Associate Data Analyst

Job description

Who We Are

We are a team of designers and engineers, players and parents, dreamers, and doers. We care about athletes’ success in sport and life, and we are uncompromising when it comes to our protective gear’s design, fit, feel and performance. Every helmet we make achieves top safety ratings, so every athlete takes the field with the confidence to play at their best.

Our athlete-centric philosophy does not stop at safety. We design for needs that transcend protection, pushing the boundaries of fit, feel, comfort, durability, performance, and style. We stay ahead of the game with a tireless work ethic and nonstop drive to innovate for football’s fast-changing landscape.

To learn more about our relentless commitment to protecting the athlete on and off the field you can learn more on Xenith.com and our social media platforms: Facebook, Instagram, & YouTube.

This is a hybrid role where one will mainly be working remotely but there will be a day or two each quarter where you will be meeting with leadership at our offices in Detroit, MI.

Job Summary

As an Associate Data Analyst, you'll build your skills and assist with collecting, analyzing and reporting data to recommend data-driven solutions to stakeholders, including business leaders. In this role, you'll focus on standard reporting and analysis techniques while learning more sophisticated analyses and tools.


  • Develop, implement, and maintain leading-edge analytic systems, taking complicated problems and building simple frameworks
  • Identify trends and opportunities for growth through analysis of complex data sets
  • Evaluate internal systems for efficiency, problems, and inaccuracies, developing and maintaining protocols for handling, processing, and cleaning data
  • Work closely with Chief Performance Officer to understand and maintain focus on their analytical needs, including identifying critical metrics and KPIs, and deliver actionable insights to relevant decision-makers
  • Proactively streamline and automate workflows to speed up processing.
  • Create and maintain rich interactive visualizations through data interpretation and analysis integrating various reporting components from multiple data sources
  • Clean up processes and data.

Minimum Qualifications

  • Experience building basic data visualizations such as charts, graphs, and tables
  • Experience using data to tell stories tailored to the audience
  • Proficiency creating professional documents and presentations
  • Working knowledge of descriptive statistical analysis techniques
  • Knowledge of SQL or other querying languages for creating data sets
  • Fast paced individual who is able self-learn.
  • Not afraid to dig deep into paperwork and data to find a solution.
  • Proven analytic skills, including data mining, evaluation, analysis, and visualization
  • Technical writing experience in relevant areas, including queries, reports, and presentations
  • Strong Excel/R skills with the ability to learn other analytic tools
  • Multitasking, ability to self-learn and dig deep into data and institutional knowledge

Preferred Qualifications

  • Bachelor’s degree or equivalent experience in a scientific discipline, mathematics, applied statistics, information technology or a related field
  • 2 years of experience or equivalent competency using Microsoft Excel & R for data analysis
  • 1 year of experience or equivalent competency using queries to create and analyze data sets in a business setting Conceptual knowledge of software programming fundamentals
  • Strong programming experience with Python and R
  • Proven success in a collaborative, team-oriented environment


This is an outline of the primary responsibilities of this position. As with everything in life, things change. The tasks and responsibilities can be changed, added to, removed, amended, deleted and modified at any time by the leadership group.

We are proud equal opportunity employers and committed to providing an inclusive environment based on mutual respect for all candidates and team members. Employment decisions, including hiring decisions, are not based on race, color, religion, national origin, sex, physical or mental disability, sexual orientation, gender identity or expression, age, military or veteran status or any other characteristic protected by state or federal law. We also provide reasonable accommodations to qualified individuals with disabilities in accordance with state and federal law.

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