**Experienced Full Stack Data Analyst – Transportation Analytics and Business Operations**
Posted 2026-05-06At arenaflex, we're on a mission to revolutionize the way we navigate the complexities of transportation and logistics. As a key member of our Transportation Analytics crew, you'll play a vital role in helping us make data-driven decisions that drive business growth and excellence. If you're a skilled data analyst with a passion for solving real-world problems, we want to hear from you!
- *About arenaflex**
arenaflex is a leading innovator in the logistics and transportation industry, dedicated to providing cutting-edge solutions that transform the way goods move around the world. Our team is comprised of talented professionals who share a common goal: to make a meaningful impact through data-driven insights and innovative thinking. As a data analyst at arenaflex, you'll be part of a dynamic and collaborative environment that fosters growth, learning, and creativity.
- *Responsibilities**
As a Full Stack Data Analyst, you'll be responsible for:
- Working with large, messy, disparate datasets to perform ad-hoc analyses and provide essential business insights
- Developing data visualizations to display and quantify the impact of changes and specific business challenges
- Engaging with cross-functional teams to establish credibility and analyze stakeholder needs
- Leveraging scripting languages (Python preferred) to automate reporting tasks and improve efficiency
- Documenting your approaches and sharing your expertise with colleagues
- Mentoring junior team members and becoming a Subject Matter Expert in data analysis and visualization
- *Key Qualifications**
To succeed in this role, you'll need:
- Excellent SQL skills, with the ability to govern data from multiple tables while maintaining integrity (2-4 years of experience)
- Creativity with a User Experience basis to develop impactful Tableau Dashboards (1-2 years of experience)
- Business Operations Fluency, with the ability to recognize and root-cause business problems (Supply Chain background, ideally with transportation experience)
- Excellent communication skills and the ability to work cross-functionally
- *Preferred Qualifications**
While not required, experience with the following would be a plus:
- Advanced experience with SQL and Tableau
- Experience with e-commerce operations or parcel service operations
- Experience with Python or other scripting languages
- Experience with data manipulation tools, including Knime, Alteryx, R, Tableau Prep, etc.
- *Benefits**
As a valued member of the arenaflex team, you'll enjoy a comprehensive benefits package, including:
- Competitive salary and bonus structure
- Incentive awards for outstanding performance
- 401(k) match and inventory buy plan
- Paid maternity and parental leave
- PTO and multiple fitness plans
- And many more perks and benefits!
- *Work Environment and Company Culture**
At arenaflex, we're committed to creating a work environment that's inclusive, collaborative, and supportive. Our team is passionate about innovation, learning, and growth, and we're always looking for ways to improve and adapt to changing business needs. As a data analyst, you'll have the opportunity to work with a talented team of professionals who share your passion for data-driven insights and business excellence.
- *Compensation and Perks**
arenaflex offers a competitive compensation package, including a salary range of $80,000 - $110,000 per year, depending on experience. In addition to a comprehensive benefits package, you'll also enjoy a range of perks and incentives, including:
- Incentive awards for outstanding performance
- 401(k) match and inventory buy plan
- Paid maternity and parental leave
- PTO and multiple fitness plans
- And many more perks and benefits!
- *How to Apply**
If you're a motivated and talented data analyst with a passion for solving real-world problems, we want to hear from you! Apply now to join our team and be part of a dynamic and collaborative environment that's shaping the future of logistics and transportation.