Manager, Analytics

Responsibilities

• Use data to tell great stories, solve problems, and maintain relationships with a variety of internal and external stakeholders.
• Are proactive in prescriptively implementing process improvements
• Represent Zenith Data and Analytics to external clients by functioning as reliable and communicative media performance experts
• Work closely with their team of analysts to help them stay on track with day-to-day client deliverables
• Contribute crucial intellectual capital by designing measurement plans based on their client’s business needs, and identifying creative solutions to solve problems
• Work closely with their Associate Directors to formulate a vision for their accounts, and then execute on that vision with their Analysts and Senior Analysts. As such, Managers are mentors, managers, project managers, and thought leaders, all at the same time.

Requirements

• Advanced Excel skills (ability to work with macros, advanced formulas, pivot tables) and experience working with large data sets
• Able to navigate a data warehouse environment (SQL is a must) and Redshift effectively.
• Experience with other programming languages is preferred but not required (Python, R, SAS)
• Working knowledge of any BI Visualization Tool (ex. Tableau, PowerBI, Spotfire, etc.)
• Experience with querying relational databases
• Ability to structure and manipulate large data sets to answer business questions
• Experience with digital media and analytics tools (Ad Servers, Measurement Vendors, BI Software)
• Understanding of a broad range of online advertising media channels such as Search, Display Banners, Email, Contextual, and Social, as well as subject matter expertise in at least one of these areas
• Use statistical analyses to determine digital performance relative to benchmarks, testing results, and audience insights
• Experience with using or analyzing data form DMPs and DSPs

Preferred

• Experience with third party research partners such as Dynata, GWI and Nielsen
• Experience on a CPG account
• Proficiency in cloud-based deployment environments (Jupyter, Google Collab, etc)
• Experience with ad verification tools such as IAS, Moat, etc
• Optional/Desirable: Experience with the following advanced analytics methods: A/B or Matched Market Testing, linear regression, cluster analysis, neural nets, random forests, conjoint analysis

Benefits

• Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.