Role Description
The Senior Analyst, Data & Analytics is a core member of Madison Reed’s centralized Data & Analytics organization. This role turns operating and customer data into clear, decision-ready recommendations for the business.
You will work directly with DTC, Marketing, Product, Supply Chain, Finance, and analytics teammates. Your initial focus will be customer behavior, retention, and product measurement across Madison Reed’s customer journeys and channels, plus the analytics that support Supply Chain decisions. You will own analytical work from the first question through the recommendation.
This role reports to the Senior Manager, Data & 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 $130k and $140k. 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
• Customer, product, and supply chain analytics:
• Own analyses of customer behavior, retention, conversion, and funnel performance across channels and customer journeys.
• Identify the drivers behind performance and recommend actions partners can take.
• Partner with Product on behavioral measurement and with Marketing on lifecycle decisions.
• Support Supply Chain and Finance partners with decision support as priorities evolve.
• Translate ambiguous business questions into a clear analytical approach, validate the results, and present a recommendation with the relevant caveats.
• Measurement and analytical delivery:
• Write SQL to explore, validate, and analyze data in Snowflake.
• Create reliable dashboards, reports, and reusable analytical tools in Looker and Hex using the team’s governed models and metrics.
• Partner on measurement plans and test readouts with Product and business teams.
• Help define the metrics, checks, and interpretation that make results trustworthy.
• Use AI tools to accelerate data exploration, SQL development, and insight generation, validating their output before use in business decisions.
• Data quality and self-service:
• Investigate data issues, reconcile results across sources, and make data limitations clear before work reaches business partners.
• Help turn recurring questions into governed metrics and self-service reporting.
• Work with the Senior Manager and analytics engineering on changes to dbt models and LookML when needed.
• Document analytical logic and partner with analytics engineering on reusable models and semantic-layer improvements.
• Build AI-ready datasets with clear grain, documented business definitions, and quality checks, partnering with analytics engineering on appropriate access controls.
• Business partnership:
• Build direct relationships with DTC, Marketing, Product, Supply Chain, and Finance partners.
• Understand the decision behind each request, share progress early, and keep the work focused on the decision rather than the report.
• Communicate results clearly to both technical and non-technical audiences.
• Explain what the data supports, what it does not, and what should happen next.
Key Skills
• Strong analytical judgment and curiosity.
• Advanced SQL skills and experience using Python for analysis.
• Clear written and verbal communication.
• Ownership and initiative.
• Strong organization and prioritization in a fast-moving environment.
• Comfort working with a range of stakeholders, from operating teams to senior leaders.
Qualifications
• Degree in a quantitative field or equivalent experience in statistics, applied mathematics, analytics, operations research, econometrics, computer science, or applied science.
• 4+ years of experience in data analytics, business intelligence, or decision support.
• Advanced SQL with the ability to design and validate complex queries.
• Python experience for analysis, automation, or data preparation is preferred.
• Experience with modern analytics tooling, ideally Snowflake, dbt, Looker, and Hex.
• Experience creating dashboards, defining business metrics, and communicating analysis to stakeholders.
• Experience with product analytics, experimentation, retention, or lifecycle measurement.
• Experience in ecommerce, consumer, retail, subscription, or service operations is preferred.
• Familiarity with marketing measurement, incrementality, MTA, or MMM is a plus.
Company Description
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).
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.
Join us in our mission to live life colorfully and make personal care more personal.