The Role
Owns end-to-end analytics engineering solutions, translating business needs into governed reporting, BI, semantic models, and AI-enabled data solutions. Builds and maintains data transformations, integrations, dashboards, and reusable analytics datasets using Snowflake, Power BI, and Fivetran. Applies data governance, validation, monitoring, documentation, and support practices while partnering with technical and business stakeholders to drive adoption and measurable outcomes.
Summary Generated by Built In
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:
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:
We’d Love to See:
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 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.
- 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.
- 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
Skills Required
- Bachelor's degree
- At least six years of progressive experience in analytics engineering, business intelligence, data engineering, data analytics, or a closely related field
- 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 knowledge
- 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 durable technical solutions and balance speed, usability, scalability, governance, and maintainability
- Strong facilitation, consulting, communication, and stakeholder-management skills
- Ability to influence technical and nontechnical audiences
- Ability to work independently across multiple priorities while collaborating with business, data, application, security, and AI teams
- Experience with Snowflake, Power BI, and Fivetran or comparable modern cloud data ecosystem tools
- Experience designing and building enterprise semantic layers, 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 applied data governance
- Relevant cloud, data platform, or Power BI certifications
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The Company
What We Do
Since 1980, the Crisis Prevention Institute has helped millions of individuals begin a journey of positive, supportive, and empathic caring for people of all ages. • We believe in the power of empathy, compassion, and meaningful connections. • We consider personal safety and security the antidotes to fear and anxiety; and that listening leads to understanding. • We know when those who care for others feel prepared and confident in their abilities, they can make the world a better place. CPI’s crisis prevention training gives professionals the confidence to prevent and respond to workplace violence. With a focus on healthcare, education, human services, and dementia care, CPI sets the standard for best practices in evidence-based workplace violence prevention. Our training is designed to support the safety and well-being of both staff and those in their care. We teach the skills that help professionals de-escalate verbal and physical crises in the workplace, with an array of solutions that address the full spectrum of risk levels. Solutions Nonviolent Crisis Intervention® Training: Nonviolent Crisis Intervention Training focuses on verbal de-escalation and early intervention, giving staff an effective framework for decision making and problem solving, as well as teaching safe disengagements and physical interventions that can be implemented with the least use of force, providing the safest environment for all parties involved. Verbal Intervention™ Training: This program is ideal for organizations that have a hands-off policy, and for staff members who don’t experience higher risk situations requiring physical interventions, instilling the confidence and skills to verbally respond to disruptive behaviors, and prevent further escalation. To learn more about CPI and our full offering of industry-leading solutions, visit us today at crisisprevention.com.
