Data Analyst Intern

Summary

iFIT’s vision is to create the world's most holistic health and fitness platform, integrating all elements of health - physical fitness, mental health, nutrition, and active recovery - into a seamless interactive experience. We develop proprietary software that learns and adjusts to the habits of each person as it delivers immersive content that guides them on their own individual fitness journey.

We are currently seeking an ambitious pacesetter to join our team as a Data Analyst Intern in Logan, UT.

We want to provide a great learning and growth experience for all of our interns. We will make sure that you are working on projects and leave your internship more confident in your studies and in your future career.

Below you will find the responsibilities and projects planned for your internship.

PROJECTS

The Data Analyst Intern assists the inflow, organization and optimization of various data sources while ensuring data integrity to provide reporting and direction to the overall business. They will lead various data driven projects to add value to the company then present those outcomes and KPIs to the C Suite/Executive Level Team. In addition to developing and implementing databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality, they will also analyze the processes integral to data gathering and make any suggestions for improvement.

Essential Duties And Responsibilities

• Drive company operation performance metrics.
• Utilize SQL and Snowflake Data Warehouse to extract and analyze sales data, unit volumes, and departmental spend.
• Design and enhance Tableau dashboards to present data in an engaging and insightful manner.
• Validate, maintain and automate all go forward dashboards, reports, and KPIs.
• Assist with current QA app database maintenance and distribution of app updates while assisting in the development of a new app to replace the current system.
• Lead ad hoc data related projects, develop KPIs and present data to the C Suite/ELT.
• Develop insights from data, assist organization in understanding information presented, identify trends, develop predictive models.
• Be forward thinking in how to develop data sources in a way that keeps up with the latest statistical trends and industry standards.
• Develop advanced SQL queries using snowflake.
• Move data (including web scraping and apis) and run analysis using python.
• Develop slides for presenting data in high level meetings