Details
Job Title: Data Operations Analyst
Job Location: Chicago, IL (Hybrid)
Requirements: Bachelor's degree in a quantitative field (statistics, economics, data analytics, data science, computer science, mathematics, etc)
Company Summary
Based in downtown Chicago, IL, Trajektory is an innovative data insights and valuation technology start-up with a unique take on how to leverage and value sponsorship data throughout the sports, media, and entertainment industries. Trajektory was founded by a group of former industry executives throughout the sports, media, and entertainment industries. Culture is a major priority, as both personal and professional development is a top priority for the company’s leadership team.
Our mission is to provide stress-free data management that visualizes, assesses, and accurately values your partnership data in real-time. Our tools help groups better activate sponsorships by saving them time with our automated data-cleaning technology and provide unparalleled insights with our advanced demographics and proprietary valuation methodology.
If you’re looking for an opportunity to make a difference in an exciting industry through tackling unsolved problems at a high growth start up, this may be the right fit for you.
Key Responsibilities
- Using automated tools to extract data from primary and secondary sources
- Performing analysis to assess the quality and meaning of data
- Drive innovation and new product ideation to better help customer insights delivered from data
- Develop complex analysis and delivery of data insights
- Create dashboards and reporting for to share data insights internally
- Streamline data flow from start to finish for many key assets of our customers
- Working with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and devise data governance strategies.
- Using statistical tools to identify, analyze, and interpret key metrics for valuation within data
Qualifications
- Bachelor's degree in a quantitative field (statistics, economics, data analytics, data science, computer science, mathematics, etc)
- Strong understanding of data and data analysis
- Proficient in Microsoft and Google Suite
- Experience using SQL
- Ability to efficiently manipulate and wrangle data in a streamlined manner
- Strong attention to detail
- Proficiency with data analytics or statistics
- Strong interpersonal and communication skills
- Proactive mindset & a willingness to take on a range of projects
- Humble, diligent, and resourceful
- Passionate about the intersection of sports and business
- Proficient in Microsoft and Google Suite
- Willingness and eagerness to learn
Nice to have
- Beginner to intermediate programming skills (Python, JavaScript)
- Experience using ETL software
- Experience creating dashboards
- Experience creating UML diagrams