Associate Director, Data Analytics & Business Intelligence

About the Role

Key Responsibilities

• Initiates and leads the team in developing long-term Measurement Roadmaps, bespoke to the client.
• Supervises creation and execution of campaign-specific measurement framework.
• Leverages strong knowledge of syndicated and proprietary research tools and systems to design and manage research projects; generates and delivers insights based on results.
• Leads advanced analytics requests involving log file data or other large datasets.
• Manages and grows internal and external client relationships to guide Analytics engagements, ensuring ideas and final deliverables align with client strategies.
• Partners with Media Planning and Digital Investment teams to evaluate vendors, technologies, and new advertising opportunities; analyzes measurement capabilities within each.
• Retains and nurtures talent by providing regular feedback and coaching to team members.
• Writes POVs on industry topics.
• Trains staff on syndicated and proprietary research tools and systems, managing day-to-day questions.
• Demonstrates mastery of syndicated research tools and systems (e.g., Nielsen, Comscore, MRI, Simmons, EZtab, etc.).

Requirements

• Bachelor's degree in Marketing, Advertising, Economics, Computer Science, Information Systems, Business Analytics, or related field; or equivalent professional work experience.
• Ample relevant working experience plus a track record of leading a team of Analysts and Managers.
• Familiarity with Marketing Mix Modeling (MMM).
• Ability to manage internal and external client relationships; ensuring deliverables are produced on time and within budget.
• Experience with data visualization tools such as Tableau.
• Experience with web analytics platforms like Google Analytics and Adobe Analytics.
• Experience with ad servers such as DoubleClick and Sizmek.
• Experience with syndicated measurement tools like comScore and Nielsen.
• Experience with ad effectiveness research tools like Millward Brown Digital.
• Familiarity with SQL, R, Python is a plus.

Nice to Have

• Familiarity with SQL, R, Python (considered a plus).

Qualifications

• Bachelor's degree or equivalent professional experience.

Benefits & Perks

• Competitive medical, group retirement plans, vision, and dental insurance.
• Significant paid time off.
• Preferential partner discounts.
• Employee mental health awareness days.
• Hybrid work approach with teams in the office around four days a week.