Director, Advanced Analytics

CookUnity

2d•$240,000 - $270,000

About The Position

CookUnity is a chef-focused food marketplace founded in 2018. The company delivers chef-crafted, ready-to-eat meals and is expanding beyond delivery with a mission to empower chefs to nourish the world. The Director, Advanced Analytics will lead CookUnity’s Advanced Analytics function, helping the business understand performance, identify opportunities, and make better decisions across product performance, retention, and growth. This leader will partner with Product, Finance, Operations, and senior leadership to turn complex business questions into rigorous analyses and actionable recommendations. The role will explain performance drivers, measure initiative impact, and guide product priorities and business investments. This is a hands-on, player-coach leadership role. The Director will tackle complex analytical problems, develop the team, provide technical direction, and raise the quality and impact of its work. The role will also shape the team’s structure, priorities, and ways of working as the business evolves. Its focus is advanced analytics, experimentation, and measurement, in partnership with separate Data Science/ML and Engineering teams responsible for deploying models into products and systems. Success at six months includes establishing clear ownership and priorities for Advanced Analytics, assessing team capabilities and recommending an optimal structure, and strengthening standards for analytical quality, experimentation, and measurement. At 12 months, success includes sustained improvements in analytical rigor, team capabilities, and business impact; developing talent through coaching and clear performance expectations; and delivering insights that inform product decisions and drive measurable retention and growth outcomes.

Requirements

10+ years of experience in advanced analytics and advanced statistical analysis.
At least 5 years of experience in leadership roles.
Applied experience in product and growth experimentation, causal inference, and customer retention analysis.
Practical understanding of marketing measurement approaches, including MMM, MTA, and incrementality testing.
Strong hands-on analytical capabilities, including independently investigating complex business problems and guiding others through them.
Proven experience partnering with Product teams and translating analytical insights into product decisions and measurable business outcomes.
People leadership experience, including developing talent, providing technical guidance, and improving team performance.
Strong strategic judgment and business understanding, with the ability to identify the right questions and prioritize work based on potential impact.
Ability to communicate complex findings, methodological limitations, and recommendations clearly to senior stakeholders.
A player-coach approach combining technical depth, strategic thinking, and people leadership.
High autonomy, intellectual curiosity, and a proactive approach to solving problems in an evolving environment.

Nice To Haves

Experience in consumer-facing businesses, ideally with exposure to retention and growth analytics.
Experience scaling Analytics teams and strengthening their capabilities, structure, or ways of working.

Responsibilities

Set the direction for Advanced Analytics and build a proactive analytical agenda aligned with CookUnity’s priorities.
Establish clear ownership, prioritize high-impact analytical questions, and balance immediate business needs with longer-term capability building.
Bring an independent analytical perspective to leadership discussions, communicate recommendations clearly, and evaluate the business outcomes of resulting decisions.
Use experimentation and causal inference to measure the impact of product, operational, and pricing decisions on conversion, ordering, retention, and profitability.
Apply quasi-experimental methods when randomized tests are not feasible, and communicate assumptions and uncertainty.
Partner with Growth and Product to design, prioritize, and evaluate experiments across acquisition, activation, offers, and lifecycle engagement; connect short-term conversion gains to longer-term retention and customer value.
Lead hands-on analytical work on complex problems, challenge assumptions, guide methodological choices, and provide technical direction from problem framing through communication.
Investigate churn and retention drivers—including customer mix, pricing, promotions, meal quality, menu availability, and delivery experience—and identify prioritized opportunities to improve retention and lifetime value.
Translate customer behavior and product performance insights into recommendations for roadmaps, investments, customer experience, and product priorities; partner with the Head of Product.
Help Marketing interpret marketing mix modeling (MMM), multi-touch attribution (MTA), and incrementality testing results to support channel mix, budget, and acquisition decisions.
Coach Data Analysts, provide actionable feedback, set expectations for analytical rigor, business understanding, and delivery quality, identify capability gaps, and elevate team performance.
Assess team capabilities and recommend an optimal team structure; strengthen standards for analytical quality, experimentation, and measurement.