Director, Insights & Analytics, Team IBM

YOUR IMPACT:

• Advise clients and internal investment teams on all aspects of data measurement, data capture, and research as it pertains to paid media activity
• Responsible for digital/direct research, analysis, and insight generation
• Advance the understanding of online and direct marketing dynamics through developing critical business insights to increase their ROI on media investments
• Lead the building, execution, and advancement of proprietary models that identify linkages between all conversions and all performance drivers
• Guide building and utilization of forecasting models to help set and track campaign performance goals
• Lead standardization of testing framework and building tools to assess sample size requirements and checking statistical validity of A/B testing
• Data visualization and advanced reporting: lead the way in moving away from Excel-centric reporting by contributing to the design and implementation of interactive, web-based reporting built with best-in-class data visualization software
• Work closely with clients and business teams to assess business and marketing challenges, discuss possible solutions, and execute a plan
• Serve as a sounding board/expert on media strategy and placement issues. including media testing, media mix, target audience profiling, consumer insights, competitive understanding, and budget allocation, including integration of online and offline media
• Provide thought leadership and tool development to elevate digital and direct media planning capabilities
• Spearhead new analytical initiatives to drive actionable insights for our clients
• Manage and guide the team overseeing operation of campaign analysis & reporting and analytical capabilities for process efficiencies
• Lead a team of 5-8 individuals consisting of Managers, Sr. Analysts and Analysts.

YOUR QUALIFICATIONS:

• Bachelor’s in economics, statistics, engineering, or related quantitative discipline, plus seven (7) years in digital and direct marketing analytics or related.
• Alternatively, a Master’s in economics, statistics, engineering, or related quantitative discipline, plus 5 years in digital and direct marketing analytics or related.
• Of the total years, must have: 5 years with:
  • Statistical concepts and methods
  • Data manipulation and modeling tools (SAS, SAS Enterprise Miner, SQL)
  • Microsoft Excel skills: sorting data, pivot tables, or advanced functions
  • Working with large data sets to extract and transform data in order to gather insights to drive business results
  • Various modeling techniques (logistic regression, cluster analysis, and decision trees)
  • Presenting insights and analytical findings to technical and non-technical audiences
  • Distilling complex research concepts/techniques into simple, relevant meaning for internal and external stakeholders
  • A/B test designing, implementation, and read; and Statistical concepts behind sample size estimation, homogeneity testing and statistical variance assessment.

• Must have 4 years with:
  • Managing a team with advanced analytical and statistical skillset (with at least an undergraduate degree)
  • Quantitative leadership role advising business decisions
  • Leadership representation in cross functional discussions
  • Presenting insights and ideas to senior/executive leadership
  • Providing thought leadership and setting growth agenda for the team.
  • Must have 3 years with:

• Analytical support towards pursuing new clients/business opportunities
• Working with data visualization / dashboard tools (Tableau or Power BI)
• Web analytics tools (Google Analytics)
• Ad-serving platforms, such as Sizmek, DCM, and targeting solutions (behavioral and contextual targeting, re-targeting, response optimization)
• Demand side platform (DSP) and data management platform (DMP): Mediamath, Tradedesk.