Sr Analyst, Data Analytics

Summary

Madison Reed is a beauty and personal care company offering omnichannel professional hair color products and services. The Senior Analyst, Data & Analytics will turn customer, operating, product, marketing, and supply chain data into decision-ready recommendations, owning analytical work from initial questions through business recommendations. The role will develop analyses, dashboards, measurement plans, data-quality practices, and self-service analytics while partnering with cross-functional stakeholders.

Responsibilities

• 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
• 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
• 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
• 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

Skills

• Strong analytical judgment and curiosity
• Advanced SQL skills and experience using Python for analysis, and a disciplined approach to query design, validation, and documentation
• Clear written and verbal communication
• Ownership and initiative
• Strong organization and prioritization in a fast-moving environment with competing requests
• Comfort working with a range of stakeholders, from operating teams to senior leaders
• 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
• 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
• Python experience for analysis, automation, or data preparation
• Experience in ecommerce, consumer, retail, subscription, or service operations
• Consulting or customer insights experience
• Familiarity with marketing measurement, incrementality, MTA, or MMM

Qualifications

Must Haves

• Strong analytical judgment and curiosity
• Advanced SQL skills and experience using Python for analysis, and a disciplined approach to query design, validation, and documentation
• Clear written and verbal communication
• Ownership and initiative
• Strong organization and prioritization in a fast-moving environment with competing requests
• Comfort working with a range of stakeholders, from operating teams to senior leaders
• 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
• 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

Nice to Haves

• Python experience for analysis, automation, or data preparation
• Experience in ecommerce, consumer, retail, subscription, or service operations
• Consulting or customer insights experience
• Familiarity with marketing measurement, incrementality, MTA, or MMM

Benefits

• This position is full time and remote.