Supervisor – Market Mix Modeling
| Company | Crossmedia |
|---|---|
| Location | New York, NY, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s |
| Experience Level | Mid Level, Senior |
Requirements
- An MA or BA in a quantitative field (mathematics, statistics, business analytics) and 3+ years’ experience in media analytics and business intelligence, with a focus on Marketing Mix Modeling and marketing measurement strategy.
- Highly skilled in marketing mix modeling (design, interpretation, strategic application) with experience across other forms of media measurement (MTA, brand lift, attention measurement)
- Experience crafting tailored measurement + optimization frameworks and test + learn agendas across multiple verticals and media types
- Strong understanding of media channels (traditional, digital, retail, and commerce media) and how they drive business results.
- Experience with statistical modeling platforms/tools (e.g., Python, R, SQL) a plus, but storytelling and strategy skills are equally critical.
- Ability to synthesize complex technical outputs into clear, client-ready insights.
- Highly effective project/team manager: Has solid organizational skills including attention to detail and multitasking agility
- Reliable & responsible: can steward the analytics team day to day and help manage workflow. Manage across multiple projects, tools, clients, deadlines.
- Excellent collaborator & communicator. Comfortable presenting in front of larger audiences
- Strong listening skills: believes good thinking can come from anyone and any place; is a team player willing to compromise their point of view in support of others. This person has been part of a highly successful integrated cross-discipline team.
Responsibilities
- Partner closely with the Group Director to review project briefs, provide analytics insights on client strategic challenges, and help drive the development and execution of cross-channel measurement strategies.
- Roll up your sleeves to build and analyze marketing mix models (MMM), design analytics frameworks, create data visualizations, optimize media investment, and translate complex data into actionable insights.
- Work with clients and act as a hands-on, strategic advisor, helping clients connect media performance to real business outcomes.
- Working across assigned accounts, providing guidance and direction on all measurement initiatives.
- Build strong relationships with client leads across media, analytics, and brand teams.
- Partner closely with Account Teams to fully understand client business needs, KPIs, and strategic priorities, ensuring alignment on goals and collaboration plans.
- Serve as an advisor to clients, helping them connect measurement outputs to broader business decisions.
- Advocate for measurement as a critical driver of business value, not just a reporting function.
- Support new business pitches and growth opportunities by developing measurement strategies, case studies, and solutions.
- Lead end-to-end delivery of MMM engagements, including study design, data strategy, model development, insight generation, and storytelling.
- Translate complex modeling outputs into clear, compelling business recommendations for clients and internal teams.
- Build, refine, and integrate MMM best practices into broader measurement frameworks (e.g., lift testing, brand tracking, attribution).
- Continuously innovate in modeling methodology, including attention metrics, blended KPIs, automation, and MMM integration with BI dashboards.
- Own partnerships with modeling vendors and/or lead internal model development efforts.
- Manage and mentor a team of analysts, fostering growth in technical, strategic, and storytelling skills.
- Train the team on best-in-class measurement, dashboarding, insights generation, and client presentations — leading by example.
- Actively double-check work and deliverables from the team, maintaining a high standard of quality and accuracy.
- Help organize, plan, and prioritize team work, monitoring timelines and hours spent; negotiate reasonable timelines with stakeholders.
- Encourage a culture of continuous learning across new tools, measurement techniques, visualization platforms, audience building, MMM, and MTA.
- Bring forward new ideas for improving processes, building the team, and evolving the way we work.
- Assist in leading the development of reporting and dashboarding platforms, helping the team navigate setup based on client needs — and be ready to dive in hands-on when needed.
Preferred Qualifications
- Experience with statistical modeling platforms/tools (e.g., Python, R, SQL) a plus, but storytelling and strategy skills are equally critical.