Job description
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.
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.
🏠 What we offer:
When you join our team, you’re not just accepting a job. You’re making a career move. Here’s how we’ll support you in doing some of the most impactful work of your career:
🏝️ Vacation/Paid Time Off:
- 1st week of employment is mandatory PTO! Start your journey with Roofr by decompressing and recharging - we will see you in week 2!
- 1 Friday off per month (we call those our laundry days!)
- Company wide paid shutdown for the week between Christmas and New Years
- Flexible time off
- 80% employer paid benefits
- RRSP/401k match
- Generous Parental Leave policy
🤝 Perks:
- We host 2 retreats per year and great team building activities
- Ample learning and development opportunities to continue growing your career
- Home office setup stipend
- Internet and phone allowance
- Remote first culture
- Weekly Friday paydays!
Roofr is proud to be an equal opportunity employer. We are committed to equal employment opportunity in the workplace regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status.
IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site (https://boards.greenhouse.io/roofr). Please be cautious of job offers that come from non-company email addresses (@roofr.com), instant messaging platforms, or unsolicited calls.
