Data Analytics Manager at Roofr

At Roofr, we are deeply committed to our customers. We prioritize gathering direct feedback to shape and launch the products they truly need, which is what makes our CRM platform stand out. We began by building essential sales tools like digital proposals and aerial roof measurements, but we evolved by listening to our customers who needed a simple, affordable way to manage and scale their entire businesses. Today, we offer a seamless platform that connects payments, material ordering, and business management into one powerful solution. We are a successful, high-growth startup with strong financials and an amazing culture, offering you the chance to make a significant impact while growing your career.

About the Role

We are looking for a hands-on Data Analytics Manager to join us on a full-time basis. In this role, you will lead and scale our data function, covering data engineering, analytics, and data science. You will be responsible for defining and executing our modern data strategy, ensuring that our cross-functional teams have access to clean, trustworthy, and actionable insights to drive our product roadmap and business strategy.

Key Responsibilities

• Lead, mentor, and grow a multidisciplinary team of data engineers, analysts, and data scientists.
• Own the end-to-end data lifecycle, including ELT pipelines, data modeling in DBT, orchestration with Airflow, and the maintenance of our Snowflake architecture.
• Partner with stakeholders across Product, Engineering, Marketing, and Operations to define KPIs, build dashboards, and implement experimentation frameworks.

Requirements

To be successful in this position, you should possess the following qualifications and skills:

• At least 5 years of experience in data-focused roles, including 1 to 2 years of experience managing a technical team.
• Strong technical proficiency in SQL, DBT, and orchestration tools like Airflow.
• Experience working with modern data stacks, including Snowflake and ELT tools such as Stitch.
• Familiarity with Python for scripting and data science workflows.
• A solid understanding of data visualization tools like Metabase, as well as experience with experimentation and statistical analysis.
• Excellent communication skills with the ability to translate complex data into actionable insights for both technical and non-technical stakeholders.

Location

This is a remote position, and we welcome applicants from anywhere.

Compensation and Benefits

We are dedicated to supporting your professional and personal well-being through a comprehensive benefits package:

• A 401k plan with company matching.
• Flexible paid time off, including a mandatory first week of vacation, one Friday off per month, and a company-wide shutdown between Christmas and New Years.
• A generous learning budget to support your professional development.
• A home office stipend to ensure you have a comfortable workspace.
• Regular company retreats and team-building activities.
• A remote-first work environment.