Director, Advanced Analytics

Description

The company was founded in 2018 as a platform that connects customers with chefs. It delivers 50 million meals a year to homes across the country.

The company is moving beyond delivery and building an marketplace that keeps evolving.

The role leads the Advanced Analytics function as the business grows.

Within 6 months: set clear ownership and priorities for advanced analytics across the organization, assess the team and recommend a structure, and raise standards for analytical quality, experimentation and measurement.

Within 12 months: show sustained gains in rigor, team capability and business impact, raise the talent bar through coaching and clear performance expectations, and deliver insights that shape product decisions and move retention and growth.

Responsibilities

• Lead the Advanced Analytics function, helping the business understand performance, spot opportunities and decide better across product, retention and growth.
• Work closely with Product, Finance, Operations and senior leadership to turn hard business questions into rigorous analysis and recommendations that explain performance, measure initiative impact and guide product and investment priorities.
• Stay hands-on: take on complex analytical problems yourself while developing the team, giving technical direction and raising the quality of its work.
• Help shape the team's structure, priorities and ways of working as the business changes.
• Focus on advanced analytics, experimentation and measurement, working alongside the separate Data Science/ML and Engineering teams that deploy models into products and systems.
• Set the analytical agenda to match company priorities: choose high-impact questions, assign clear ownership, and balance urgent needs against long-term capability building.
• Bring an independent view to leadership discussions, communicate recommendations clearly, and track how decisions affect outcomes, driving key business and product decisions with advanced analytics.
• Measure product, operational and pricing changes with experimentation and causal inference, covering effects on conversion, ordering, retention and profitability. Use quasi-experimental methods when randomized tests are not feasible, and state assumptions and uncertainty plainly.
• Partner with Growth and Product to design, rank and evaluate tests across acquisition, activation, offers and lifecycle engagement, linking short-term conversion gains to longer-term retention and customer value.
• Explain churn and retention by studying how customer mix, pricing, promotions, meal quality, menu availability and delivery experience affect weekly orders, skips, pauses and cancellations, then turn findings into ranked opportunities for retention and lifetime value.
• Shape product priorities by turning customer behavior and performance insights into recommendations for roadmaps, investments and the customer experience. Act as the core partner to the Head of Product.
• Improve marketing measurement using MMM, MTA and incrementality testing. Help Marketing resolve conflicting signals and make better calls on channel mix, budgets and customer acquisition.
• Coach Data Analysts with actionable feedback, set expectations for rigor, business understanding and delivery quality, and close capability gaps.

Requirements

• 10+ years in advanced analytics and advanced statistical analysis, including at least 5 years in leadership roles.
• Solid applied experience in product and growth experimentation, causal inference and customer retention analysis, plus a working grasp of MMM, MTA and incrementality testing.
• Strong hands-on analysis skills, including investigating complex business problems on your own and guiding others through them.
• Track record of working with Product teams and turning analysis into product decisions and measurable results.
• Experience leading people: developing talent, giving technical guidance and lifting team performance.
• Sound strategic judgment and business sense, with the ability to find the right questions and rank work by likely impact.
• Able to explain complex findings, methodological limits and recommendations clearly to senior stakeholders.
• A player-coach approach that balances technical depth, strategic thinking and people leadership.
• High autonomy, intellectual curiosity and a proactive approach to problems in an evolving environment.
• Preferred: experience in consumer-facing businesses, ideally with exposure to retention and growth analytics.
• Preferred: experience scaling analytics teams and strengthening their capabilities, structure or ways of working.

Conditions

Final pay depends on the candidate's experience, knowledge, skills and abilities, internal equity and market data.

Pay range: $240,000 - $270,000 USD.

Benefits

• Health insurance coverage.
• 401k plan.
• Stock options granted on Day 1.
• Bi-annual performance bonus.
• Unlimited PTO.
• A 4-week paid sabbatical after 5 years with the company.
• Paid family leave.
• Compassionate leave of 3-5 days each time it is needed.
• Monthly meal credits added to your account.
• Fitness subsidies as part of wellness perks.
• Enterprise access to ChatGPT and Claude.
• A personalized Spanish coach.