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About the Role
This role turns operating and customer data into clear, decision-ready recommendations for the business, working directly with various departments and focusing initially on customer behavior, retention, and product measurement.
Responsibilities
- Own analyses of customer behavior, retention, conversion, and funnel performance across channels and customer journeys, identifying drivers and recommending actions.
- Partner with Product on behavioral measurement and Marketing on lifecycle decisions; support Supply Chain and Finance partners.
- Translate ambiguous business questions into clear analytical approaches, validate results, and present recommendations.
- Write SQL to explore, validate, and analyze data in Snowflake.
- Create reliable dashboards, reports, and reusable analytical tools in Looker and Hex.
- Partner on measurement plans and test readouts with Product and business teams, defining metrics and interpretation.
- Use AI tools to accelerate data exploration, SQL development, and insight generation.
- Investigate data issues, reconcile results across sources, and communicate data limitations.
- 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.
- Build direct relationships with DTC, Marketing, Product, Supply Chain, and Finance partners.
- Understand the decision behind each request, share progress early, and keep work focused on the decision.
- Communicate results clearly to both technical and non-technical audiences.
Requirements
- 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.
- Consulting or customer insights experience is a plus.
- Familiarity with marketing measurement, incrementality, MTA, or MMM is a plus.
Skills
- Strong analytical judgment and curiosity.
- Advanced SQL skills.
- Experience using Python for analysis.
- Disciplined approach to query design, validation, and documentation.
- Clear written and verbal communication.
- Ownership and initiative.
- Strong organization and prioritization.
- Comfort working with a range of stakeholders.
Location
- Remote
- Pacific Coast time
- San Francisco (future travel)
Work Type
- Full-time
- Remote
Experience Level
- Senior Analyst
- 4+ years of experience
Education Level
- Degree in a quantitative field or equivalent experience
Salary/Compensations
- $130k - $140k
About the Company
- Madison Reed is disrupting a $50 billion industry with its omnichannel professional hair color offering, available online, in-store at Hair Color Bars, or via subscription.
- The company lives its values: Love, Joy, Courage, Responsibility, and Trust, fostering a culture of transparency, accountability, and fun.
- Madison Reed is committed to diversity and inclusion, ensuring every team member feels supported to succeed.
- The company is dedicated to the ultimate client experience, product innovation, and the latest beauty technology.
Equal Opportunity
- Madison Reed is an equal opportunity employer committed to recruiting, training, compensating, and promoting employees regardless of race, color, religion, sex, disability, national origin, age, sexual orientation, gender, or any other protected class.
- The company is dedicated to reflecting the diversity, multiculturalism, and inclusion found in the communities it serves.