Senior Analytics Engineer

Our Story: Crisis Prevention Institute , Inc. (CPI) is the worldwide leader in evidence‑based de‑escalation and crisis prevention training and dementia care services. Our programs teach professionals the skills to recognize, prevent, and respond to crises in the workplace. Since 1980, we’ve helped train more than 17 million people across service‑oriented industries including education, health care, behavioral health, long‑term care, human services, security, corporate, and retail. At CPI, we are dedicated to changing behaviors and reducing conflict for the Care, Welfare, Safety, and Security of everyone. We believe empathy, meaningful connections, personal safety, and security are the antidotes to fear and anxiety. This philosophy is central to everything we do and traces back to our beginning.

As a member of the team, you can expect to:

• Make a difference through your work — You’ll be proud to tell your family and friends what you do.

• Gain significant career experience within a fast‑growing organization — From entry‑level roles to executive leadership.

• Feel fulfilled and have fun — We work hard but make time to build meaningful relationships and celebrate wins.

The Role: The Senior Analytics Engineer is a business-facing solution owner responsible for translating complex business needs into trusted, scalable data and analytics solutions. Working as a forward-deployed partner within the business, this role owns solutions from discovery and design through delivery, adoption, and continuous improvement. The position enables reporting, business intelligence, analytics, and AI use cases; curates reusable semantic models; integrates governed data into AI-enabled solutions; and advances practical data governance. The role works across a modern cloud data stack—including Snowflake, Power BI, and Fivetran—while partnering closely with business and technology stakeholders to deliver measurable outcomes.

What You Get to Do Every Day:

• Serve as the end-to-end owner for assigned data and analytics solutions, from business discovery and requirements through design, delivery, adoption, support, and continuous improvement.

• Embed with business teams as a consultative, forward-deployed engineering partner to understand workflows, frame problems, recommend solutions, and deliver measurable business outcomes.

• Design, build, test, deploy, and maintain reporting, dashboarding, business intelligence, and analytics solutions, primarily using Power BI and complementary AI-enabled tools.

• Curate analytics-ready datasets and design, build, and maintain governed semantic layers—including reusable semantic models, shared measures, business definitions, and metadata—that provide consistent, trusted data for self-service analytics, reporting, and AI-enabled solutions.

• Develop and optimize data transformations and integrations across Snowflake, Fivetran, Power BI, and other components of the modern cloud data stack.

• Partner with AI project teams to prepare, integrate, and operationalize trusted enterprise data for AI-assisted workflows, search, automation, and analytical use cases.

• Apply data governance standards in daily delivery, including ownership, definitions, lineage, access, privacy, quality, documentation, and lifecycle management.

• Establish validation, monitoring, and support practices that ensure solutions are accurate, reliable, secure, performant, and usable.

• Communicate technical concepts clearly to nontechnical audiences; facilitate tradeoff decisions; and provide training, documentation, and change support that drive adoption.

• Contribute reusable patterns, peer reviews, mentoring, and engineering standards while maintaining primary accountability for the success of assigned business solutions.

You Need to Have:

• Bachelor’s degree

• At least six years of progressive experience in analytics engineering, business intelligence, data engineering, data analytics, or a closely related field, including…