Note: The job is a remote job and is open to candidates in USA. SQUIRE is a business management system for barbers, shop owners, and their communities, serving more than 30,000 barbers across 5,000+ shops worldwide. The Director, Analytics & Insights will establish trusted data standards, lead analytical strategy and business intelligence, uncover drivers of business performance, guide AI-driven analytics, and develop the analytics function to support informed decision-making and scalable growth.
Responsibilities
- Proactively analyze business performance to identify what is changing and why across churn, retention, conversion, unit economics, funnel performance, product adoption, product telemetry, and marketing analytics
- Translate complex data into clear insights and recommendations for the leaders and teams positioned to act on them
- Define and lead the multi-year strategy for SQUIRE’s analytical data, including how it is modeled, structured, and governed to support accurate analysis for scalable business growth and future AI capabilities
- Partner closely with Data Engineering (which is responsible for the underlying data platform and infrastructure) to develop scalable and reliable analytical models
- Set the strategy for AI-driven analytics, keep our data clean and AI-ready to power both the AI we build into our product and the AI we use to scale the team, from automating first-pass reporting to building on the AI data assistant already in place
- Lead Looker as SQUIRE's primary business intelligence platform, including dashboard strategy, reporting improvements, platform cleanup, and self-service reporting
- Establish the metric definitions, quality standards, and governance practices needed to maintain trust in the company's data as the business grows in scale and complexity
- Lead the company's OKR process and performance readouts, including the cadence, measurement, and reporting used to create visibility and accountability
- Lead and grow the analytics function by hiring and developing a team known for quality and reliability across analytics engineering, business intelligence, and analysis
Skills
- 10+ years of experience in an analytics or data function, including 4+ years of people management, with a track record of setting strategy, building analytical data models, and developing teams beyond day-to-day reporting
- Demonstrated experience translating data into insights that influence leadership decisions and measurable business outcomes
- Experience building analytical models, systems, and practices that create lasting organizational value beyond individual dashboards
- Technical fluency across SQL, data modeling, statistics fundamentals, dbt or similar transformation tools, and Looker
- Technical judgment and hands-on experience to guide how analytical data is structured and maintain consistent definitions across the business
- Thoughtful and clear perspective on AI in analytics, including where it can add meaningful value and where human judgment remains essential
- Genuine curiosity about the business, with the ability to move from understanding why something happened to identifying why it matters and what should happen next
- Strong leadership and communication skills, with the ability to develop a team and translate complex analytical concepts for executive audiences
- Experience within a multi-product, marketplace with direct and secondary customers, or SaaS business during a period of scaling or expansion into new verticals, particularly in Salesforce- and Snowflake-based environments
- Experience partnering closely with a Data Engineering function on data platforms and infrastructure without having directly led the infrastructure function
Benefits
- Bonus (15%)
- New hire stock grant
- 100% employer-paid medical/dental/vision insurance for you and your dependents
- 401K plan with company contribution
- Generous PTO and Parental Leave policies
Company Overview
Company H1B Sponsorship