Visualization Engineer

More about the Role

At Heartland Veterinary Partners, our mission is centered around elevating the lives of veterinarians and their teams. By partnering with Heartland, practice owners unlock a world of operational advantages and economies of scale, all while retaining their clinical autonomy. At Heartland, we go beyond the ordinary to foster an environment that nurtures growth, invests in our employees, and creates pathways for professional development.

The Heartland promise doesn't stop at operational brilliance; it extends to encompass non-clinical facets like recruiting & human resources, marketing, procurement, payables management, accounting & finance, and information technology. In essence, we've got every corner covered, so our partners can focus on what truly matters - providing optimal care for their patients. As a dedicated member of our Support Center, you'll have the opportunity to be a part of what makes that happen. Your role will be pivotal in helping our partners deliver unparalleled patient care.

The Heartland philosophy rests firmly on the pillars of Servant Leadership. This ethos defines our Support Center team, where every member embraces the ethos of selfless service and approaches every challenge with an unwavering commitment to support. If this resonates with your personal and professional values, then we'd like to get to know you better!

Position Purpose

Reporting to Heartland’s Director of Business Intelligence and Data, the Data Visualization Engineer plays a crucial role on the team by transforming complex data sets into compelling visual narratives that facilitate better decision-making. This role involves designing, developing, and maintaining interactive, high-performing, and complex dashboards, charts, and reports that render data both accessible and insightful. Utilizing a blend of analytical skills and creative flair, the Visualization Engineer ensures that data is represented in a clear, accurate, and engaging manner. Raw data is transformed into actionable insights using SQL, DAX, M Query, and data modeling to support strategic decision-making and ensure data governance. This is a full-time remote role.

Competencies

At Heartland, all of our team members embody the spirit of Servant Leadership.

• Authentic Listening - Continually listening with an open mind and heart to what is said and unsaid.
• Building Community –Bringing team members together and mobilizing them around our collective purpose and commitment to our communities.
• Commitment to the Growth of the People – Dedicated to the personal and professional growth and development of our team members.
• Conceptualization -Forward thinking and approaching work and challenges with an end-to-end view.
• Empathy – Demonstrating empathy and understanding with others, approaching everything assuming positive intentions.
• Foresight – Taking the past, the present, and the future decision-making process.
• Healing – Focusing on the emotional and physical health of our team members.  Offering support and solutions to ensure our team members have balance.
• Persuasion – Building group consensus and buy-in.
• Self-Awareness – Conscious knowledge of personal character, emotions, intentions, and leadership impact.
• Stewardship - Concern for our team members, customers, communities, and the organization as a whole and making good use of all that is available to provide appropriate support.

Essential Responsibilities

• Architect, develop, and maintain enterprise-grade Power BI semantic models, reports, and dashboards aligned with established UX standards and reusable components.
• Design and implement complex DAX measures, calculation groups, and row/object-level security with a focus on scalability, maintainability, and performance.
• Optimize data models and report performance using best practices in star schema design, aggregations, indexing strategies, partitioning, incremental refresh, and query tuning.
• Collaborate with business stakeholders to clarify requirements and translate them into report designs, KPIs, and user stories.
• Perform exploratory data analysis to identify data quality issues, trends, anomalies, and visualization opportunities.
• Work with data engineers to translate semantic/model requirements into source data structures, data pipelines, and transformations.
• Implement Git-based version control (branching, pull requests, code reviews) and CI/CD pipelines for automated deployment and lifecycle management of Power BI artifacts.
• Refactor and optimize existing reports for improv