Job description

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 demonstrated ownership of production data and analytics solutions. • Experience partnering directly with business stakeholders to discover needs, design solutions, deliver value, and support adoption • Hands-on experience delivering solutions on a modern cloud data platform and business intelligence stack. • Advanced SQL and strong knowledge of data modeling, transformation, testing, performance optimization, and analytics engineering practices. • Strong Power BI capabilities, including semantic modeling, DAX, Power Query, report development, deployment, governance, and performance tuning. • Working knowledge of cloud data warehouses, ingestion and transformation patterns, version control, release practices, and production support. • Ability to translate ambiguous business questions into well-scoped, durable technical solutions and to balance speed, usability, scalability, governance, and maintainability. • Strong facilitation, consulting, communication, and stakeholder-management skills, with the ability to influence decisions across technical and nontechnical audiences. • Demonstrated accountability, sound judgment, curiosity, and a product-oriented mindset focused on business value and user adoption. • Ability to work independently across multiple priorities while collaborating effectively with business partners, data professionals, application teams, security, and AI teams. We’d Love to See: • Experience with Snowflake, Power BI, and Fivetran, or comparable tools within a modern cloud data ecosystem. • Experience designing and building enterprise semantic layers, including reusable semantic models, governed metrics, shared business definitions, and self-service analytics capabilities. • Experience enabling AI, machine learning, natural-language analytics, or automation use cases with trusted enterprise data. • Experience with dimensional modeling, data quality, metadata, lineage, access controls, and other applied data governance practices. • Relevant cloud, data platform, or Power BI certifications are beneficial but not required. What We Offer: • Comprehensive compensation package • Comprehensive benefits package • 401k • PTO • Health & Wellness Days • Paid Volunteer Time Off • Continuing education and training • Hybrid / Remote work schedule • Paid Parental Leave Crisis Prevention Institute is an Equal Opportunity Employer that does not discriminate against any applicant or employee on the basis of age, race, color, ethnicity, national origin, citizenship, religion, creed, sex, sexual orientation, gender, gender identity, or expression (including against any individual that is transitioning, has transitioned, or is perceived to be transitioning), marital status or civil partnership/union status, physical or mental disability, medical condition, pregnancy, childbirth, genetic information, military and veteran status, or any other basis prohibited by applicable federal, state, or local law. The Company will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Our management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities, and general treatment during employment.

Requirements

Must-haves

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.
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
Experience partnering directly with business stakeholders to discover needs, design solutions, deliver value, and support adoption
Hands-on experience delivering solutions on a modern cloud data platform and business intelligence stack.
Advanced SQL and strong knowledge of data modeling, transformation, testing, performance optimization, and analytics engineering practices.
Strong Power BI capabilities, including semantic modeling, DAX, Power Query, report development, deployment, governance, and performance tuning.
Working knowledge of cloud data warehouses, ingestion and transformation patterns, version control, release practices, and production support.
Ability to translate ambiguous business questions into well-scoped, durable technical solutions and to balance speed, usability, scalability, governance, and maintainability.
Strong facilitation, consulting, communication, and stakeholder-management skills, with the ability to influence decisions across technical and nontechnical audiences.
Demonstrated accountability, sound judgment, curiosity, and a product-oriented mindset focused on business value and user adoption.
Ability to work independently across multiple priorities while collaborating effectively with business partners, data professionals, application teams, security, and AI teams.
We’d Love to See: • Experience with Snowflake, Power BI, and Fivetran, or comparable tools within a modern cloud data ecosystem.
Experience designing and building enterprise semantic layers, including reusable semantic models, governed metrics, shared business definitions, and self-service analytics capabilities.
Experience enabling AI, machine learning, natural-language analytics, or automation use cases with trusted enterprise data.
Experience with dimensional modeling, data quality, metadata, lineage, access controls, and other applied data governance practices.
Relevant cloud, data platform, or Power BI certifications are beneficial but not required.

Nice-to-haves

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aisqlmachine learning

Platform: jazzhr
Effort: medium

Benefits

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401k

Pto

Parental Leave

Wellness