Data Analytics Manager

Position Overview

Roofr is seeking a hands-on Data Analytics Manager to lead and scale our growing data function, encompassing data engineering, analytics, and data science. This is a hands-on leadership role for an individual excited to define and execute a modern data strategy in a high-growth environment. You will manage a small, 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.

About Roofr

At Roofr, we’re obsessed with our customers. We constantly gather feedback to shape, prioritize, and launch the products they truly need. That’s what makes Roofr’s CRM special. We started by building essential sales tools like aerial roof measurements and digital sales proposals. But when our customers asked for a simple, affordable way to manage and scale their entire businesses, we listened. So, we created a CRM that connects these solutions—along with payments, material ordering, and more—into a seamless, powerful platform. With a clear roadmap ahead, we’re excited to continue expanding and leading the market with innovative products.

We have an amazing culture, strong financials, and best-in-class company metrics. It’s an exciting time to be part of an extraordinary startup that is already successful, yet still early enough to offer its team significant growth, equity, and the opportunity to make a real impact. 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.

Responsibilities

• 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.

Requirements

• 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

Employment Type:

Location Type:

Salary: