Associate Director, Analytics

January DigitalNew York, NY
$110,000 - $140,000Hybrid

About The Position

The Associate Director, Analytics is a client-facing analytics leader who brings a strong foundation in media measurement and the ability to translate complex analysis into clear, actionable business insights. This role is ideal for someone who has recent hands-on experience in media analytics and has grown into leading teams and guiding client strategy. While this role is not day-to-day executional, the Associate Director should be comfortable leaning in when needed to support their team, validate outputs, and ensure high-quality work. You will serve as a key partner to clients, helping them understand performance, navigate measurement approaches, and make confident marketing decisions grounded in data. We are looking for someone who has run analytics inside a retailer or retail-focused organization, speaks the language of the business, and knows how to apply rigorous measurement in fast-moving media environments.

Requirements

  • 7+ years of experience in media analytics or marketing analytics.
  • Experience recently operating in a hands-on analytics role, with a strong understanding of how analyses are built and executed.
  • Proven ability to lead teams and review analytical work, even if not executing every analysis directly.
  • Strong client-facing experience with the ability to simplify complex concepts and influence decisions.
  • Significant experience leading media analytics in a retail or retail-focused environment.
  • Deep knowledge of leading digital marketing platforms, including Google (Search & YouTube), Meta, Amazon / retail media networks, and CTV/video platforms.
  • Hands-on experience running MMM, incrementality tests, and causal analyses tied to media investment decisions.
  • Strong understanding of retail business dynamics and how analytics supports growth, efficiency, and profitability.
  • Working knowledge of regression, time-series analysis, Bayesian concepts, power analysis, confidence intervals, and bias—used to pressure-test and defend media measurement, not as academic theory.
  • Strong judgment around when directional insight is sufficient versus when higher precision is required.
  • Ability to balance rigor, speed, and cost to drive meaningful business impact from analytics.
  • Proven ability to operate confidently with senior executives and defend analytical recommendations under scrutiny.
  • Demonstrated people management experience, including hiring, developing, and performance-managing analysts and managers; provides clear feedback, sets expectations, and builds high-performing analytics teams.
  • Strong storytelling skills with a focus on decisions, next steps, and impact, not insight-only decks.

Nice To Haves

  • Proven AI skills in developing and refining AI inputs, effective use of key tools, and the ability to apply AI to real business challenges.
  • Sharp critical thinking and a commitment to using AI responsibly to create lasting impact.

Responsibilities

  • Serve as a primary analytics lead for clients, translating complex measurement into clear, actionable insights.
  • Confidently communicate performance, testing results, and measurement approaches in a way that resonates with non-technical stakeholders.
  • Build trust with client partners by balancing analytical rigor with practical, business-focused recommendations.
  • Lead and mentor a team of analysts and managers, providing guidance, feedback, and support on their work.
  • Review outputs to ensure accuracy, quality, and clarity before sharing with clients.
  • Create an environment where the team can execute effectively while maintaining strong analytical standards.
  • Step in on analyses when needed to support the team, troubleshoot issues, or validate outputs.
  • Maintain enough hands-on familiarity to provide credible guidance and direction.
  • Lead advanced media measurement across paid search, paid social, retail media networks, CTV, and upper-funnel channels.
  • Personally design, execute, and interpret MMM, incrementality tests (geo, holdout, synthetic control), and causal analyses tied directly to retail media decisions.
  • Ensure measurement approaches reflect how media actually drives revenue, profit, customer acquisition, and growth in a retail context.
  • Apply first-hand retail experience to frame analytics in terms of business impact, not just methodological rigor.
  • Translate ambiguous business questions into measurable media hypotheses aligned to merchandising, seasonality, promotions, and inventory dynamics.
  • Partner directly with CMOs, growth leaders, and finance stakeholders to support real budget and strategy decisions.
  • Reconcile conflicting signals across MMM, incrementality testing, and platform-reported performance.
  • Clearly articulate which measurement signal should drive which type of decision, depending on the business question and time horizon.
  • Maintain deep knowledge of leading digital marketing platforms, including Google (Search & YouTube), Meta, Amazon / retail media networks, and CTV/video platforms.
  • Understand how platform data limitations, attribution logic, and measurement constraints impact analysis design and interpretation.
  • Stay actively plugged into changes across media platforms, privacy shifts, and measurement innovation.
  • Remain plugging into the ever changing environment and consistently researching platforms.
  • Continuously evaluate how evolving platform dynamics should influence testing strategy, MMM design, and client recommendations.
  • Work closely with media, strategy, data engineering, and client teams to ensure analytics are integrated, trusted, and actionable across the organization.
  • Define and enforce standards for test design, model assumptions, validation, documentation, and analytical readouts.
  • Act as a final quality gate, ensuring weak, underpowered, or misleading analyses do not reach clients.
  • Lead and develop analysts through meaningful review of work—including code, models, test designs, and outputs.
  • Raise the overall technical and analytical quality of the team through hands-on coaching and feedback.

Benefits

  • Competitive and equitable pay
  • 401k matching
  • bi-annual bonus eligibility
  • Flexible PTO
  • Half-Day Fridays
  • Philanthropic Efforts and Paid Time Off to Volunteer
  • Fully covered medical, dental, and vision insurance
  • Annual Wellness Stipend
  • Suite of parental benefits, including generous paid leave, 529 scholarship fund, Milk Stork, and fully stocked mother’s room
  • Flexible work options that allow them to balance their professional and personal responsibilities
  • Hybrid work policy that allows employees to divide their time between working in the office and working remotely
  • Free health insurance
  • Company 401k contribution
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