Data Analytics Manager

Position Overview

• Location Type: Not specified
• Job Type: Not specified
• Salary: Not specified

Roofr is seeking a hands-on Data Analytics Manager to lead and scale its growing data function, encompassing data engineering, analytics, and data science. This is a leadership role focused on defining and executing a modern data strategy within a high-growth startup environment. The successful candidate will manage a small, high-impact team, owning the full data lifecycle from ELT pipelines and data modeling to dashboarding, experimentation, and predictive modeling. This role requires close collaboration with Product, Engineering, Marketing, and Operations to ensure the business has access to clean, trustworthy, and actionable data. Roofr is dedicated to building a powerful user experience and empowering its team with significant growth opportunities and the chance to make a real impact.

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