Senior Business Intelligence Analyst, Product

About Hone

Hone is an online medical clinic at the forefront of transforming healthcare and enhancing longevity. We use cutting‑edge scientific advancements to empower men and women to take control of their health and unlock their full potential. Our people are the heart of everything we do and drive our success. We approach every project through our brand values:

• Fight for the Customer
• Communicate Candidly, Clearly, and Kindly
• Collaborate Selflessly
• Practice Calculated Risk‑Taking
• Maximize Joy and Gratitude

Hone has been fully virtual from day one and will continue to be a remote‑first employer.

Our ideal candidate is a mission‑driven, motivated multi‑tasker who is invested in work that is fulfilling and impactful. They embrace change and tackle challenges with enthusiasm. They have an "all‑in" disposition towards work, understanding that we are a fast‑paced, high‑growth organization with evolving priorities. They can excel at both independent tasks and collaborative work, leading with clear and candid communication. They exhibit humble leadership—the ability to drive initiatives forward while remaining excited about continuous learning and development opportunities.

They feel strongly about being part of a team that advocates for people to live longer and better lives.

Hone is looking for a Senior Business Intelligence Analyst to join our team. In this role, you will report to the Sr. Director, Data, Analytics, and Machine Learning and you will work closely with business stakeholders to turn data into insights that drive strategic decisions. You'll design dashboards, build reports, and develop thoughtful analysis to help teams across the company better understand performance and opportunities.

This is a high‑impact role where you'll serve as a trusted analytics partner and shape how data is used to fuel our growth.

• Partner with Product & Engineering teams to understand their goals and translate them into metrics, reports, and dashboards.
• Build reporting products within the application.
• Build, maintain, and enhance core business dashboards using Power BI.
• Utilize AI to maximize efficiency.
• Use SQL and Python to extract, analyze, and transform data to support reporting and ad hoc analysis.
• Own the design and documentation of key business metrics, ensuring clarity and consistency across teams.
• Proactively identify trends, anomalies, and opportunities in data and share insights with stakeholders.
• Collaborate with Data Engineering and Analytics Engineering to ensure data models meet reporting needs and support self‑service analytics.
• Contribute to the development of team‑wide best practices for visualization, dashboard UX, and storytelling with data.
• Create training, documentation, and data literacy resources to enable others to access and interpret data effectively.
• Participate in sprint planning and help shape the BI roadmap by identifying high‑value projects and recurring requests.
• Mentor and teach data‑savvy stakeholders and serve as a subject matter expert in the BI toolset and analytics best practices.

• 5+ years of experience in business intelligence, data analysis, or a similar role.
• Advanced SQL skills and comfort working directly with raw tables to produce clean, performant queries.
• Intermediate Python skills to model and analyze raw tables.
• Hands‑on experience with one or more modern BI tools (e.g., Power BI, Tableau, Looker).
• Strong data visualization and communication skills.
• Passionate about helping others understand and use data to drive better decisions.
• Experience working in cloud platforms (Azure, AWS, GCP).
• Familiarity with dbt or dimensional modeling concepts is a plus.
• Familiarity with healthcare, telehealth, or regulatory data (e.g., HIPAA) is a plus.
• Experience working in agile, cross‑functional teams.
• Ability to multitask, prioritize, and adhere to deadlines while maintaining attention to detail and quality.
• Comfortable in a fast‑paced, frequently changing environment.
• Creative problem‑solving skills with a results‑driven mindset.
• Can quickly learn new technology systems and communication tools.
• Ability to work autonomously and…