Data Analysis Specialist

Overview

The primary responsibility is to provide analytics-based strategic insights and directions to aid in the development of media and communications initiatives.

This position requires both strategic and tactical skill sets with an eye for numbers, intellectual curiosity, proficiency at problem solving, and a critical understanding of offline and online media. The candidate must have a proven track record in data-rich analyses and be a team player. A ‘roll up the sleeves’ approach is mandatory and a ‘get it done’ attitude is a must. Specific responsibilities include coordination between the research, analytics, and media teams to ensure high quality analytical projects are effectively delivered.

Successful candidates will be multi-dimensional rising stars who are able to employ complex problem-solving skills, and are able to communicate these succinctly to a broad client and media stakeholder audience.

Role Objectives:

• Design and execute analytical plans to improve the effectiveness of communications programs
• Perform hands-on analysis in support of results, including development of conclusions and implications
• Supervise and mentor Analysts
• Teach Analysts to perform ongoing analysis to ensure the timely adjustment/optimization of campaigns
• Develop and maintain SQL-based or other structured reporting system
• Understand dashboards and provide recommendations based on MMM findings or other statistical testing to media planning/buying decisioning
• Partner with cross-functional stakeholders on a daily basis to plan, execute, and analyze projects
• Support agency new-business process as required

Minimum Qualifications:

• 7-9 years of experience in performing analytics in marketing sciences capacity at a media agency, market research, or consulting company, or in-house at a brand.
• Working knowledge of databases and SQL a plus
• Knowledge of media and website measurement technologies:
  • Ad serving platforms
  • Website analytics software
  • Data visualization skills desirable (e.g. Tableau, Datorama, PowerBI, etc.)
• Quantitative education or experience preferred (Statistics, Social Sciences, Economics, Quantitative Marketing).
• Strong analytical skills - able to analyze raw data, draw conclusions, and develop actionable recommendations
• Experience analyzing large data sets
• Strong presentation skills
• Proven ability to communicate complex, technical concepts to broad based stakeholder audience