Data Analytics Manager

Building a powerful user experience is what sets Roofr apart from all other roofing platforms. As an Engineer in an early stage and high growth company, you’ll play a critical role in turning raw data into insights that shape product decisions, drive strategy, and improve the customer experience. You’ll have a direct impact on how we use data to grow, and help influence the roadmap for how analytics evolves at Roofr.

We’re looking for a hands on Data Analytics Manager to lead and scale our growing data function across data engineering, analytics, and data science. This is a hands-on leadership role for someone excited to define and execute a modern data strategy in a high-growth environment.

You will manage a small but high-impact team and own the full data lifecycle, from ELT pipelines and data modeling in DBT, to dashboarding, experimentation, and predictive modeling. You’ll work cross-functionally with Product, Engineering, Marketing, and Operations to ensure the business is empowered with clean, trustworthy, and actionable data.

What You’ll Do

• Lead, mentor, and grow a small, multidisciplinary data team (data engineers, analysts, data scientists).
• Define, refine and implement best practices for data modeling, transformation (DBT), orchestration (Airflow), and testing.
• Own the data stack and architecture (e.g., Snowflake, DBT, Metabase/Sigma, Stitch).
• Collaborate with stakeholders to define KPIs, build dashboards, and provide strategic insights.
• Drive data governance, quality, documentation, and metric standardization.
• Guide the development of data products and experimentation frameworks (A/B testing, churn prediction, etc.).
• Partner with leadership to align data strategy with business objectives.
• Stay up to date on modern data tooling and recommend improvements to scale infrastructure and processes.

What You’ll Bring

• 5+ years of experience in data roles, with at least 1–2 years managing a technical team.
• Strong technical skills in SQL, DBT, and orchestration tools like Airflow.
• Experience with modern data stacks (e.g., Snowflake, Redshift, BigQuery) and ELT tools (Stitch, Fivetran, Airbyte).
• Proficiency in data visualization and BI tools (Metabase, Sigma, Looker, or similar).
• Familiarity with Python or R for scripting and data science workflows.
• Solid understanding of experimentation, forecasting, and statistical analysis.
• Proven ability to drive cross-functional alignment and communicate clearly with technical and non-technical stakeholders.
• Passionate about building clean, scalable data infrastructure and enabling data-driven decisions.

Bonus Points

• Experience in a startup or high-growth environment
• Exposure to customer or product analytics
• Experience designing data team org structures and hiring
• Knowledge of dbt Cloud and CI/CD for analytics engineering

Who You Are

• Curious: You ask “why” often and dig deep to find the real story behind the data.
• Wise: You balance speed and scale, knowing when “good enough” beats perfect.
• Technical: You’re comfortable rolling up your sleeves, writing/reviewing a DBT model or debugging a DAG.
• Collaborative: You work well across teams and translate data into action.