our companys Data & Analytics team believes theres a better way to make data useful than just creating endless dashboards. We focus on in-depth analysis and building scalable, trustworthy data solutions that help every team make faster, smarter decisions. From analytics and business intelligence to data pipelines and predictive models, we turn raw information into real impact. If youre passionate about finding radical new ways to leverage data, youll fit right in.
On your day to day
On a day-to-day basis, we transform raw data into clean, structured models using tools like SQL, Python, and dbt. We build and maintain modern BI platforms, develop reporting systems, and design AI-driven analytics that surface valuable insights quickly and reliably. Our team is hands-on with building reusable metrics, defining source-of-truth data models, and ensuring consistency through a strong semantic layer. Whether were shipping a new dashboard, debugging a dbt model, or refining how a metric is defined across the business, our focus is always on clarity, scalability, and enabling smarter, faster decisions.
On your day to day
On a day-to-day basis, we transform raw data into clean, structured models using tools like SQL, Python, and dbt. We build and maintain modern BI platforms, develop reporting systems, and design AI-driven analytics that surface valuable insights quickly and reliably. Our team is hands-on with building reusable metrics, defining source-of-truth data models, and ensuring consistency through a strong semantic layer. Whether were shipping a new dashboard, debugging a dbt model, or refining how a metric is defined across the business, our focus is always on clarity, scalability, and enabling smarter, faster decisions.
Requirements:
Strong proficiency in SQL with hands-on experience building data pipelines (2+ years)
Experience with modeling data using dbt or similar tools.
Proficiency in Python
Solid grasp of software engineering best practices, including query optimization, version control (e.g. Git), code reviews, and documentation.
Analytical mindset with strong problem-solving skills, the ability to manage multiple priorities independently and a proactive approach to improving data processes and tools.
Comfortable in a fast-paced, cross-functional environment; able to collaborate with teams across Product, BizOps, and Marketing.
Strong proficiency in SQL with hands-on experience building data pipelines (2+ years)
Experience with modeling data using dbt or similar tools.
Proficiency in Python
Solid grasp of software engineering best practices, including query optimization, version control (e.g. Git), code reviews, and documentation.
Analytical mindset with strong problem-solving skills, the ability to manage multiple priorities independently and a proactive approach to improving data processes and tools.
Comfortable in a fast-paced, cross-functional environment; able to collaborate with teams across Product, BizOps, and Marketing.
This position is open to all candidates.
