Roofr

Implementation Specialist

• Deliver results, provide high-quality customer interactions, drive product adoption, and effectively manage multiple/simultaneous implementations.
• Coordinate with Product, Service Delivery, and Account Management teams to execute on implementation.
• Manage key metrics that feed into team-based goals around Product Adoption, churn, and advocacy
• Help build and maintain a scalable customer onboarding journey to help drive adoption to our platform and value for our customers
• Execute Roofr training sessions through online demonstrations
• Measure and action on engagement data through our Customer Health Score framework
• Work with the other Revenue teams to ensure a cohesive Roofr experience
• Drive clients towards adopting additional Roofr products to help increase MRR expansion potential

Data Scientist

• As a Data Scientist, you’ll be both strategic and hands-on, applying advanced analytics to solve high-impact business problems.
• Typical responsibilities include:
• Conduct exploratory data analysis to identify patterns and trends in large datasets
• Design, model, and deploy datasets for continuous and reusable analysis
• Design and execute statistical experiments, A/B tests, and hypothesis testing
• Build predictive models using regression analysis, time series forecasting, and statistical techniques, and other predictive techniques
• Create comprehensive reports and visualizations to communicate findings to stakeholders
• Partner with business teams to translate questions into analytical frameworks
• Ensure data quality through validation, cleaning, and preprocessing
• Provide recommendations based on statistical evidence and data analysis
• Monitor and analyze key business metrics and identify significant changes or trends

Data Analyst

• 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.

Implementation Specialist

Data Scientist

Data Analytics Manager