The Director, Data & Analytics will own advanced analytics and insights for Madison Reed. This leader turns the company’s open questions about customer behavior into models and analyses that change what the business does next.
You will lead the analytics practice on a centralized data team that serves every part of the business: DTC, Hair Color Bar, Amazon and wholesale, plus the marketing and product analytics that support them. You own the measurement that guides where we spend, how we keep our members, and what we build. The ideal candidate is a hands-on analytics leader who can define the right measurement approach, defend a model, and then sit with a channel GM and explain in plain language what the result means for their plan.
This role reports to the Sr. Director, Business Analytics, is full time and remote. While remote, this position will need to be comfortable working in Pacific Coast time, and there may be future travel to HQ in San Francisco required.
The base salary range for this position is between 190,000 and 210,000. At Madison Reed, we aim to pay competitively; factors which may affect starting pay within this range may include geographic location, skills, education, experience, and other qualifications of the successful candidate.
Responsibilities:
- Advanced Analytics & Insights:
- Strategic Insights: Own rigorous end-to-end analytics projects, moving from data exploration to business implementation and measurable ROI.
- Predictive Modeling: Apply data science and machine learning to customer LTV, churn and retention prediction, customer segmentation, and omnichannel impact.
- Marketing Measurement: Own channel performance, multi-touch attribution and marketing mix modeling, incrementality testing, and the analysis behind paid and organic spend decisions.
- Cross-Functional Partnership:
- Business Embedding: Partner with our channel GMs, Digital Product, Engineering, Marketing, Finance and Retail to embed data-informed decision-making into their core roadmaps.
- Direct Exposure: Place your analysts directly in business meetings so they own the relationship with their partners rather than working from a request queue.
- Product & Behavioral Analytics:
- Behavioral Analytics: Own our product analytics platform (Amplitude), including event taxonomy, funnel analysis, and the behavioral segmentation that feeds personalization work.
- Experimentation & Measurement: Partner with Product and business teams to define success metrics, advise on statistical rigor, and own the analysis and readouts that turn test results into decisions.
- Retention & Lifecycle: Partner with e-commerce and lifecycle marketing on cohort retention, subscription health, and the levers that move repeat purchase.
- Modeling & Semantic Layer:
- Hands-On Modeling: Build in dbt and Looker as needed. Author and review dbt models and LookML so the metrics behind your analysis are governed, tested and reusable rather than living in one-off queries.
- Self-Service Enablement: Translate recurring business questions into governed metrics and self-service dashboards in Looker and Hex.
- Architecture Standard: Work within our standard, where transformation logic lives in dbt and Looker stays a thin semantic layer.
- Team Development & Culture:
- Lead and Mentor: Lead and mentor a team of analytics engineers, fostering a culture of curiosity and accountability.
- Set the Bar: Set the analytical standard for the team: how you validate a result, when a caveat belongs in the summary, and when a number is not ready to present.
Key Skills:
- Proven ability to lead a team to translate business questions into verifiable hypotheses, define analyses that test them, and generate actionable insights based on the findings.
- Strong business and operational acumen to recognize patterns, connections and relationships across variables. Make the connections across data sets to help others understand the broader picture.
- Track record of earning a standing seat with business partners, so analytics is in the room when the decision gets made rather than working from a request queue.
- Ability to bring data to life and inspire action with clarity and simplicity; experience successfully communicating with senior or C-level executives in a clear and concise way.
- High affinity and intellectual curiosity in the fast evolving world of AI, with a habit of adopting Claude and similar tools to improve efficiency and go deeper on insight.
- Deep analytical abilities and experience improving performance in key operating metrics, specifically but not limited to acquisition, retention and monetization insights, customer segmentation, and pricing.
- Comfortable holding a position under executive questioning, and direct about what the data does not support.
- Self-motivated and proactive, taking initiative, going beyond the call of duty, and taking accountability for the business’s performance.
- High degree of initiative, integrity and curiosity for understanding patterns and behaviors through the use of data.
- Experience working in a matrixed organization across executive management, business leads, developers, and marketing teams to successfully meet deadlines in a fast-paced, rapidly changing environment.
- Proven ability to remain calm and composed under uncertainty.
Qualifications:
- Degree in Quantitative field or commensurate experience (Statistics, Applied Mathematics, Applied Analytics, Operations Research, Econometrics, Computer Science, Applied Science).
- 8+ years’ experience in analytics and insights, with 3+ years leading and mentoring analysts.
- Experience in multi-channel consumer business, ideally with a subscription or membership model.
- Hands-on experience with statistical and machine learning techniques (regression, classification, clustering, churn and survival models) and the judgment to know when a simpler approach is better.
- Advanced SQL, plus Python or R for analysis and modeling.
- Hands-on dbt experience. You author and review models yourself rather than only querying their output.
- Experience owning a BI environment at scale, ideally Looker, including writing and reviewing LookML yourself, plus a notebook environment such as Hex.
- Product analytics experience on a dedicated platform (Amplitude, Heap or similar), and a track record supporting experiment analysis and decision-making.
- Expertise in ecommerce marketing analytics: SEM, SEO, Remarketing, Social, event-triggered push campaigns, site personalization. Experience with multi-touch attribution (MTA) and marketing mix modeling (MMM) solution implementation, usage, socialization and activation.
- Understanding of A/B testing as well as knowledge of how to identify the key metrics that measure and drive long-term health of the business.
- Consulting or customer insights experience a plus.
We are Madison Reed.
We’re disrupting a $50 billion industry.
Since 2013, we’ve offered our clients the option to truly own their beauty with a revolutionary choice—your place or ours? Home or Hair Color Bar? Our professional hair color is truly omnichannel, with the option to order or subscribe through our website, pick up in-store at our Hair Color Bars, or make an appointment at one of our Hair Color Bar locations (over 20 & growing). At our Hair Color Bars, clients can choose from a variety of color services from licensed cosmetologists—permanent hair color, roots only, hair gloss, highlights and more. With our men’s line launched in 2020, we’re shaking up the $50 billion hair care industry with products that continue to raise the bar for doing hair at home.
We live our values.
Here at our San Francisco headquarters and in every Hair Color Bar, we truly live our values—Love, Joy, Courage, Responsibility, and Trust. Our values inform everything we do, from how we treat our clients to how we treat every member of our fast-growing team. Our founder & CEO, Amy Errett, has fostered a one-of-a-kind culture based on transparency, accountability, and fun; where diversity and inclusion are of utmost importance and every team member feels supported to succeed.
We are hair color that breaks the rules.
Our commitment to the ultimate client experience, paired with our dedication to product innovation and the latest beauty technology, has attracted a devoted, consistently-growing base of fans, converts, and color evangelists. We love what we do—and it shows.
Join us in our mission to live life colorfully and make personal care more personal.
Information for Recruiters: Madison Reed only accepts resumes directly from candidates. Madison Reed does not accept unsolicited resumes from staffing vendors, including recruitment agencies and/or search firms, and does not pay fees to any such vendors for any unsolicited resumes.
Madison Reed. is an equal opportunity employer. We are committed to recruiting, training, compensating and promoting our employees regardless of race, color, religion, sex, disability, national origin, age, sexual orientation, gender or any other protected classes as required by applicable law that might make us unique or different. As a company, we are dedicated to reflecting the diversity, multiculturalism, and inclusion found in the communities we serve. Inclusion is at the heart of what we do, from the way we craft our job descriptions, to the values we espouse daily.
Requires 8+ years in analytics and insights, 3+ years leading analysts, advanced SQL, Python or R, statistical and machine learning expertise, and hands-on dbt, Looker, LookML, Hex, and product analytics experience.
Key Responsibilities
- leading analytics
- building models
- mentoring analysts
Skills & Tools
Amplitude, dbt, Looker, LookML, Hex, SQL, Python, R, Claude
Job Details
- Category: Data and Analytics
- Seniority: Senior Level
- Commitment: Full Time
- Workplace: Remote — San Francisco, California, United States
- Salary: USD 190,000 – 210,000 / year
- Languages: English
About Madison Reed
An omnichannel hair color company offering professional products, subscriptions, and salon services. — Industry: Retail and Wholesale