Business Intelligence Engineer

Description Salary Range: $100,000 – $115,000 About Designs For Health Designs for Health is a leading innovator in the nutraceutical and functional medicine industry, dedicated to designing and manufacturing evidence-based nutritional products of superior quality. For over three decades, we’ve built a reputation for integrity, scientific rigor, and a deep commitment to the health and wellness of our customers.

Job Summary We are seeking a detail-oriented and technically skilled BI Engineer to support our business intelligence and reporting initiatives. The ideal candidate has strong experience in Python, Power BI, Snowflake, SQL and DAX, and can translate complex data into actionable insights to drive decision-making across the organization.

Key Responsibilities

• Administer, monitor and manage Power BI services, including security and user access management.
• Model, transform, design, build, and maintain Power BI semantic models, dashboards and reports for business stakeholders.
• Write efficient DAX measures and calculated columns for advanced analytics and dynamic visuals.
• Tune reports and data models for efficiency, scalability and reliable refreshes.
• Design and support (Role Based Access Control) RBAC across semantic models.
• Manage and troubleshoot data pipelines built using Python/R and SQL to automate data extraction, transformation, and loading processes into Snowflake.
• Optimize Snowflake queries, manage data models, and ensure data accuracy and performance.
• Collaborate with cross-functional teams to understand data needs and deliver analytical solutions.
• Perform data validation, quality checks, and ensure consistency across reporting layers.
• Document processes, data models, and transformation logic for transparency and governance.
• Support ad-hoc analysis and generate insights to guide business strategy.

Competencies

• Analytical Thinking: Ability to evaluate data, identify patterns, and draw meaningful conclusions that support business goals.
• Curiosity & Continuous Learning: Demonstrates interest in learning new analytical approaches, tools, and industry practices.
• Communication & Collaboration: Skilled at presenting insights clearly and working effectively with stakeholders across diverse functions.
• Problem Solving: Applies logical, creative thinking to challenges and identifies practical, well-reasoned solutions.
• Attention to Detail: Maintains accuracy in data interpretation, reporting, and documentation, ensuring confidence in outputs.
• Initiative & Ownership: Proactively seeks opportunities to improve processes, asks thoughtful questions, and follows through on commitments.
• Adaptability: Adjusts effectively to changing priorities and evolving business needs in a fast-paced environment.

Qualifications

• Bachelor’s degree in Data Analytics, Computer Science, Information Systems, Statistics, or related field.
• 5 years of hands-on experience in data analysis, business intelligence, or analytics engineering.
• Proficient in Power BI (including DAX, data modeling, version control and performance optimization) including experience with automation, testing, and deployment in a CI/CD environment.
• Proficient in Python (for automation, data wrangling, and analytics libraries such as pandas, numpy).
• Proficient in Snowflake (SQL scripting, schema design, query optimization).
• Strong understanding of data visualization principles and KPI reporting.
• Good understanding of statistics and basic ML like regression, classification and timeseries models.
• Experience integrating multiple data sources and managing large datasets.
• Excellent problem-solving and communication skills.
• Proficient with GitHub for version control and collaborative development.
• Solid understanding of CI/CD (Continuous Integration/Continuous Deployment) pipelines and best practices.
• Preferred Experience with APIs, REST connectors, or cloud integrations (e.g., Azure, AWS).
• Preferred Experience with version control (Git) and data governance best practices.
• Preferred Background in finance, sales, or operations analytics is a plus.
• Preferred Experience in Machine Learning and Data Science.

Why Join DFH?

• Opportunity to work on meaningful projects that shape business decisions across a growing organization.
• Collaborative, learning-focused environment with exposure to multiple business functions.
• Clear pathways for career growth and professional development in analytics and data science.

Physical Demands This position is primarily sedentary, requiring regular computer use and communication. Some tasks may involve moving within the office environment or occasional lifting of up to 10 lbs. Reasonable accommodation may be made to enable individuals with disabilities to perform essential duties.

Privacy Your application for this position is subject to Designs for Health’s Privacy Notice for Job Applicants and Workforce Members. Designs for Health does not sell your personal information, nor does Designs for Health share it for purposes of cross-context behavioral advertising.

Our Commitment to Diversity, Inclusion & Belonging Designs for Health is an equal opportunity employer. We welcome diversity and are committed to creating an inclusive environment where all employees can grow and thrive. Our employees form meaningful and often life-long connections while working at Designs for Health. We are all passionate about our mission of designing a well world, together.