Participates in cross-functional teams of technical & business partners, including senior stakeholders, to identify business risks and create analytics and dashboards to monitor trends and detect outliers.

Leverage statistics to interpret trends and patterns in datasets to locate outliers, construct forecasts and recommend decisions.

Use technical experience and background to develop and leverage the long term analytical data solutions, relevant analytics and exception reporting.

Communicate results by developing dynamic and visual reporting that clearly communicates trends and statistically significant anomalies in the context of the business problem.Leverage strong business acumen, presentation and communication skills to create and present analysis in a relevant, consumable, meaningful, and insightful ways.

Apply critical thinking to resolve data issues and combine data from multiple systems through tools such as SQL, SAS, and/or tableau.

Collaborate and strategize with other Business Intelligence professionals to share analysis, solutions, data structures and resources to minimize redundancies and improve efficiencies across the organization.

Bachelor’s degree in a quantitative discipline such as computer science, economics, operations research mathematics, statistics, or engineering. Advanced degree preferred.

2+ years’ experience in marketing analytics with proven track record in delivering meaningful insights to marketing organizations.

Experience using relational database systems (data warehouse) and optimizing SQL queries. Teradata or SQL Server (SSIS/SSAS/SSRS) database experience is required with strong skills in writing advanced SQL functions and procedures.

Knowledge of data modeling and data driven decision making is desired using statistical software (such as R, SAS, SPSS, Python is preferred).

Knowledge of business intelligence tools is required (such as Tableau, Cognos).

Experience designing, developing, implementing and maintaining a database and programs to manage data analysis efforts.

Experience using Excel as an advanced modeling tool and PowerPoint for effective presentations.

Awareness and desire to work with complex data analytics, data products, and Big Data technologies.