Senior Data Analyst

Job Description
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 Sr. Data Analyst helps support all aspects of analytic initiatives from conception to completion.
Use SAS, SQL, Excel, and other tools to conduct analysis of a client’s relationship marketing programs
In collaboration with other team members, design and execute ad hoc analyses to answer questions about program performance
Produce dashboards in Excel or Tableau to provide routine reporting to clients and internal stakeholders
Collaborate with internal and external stakeholders to manage data logistics - including data transfers, understanding data structures, business rules, etc.
- to enable project execution
Contribute to client-facing deliverables presenting and explaining the results of analyses, and providing appropriate strategic and tactical recommendations
Appropriately account for the timeliness and quality of all assignments
QA/QC data and report outputs to ensure accuracy
Manage multiple projects concurrently
Minimum Qualifications:
Minimum 2 years of experience
Proficient in SAS, SQL, and Excel
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)
Highly motivated and collaborative
Acute attention to detail (QA/QC)
Effective organization and time management skills
Desirable Qualifications:
Experience in marketing analytics for individually targeted marketing programs(CRM and/or acquisition)
Advanced degree in Statistics, Economics or other quantitative discipline
Experience in automotive marketing, especially Tier 2/3 aftersales/service
Experience in producing reports/dashboards in Tableau or other tools
Experience with additional data/statistical tools:
Python, R, etc.