Sr. Analyst, Statistical Modeling - Boston, MA

The Senior Analyst, Statistical Modeling will be responsible for leading quantitative model development, synthesizing insights from modeling, and providing optimization recommendations across several client engagements.

This role will also be exposed to consumer insights, brand equity analytics, market/audience segmentation, digital display advertising, search marketing, social media and site analytics.

Duties and Responsibilities

  • Work efficiently with clients and analytics partners to define, extract, and synthesize available data and share results and insight with team members
  • Glean actionable insights to support in-market campaign optimization
  • Perform statistical analysis of primary and syndicated research, media spend and allocation, and business performance data
  • Assist in developing predictive models to support proactive “what-if” analysis and guide marketing and advertising decision-making
  • Analyze scenarios to assess the before/after impacts of target market selection, media choice and allocation on client’s business performance
  • Collaborate and partner with other agency departments – Media, Brand Planning, PR/ Social Influence, Creative, and User Experience – in the pursuit of data-driven insights and strategies
  • Package and present analytical findings and communicate (both written and verbal) complex concepts to general marketing and business audiences

Desired Skills and Experience

  • 3-5 years of work experience in a professional services environment; consulting, advertising or internal client teams
  • 1-3 years of advanced statistical analysis in a marketing/advertising environment, including but not limited to cluster analysis, media mix modeling and optimization, predictive analytics, and experimental design
  • Master’s degree Statistics, Economics, Mathematics, Business, Marketing or other quantitative discipline
  • Familiarity with statistical modeling, direct/ digital marketing test designs, and audience segmentation
  • Must have advanced knowledge and application of data extraction and statistical software such as SAS, SPSS, SQL, Microsoft Excel, and/ or others
  • Ability to work with analysts in model development and application of statistical methods
  • Ability to articulate strategic marketing implications of performance results for business audiences with clarity and persuasiveness
  • Client presence and history of building relationships with client’s analytics and data management staff
  • Balances desire for quantitative rigor with realities of inconsistent business data