, economics, mathematics, marketing analytics)
• Minimum 2 years of  experience  in marketing analytics field
• Proficient in SAS/SQL; minimum 3 years’ experience
• Proficient in MS Office, including PowerPoint, Word, Excel and Outlook
• Solid planning, priority setting, and project management skills with experience managing multiple projects concurrently
• Excellent verbal and written communication skills
• Successful developing relationships within and across functional teams (including statistical, technical, and marketing resources)
• Strong technical skills

Desirable Qualifications: 

• Advanced degree (Master’s/PhD) in Statistics, Economics or other quantitative discipline
• Ability to display data visually, creating powerful presentations which effectively demonstrate the value of analytic deliverables; proficiency with business visualization tools (e.g., interactive dashboard software)
• Ability to program in newer and emerging languages such as R and Python; working knowledge of Hadoop and other big data technologies