Analytics Engineer shaping Statista's reporting platform for data - driven decision - making. Focusing on BI tools like Power BI and improving report usability and transparency.
About the role
- Senior Analytics Engineer creating data models and analytics solutions at Color's Virtual Cancer Clinic. Collaborating with teams to drive product and business decisions on cancer care outcomes.
Responsibilities
- Build foundational data models that help Color demonstrate program value to employers and prospective clients.
- Translate business needs and source data into robust, scalable models that power accurate, insightful analysis.
- Collaborate across Product, Engineering, Operations, GTM, Clinical, and Client teams — clarifying ambiguity and balancing scope vs. impact to deliver meaningful solutions.
- Define and maintain business logic in dbt, keeping the warehouse aligned with evolving products, data, and business needs.
- Create self-service data layers that speak the language of business users, enabling intuitive, independent exploration.
- Partner with BI and analytics teams to align on metrics and ensure consistency and trust across dashboards.
- Identify recurring patterns and build reusable solutions that reduce ad hoc work and improve scalability.
- Use emerging AI and automation tools to streamline analytics workflows and boost team efficiency.
- Contribute to a culture of data-driven decision-making by mentoring peers and sharing best practices in analytics engineering.
Requirements
- 5+ years of experience using data to drive product growth and operational efficiency.
- 5+ years of experience as an analytics engineer or in a similar role..
- Advanced proficiency in SQL, data model design, and data warehouse platforms..
- Working knowledge of Python and data science tools.
- Deep interest in the modern data stack.
- Excellent communication skills and ability to work with technical and non-technical partners from many teams, especially in exploring decisions and trade-offs.
- Experience driving complex projects from design to completion.
- Commitment to software engineering best practices and applying them in an analytics setting.
- A strong desire to work at the intersection of healthcare and technology, driven by the opportunity to make preventive care more accessible and equitable.
- A strong desire to adapt to new emerging technology and AI tools to scale the output of the team.
Benefits
- 💰 Competitive salary
- ✨ Comprehensive medical, dental, vision, life, and disability benefits
- 📈 401k match
- 📝 Monthly phone and wifi stipend for employees, annual ergonomic stipend
- 🏝 Generous vacation policy, paid holidays and company-wide recharge days
- 🍼 Equal paid parental leave for birthing and non-birthing parents
- Free cancer screening and prevention resources for employees and their adult dependents
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