Supervisor, Analytics

Mile Marker•New York, NY

12d•$85,000 - $105,000•Hybrid

About The Position

Mile Marker, an omni-channel media agency built for the ambitions of growth marketers, is seeking a Supervisor, Analytics to lead the daily delivery of analytics workstreams across clients and projects. This role bridges execution and leadership—guiding Analysts and Senior Analysts to deliver high-quality, actionable insights while ensuring data accuracy, consistency, and business impact. The Supervisor plays a key role in shaping measurement approaches, maintaining operational excellence, and translating analytical findings into meaningful recommendations for our clients. The ideal candidate combines hands-on analytics expertise with emerging management skills. You understand performance marketing and analytics at a deep level, can communicate findings clearly to clients, and take ownership of guiding both process and people toward continuous improvement. We’re looking for a motivated analytics professional who can manage client delivery, mentor junior analysts, and drive analytical rigor across reporting and measurement frameworks. As a Supervisor, you’ll balance executional work with day-to-day managerial responsibilities—leading data analysis, designing measurement frameworks, and ensuring QA discipline across multiple accounts. You’ll act as a trusted analytical partner to internal stakeholders, helping transform complex performance data into actionable client stories. This is a pivotal role developing your supervisory and people-management skills, preparing you to advance into Associate Director or Director responsibilities as you continue to build technical mastery and managerial confidence.

Requirements

5–8 years of analytics or media experience, ideally within an agency environment.
Proven ability to independently execute and validate Marketing Mix Models (MMM) and Forecasting workflows. Experience interpreting model outputs to drive budget allocation decisions.
Proficiency in visualization tools (Looker, Tableau, Looker Studio) and hands-on experience with GA4, GTM, DV360, Meta, and YouTube.
Ability to lead analysis connecting media performance to business KPIs, including ROI, ROAS, and CPA.
Regularly presents insights and recommendations directly to clients.
Builds trust through clarity, responsiveness, and analytical credibility.
Manages direct reports and leads cross-functional workflows.
Coaches Analysts and Senior Analysts to grow technical and professional skills.
Balances people development with project delivery and client satisfaction.
Demonstrates a growth mindset with an emphasis on mentorship, communication, and composure under pressure.
Strengthens client communication and leadership through consistent collaboration.
Translates optimization strategies into measurable business outcomes.
Connects performance metrics to client objectives and market dynamics.
MMM and Forecasting execution, learning agenda design, dashboard leadership, and structuring end-to-end client presentations.
Measurement planning, learning agenda design, dashboard leadership, QA governance, and storytelling through data.
High attention to detail, proactive mindset, and collaborative leadership style.

Responsibilities

Manage analytics deliverables across assigned clients, ensuring outputs are timely, accurate, and actionable.
Lead the Forecasting process, ensuring projections are accurate, statistically sound, and aligned with client budget cycles.
Ensure consistency across data pipelines, taxonomy, and naming conventions.
Serve as day-to-day analytics lead for assigned accounts, helping translate insights into optimization strategies.
Independently execute and validate MMM and Incrementality studies, interpreting model outputs to provide optimization recommendations.
Identify patterns, anomalies, and opportunities within campaign performance data.
Collaborate with cross-functional teams to align analytics insights with targeting and media strategies.
Supervise Analysts and Senior Analysts, reviewing their work for accuracy, clarity, and analytical depth.
Provide structured feedback, encourage problem-solving, and support their technical development.
Promote accountability, curiosity, and collaboration within the analytics function.
Present analytical insights to clients, helping frame data within a business context.
Partner with Client Solutions, Strategy, and Media teams to ensure analytics outputs drive strategic decisions.
Contribute to proposals and new business conversations by highlighting analytics value.
Maintain governance over QA, process documentation, and data hygiene.
Recommend and implement improvements to analytics workflow efficiency.
Contribute to internal initiatives that strengthen the agency’s analytics infrastructure.