The Juice Plus+ Company
Data Modeler, Data Engineering
The Juice Plus+ Company, Collierville, Tennessee, United States, 38017
The Juice Plus Company is a multi-million dollar competitor in the health and wellness industry, utilizing a unique combination of direct sales and e-commerce to market our carefully curated line of plant-based nutritional products, in pursuit of our mission to “Inspire Healthy Living Around the World.”
We’re scaling fast and modernizing our global data stack with
Snowflake, Microsoft Fabric, and Power BI . Our goal is to unlock governed self-service analytics at scale—empowering employees and partners worldwide with the insights they need to act with confidence. We’re seeking a
Data Modeler
who thrives at the intersection of technology and business, bringing expertise in modeling, governance, and user experience. You’ll champion Fabric migration, optimize performance and cost, and deliver intuitive models that make complex data easy to use—helping us take our data strategy to the next level. Applicants must provide a
cover letter
to be considered. Basics of a professional cover letter: introduction, why you are interested in this role, your relevant background, and why you are a good fit for Juice Plus+. Responses to the following prompts: A time you solved a difficult problem by approaching it differently than others. How you ensure your work supports the bigger picture and helps others succeed. What motivates you most in a data engineering role. How you keep stakeholders informed when unexpected issues arise. An example of jumping into a project midstream and quickly contributing. Responsibilities Design and maintain scalable, reusable
semantic models
that support enterprise and departmental reporting needs. Own
Power BI administration, governance, paginated reports, capacity monitoring, and usage oversight . Champion
Microsoft Fabric migration , evaluating workloads across performance, cost, and developer/user experience. Translate business logic into facts, dimensions, and measures using best practices (SCDs, surrogate keys, performance optimization). Partner with Data Engineering to ensure curated layers in
Snowflake and SQL Server
meet modeling needs. Incorporate
user experience principles
into all designs to maximize adoption and ease of use. Document definitions, lineage, and participate in reviews to continuously improve data quality. Share knowledge, mentor peers, and provide clear, timely updates to keep the team aligned. Support performance tuning and assist with Data Engineering tasks in Snowflake or similar platforms as needed. Skills & Experience A passion for building
data models
that make analytics simple, intuitive, and impactful. Experience (3+ years) in
data modeling, engineering, or analytics , with exposure to finance or business analysis. Strong SQL skills, and comfort working in
Snowflake and SQL Server . Deep expertise in the
Power BI ecosystem
— including semantic models, DAX, Paginated Reports, capacity monitoring, governance, and Gateway. Hands-on experience with Tabular Editor and DAX Studio
to make models faster, cleaner, and easier to maintain. An eye for
user experience
— you think about how models feel to the people using them, not just how they’re built. A
self-starter mindset : you solve problems with little direction, keep your team updated, and love sharing what you’ve learned. Preferred Qualifications Prior experience as a Data Engineer Experience with QA setup in Power BI Disclaimer This job description is only a summary of the typical functions of the job, not a comprehensive list of all possible job responsibilities, tasks and duties.
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Snowflake, Microsoft Fabric, and Power BI . Our goal is to unlock governed self-service analytics at scale—empowering employees and partners worldwide with the insights they need to act with confidence. We’re seeking a
Data Modeler
who thrives at the intersection of technology and business, bringing expertise in modeling, governance, and user experience. You’ll champion Fabric migration, optimize performance and cost, and deliver intuitive models that make complex data easy to use—helping us take our data strategy to the next level. Applicants must provide a
cover letter
to be considered. Basics of a professional cover letter: introduction, why you are interested in this role, your relevant background, and why you are a good fit for Juice Plus+. Responses to the following prompts: A time you solved a difficult problem by approaching it differently than others. How you ensure your work supports the bigger picture and helps others succeed. What motivates you most in a data engineering role. How you keep stakeholders informed when unexpected issues arise. An example of jumping into a project midstream and quickly contributing. Responsibilities Design and maintain scalable, reusable
semantic models
that support enterprise and departmental reporting needs. Own
Power BI administration, governance, paginated reports, capacity monitoring, and usage oversight . Champion
Microsoft Fabric migration , evaluating workloads across performance, cost, and developer/user experience. Translate business logic into facts, dimensions, and measures using best practices (SCDs, surrogate keys, performance optimization). Partner with Data Engineering to ensure curated layers in
Snowflake and SQL Server
meet modeling needs. Incorporate
user experience principles
into all designs to maximize adoption and ease of use. Document definitions, lineage, and participate in reviews to continuously improve data quality. Share knowledge, mentor peers, and provide clear, timely updates to keep the team aligned. Support performance tuning and assist with Data Engineering tasks in Snowflake or similar platforms as needed. Skills & Experience A passion for building
data models
that make analytics simple, intuitive, and impactful. Experience (3+ years) in
data modeling, engineering, or analytics , with exposure to finance or business analysis. Strong SQL skills, and comfort working in
Snowflake and SQL Server . Deep expertise in the
Power BI ecosystem
— including semantic models, DAX, Paginated Reports, capacity monitoring, governance, and Gateway. Hands-on experience with Tabular Editor and DAX Studio
to make models faster, cleaner, and easier to maintain. An eye for
user experience
— you think about how models feel to the people using them, not just how they’re built. A
self-starter mindset : you solve problems with little direction, keep your team updated, and love sharing what you’ve learned. Preferred Qualifications Prior experience as a Data Engineer Experience with QA setup in Power BI Disclaimer This job description is only a summary of the typical functions of the job, not a comprehensive list of all possible job responsibilities, tasks and duties.
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