iFIT · 2 hours ago
Analytics Engineer
United States
Full-time
Remote
Mid, Senior Level
$140K/yr - $140K/yr
4+ years expiFIT is creating a holistic health and fitness platform that integrates various elements of health into an interactive experience. They are seeking a Forward-Deployed Analytics Engineer to serve as a data partner for key business domains, responsible for building end-to-end data products that enhance decision-making and drive business value.
FitnessSubscription ServiceTrainingWellness
Responsibilities
Collaborate intimately with product managers, marketers, and other stakeholders to translate ambiguous business questions into concrete data requirements and technical specifications
Design, build, and own sophisticated data models on Snowflake using dbt, following software engineering best practices (version control, CI/CD, testing)
Develop and automate AI-powered data quality checks, anomaly detection, and observability to ensure the highest level of data integrity and trust
Optimize our data stack for performance and cost-efficiency, ensuring our queries are fast and our infrastructure is scalable
Build and refine our semantic layer in Snowflake Intelligence, dbt, or BI tools, making data intuitive and accessible for non-technical users
Act as a force multiplier by mentoring analysts and business users, teaching them how to leverage the data products you build
Stay on the bleeding edge of the modern data stack and AI in data, constantly experimenting with and recommending new tools and methodologies to improve our capabilities
Design, build, and maintain scalable data models and pipelines that support analytics and business intelligence needs
Transform raw data into clean, structured, and accessible datasets using modern data transformation tools (e.g., dbt, SQL)
Partner with data engineers to ensure reliable data infrastructure and with analysts to deliver usable, well-documented datasets
Implement and maintain data quality frameworks, monitoring systems, and governance practices
Optimize SQL queries and data transformations for performance and cost efficiency
Collaborate with business stakeholders to understand data requirements and translate them into technical solutions
Document data models, definitions, and transformation logic to ensure transparency and knowledge sharing
Stay current with industry trends and best practices in analytics engineering and modern data stack technologies
Qualification
Required
4+ years of hands-on experience in analytics engineering, data engineering, or a similar role, with a strong portfolio of building data models and pipelines in a cloud environment
Expert-level SQL and deep experience with data modeling concepts (e.g., star/snowflake schemas, Kimball methodologies)
Production experience with dbt is a must
Hands-on expertise with a cloud data warehouse like Snowflake, BigQuery, or Redshift
Proficiency with Git and CI/CD workflows (e.g., GitHub Actions)
Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or related field (or equivalent work experience)
Strong problem-solving skills and attention to detail
Preferred
Experience developing in a BI semantic layer (e.g., LookML, Power BI DAX)
Familiarity with Python for data analysis and orchestration (e.g., Airflow, Dagster)
Practical experience using LLMs or generative AI tools for code generation, documentation, or data quality
Knowledge of data observability and cataloging platforms
Familiarity with Python or other scripting languages for data manipulation
Experience with BI tools such as Tableau, Sigma, Looker, or Power BI
Knowledge of data governance, cataloging, and lineage tracking tools
Exposure to DevOps/MLOps practices and CI/CD pipelines
Benefits
The opportunity to work remotely-from wherever you are, or the ability to work in beautiful Cache Valley with access to an exceptional outdoor lifestyle, a university campus nearby, and the chance to test the fitness products we create.
Free mental health resources for employees and dependents
Career growth and guidance
Discounts on iFIT Products
FREE iFIT Membership
Employee discounts through ADP-LifeMart
Full benefits package (Medical, HSA, FSA, Dental, Vision and Life insurance)
Paid maternity and paid paternity leave
401(k) with company match.
A PTO policy that ensures you can find a happy work-to-life balance.
Access to cutting-edge technology and hardware for work and fitness.
Collaborative workspace and environment.
Company
iFIT
IFIT is a global subscription technology company that provides interactive personal training.
1001-5000 employees
H1B Sponsorship
iFIT has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2022 (5)
Funding
Current Stage
Late StageTotal Funding
$580MKey Investors
L CattertonPlanet Fitness
2022-02-28Private Equity· $355M
2022-02-28Debt Financing
2021-03-17Series B· $25M
Leadership Team
Mark Watterson
CEO, iFIT Commercial
Chase Brammer
Chief Technology Officer
Recent News
bloomberglaw.com
2025-11-26
The Seattle Times
2025-10-23
Company data provided by crunchbase