Data Analytics Manager

At Bitfocus, we’re building more than software — we’re building solutions that help end homelessness and transform communities. As a mission‑driven team, we strive to live by our core values: lead with care, innovate with insider knowledge, and celebrate the power of community in everything we do.

We take pride in our work, support one another, and embrace smart risks that drive meaningful impact. We value authenticity, curiosity, and growth — and we believe work should be both purposeful and enjoyable.

Everyone at Bitfocus plays a role in creating an 11‑star experience for our customers. If you’re passionate about using your skills to make a difference, we’d love to have you on the team.

We hope you consider bringing your talent and drive, and join us in helping end homelessness!

We are seeking a highly motivated and experienced Data Analytics Manager to join our Data Services team. The successful candidate will lead the execution and operational delivery of a team of data analysts, transforming complex datasets into clear, actionable insights to support effective decision‑making.

• Oversee and operationalize the analytics lifecycle from requirements gathering and business interpretation to implementing analytical models, dashboards, and reports.
• Validate data and ensure consistent, high‑quality delivery.
• Improve efficiency through automations, standardized workflows, and quality controls that reduce manual effort and improve delivery timelines.
• Provide direct people leadership to the analytics team, setting expectations, managing capacity, and supporting strong analytical practices.
• Collaborate with customers, internal teams, and stakeholders to ensure analytical solutions are accurate, relevant, and aligned to organizational goals.

• At least 8+ years of progressive relevant experience in a data‑intensive environment, including a minimum of 3+ years in a formal people leadership role managing direct reports.
• Bachelor’s degree in information systems, computer science, mathematics, statistics, economics, or a closely related quantitative field; a master’s degree is a strong plus.
• Strong understanding of data systems, relationships, and modeling, with the ability to quickly learn various data environments.
• Proven excellent written and oral communication skills in English, with the ability to effectively communicate complex technical information to both technical and non‑technical stakeholders.
• Proficiency in SQL, Looker, and other data analysis tools.
• Experience with BI tools and data visualization platforms such as Tableau or Power BI.
• Experience with Homeless Management Information Systems (HMIS), particularly Clarity Human Services, is a significant plus.

Annual targeted total compensation range of $71,000 - $135,000
, including variable compensation (bonus) eligibility.

This is a fully remote, full‑time position. Successful candidates will work from home.

During any stage of the interview process, the use of artificial intelligence (AI) tools to generate or assist with responses is not permitted. If you require accommodations involving AI, please contact us in advance at

• Private & Secure Workspace
  :
  Dedicated space that is quiet, private, and free from distractions.
• Internet Connection & Equipment
  :
  • Reliable provider: high‑speed cable, DSL, or fiber optic.
  • Minimum performance standards:
    Download 50 Mbps, Upload 20 Mbps, Latency ≤50 ms.

The Data Services team's mission is to promote a data‑driven decision‑making culture to solve homelessness. The team combines expertise in data modeling, analytics, and integration with social services experience.

Our benefits are designed to support you in all aspects of your health and well‑being—social, physical, emotional, and financial.

• Exceptional Culture & Mission‑Driven Work
• Comprehensive Healthcare (100% employer‑paid)
• 12 Weeks Paid Parental Leave
• R&R Week (Paid Week Off at Year‑End)
• Three Weeks of Paid Vacation + Two Volunteer Days Per Year
• 401K Retirement Plan (4% match)
• Flexible Work Hours & Remote‑First Culture
• Career Growth Plans for Each Role

Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, veteran status, or disability.