Experienced Full Stack Data Analyst – Transportation Analytics at arenaflex

Join arenaflex's Transportation Analytics crew as a key player in guiding the everyday operations of our logistics and supply chain management. As a Data Analyst, you will be responsible for extracting valuable insights from billions of data points, providing actionable recommendations to our customers, and driving business growth through data-driven decision making.

About arenaflex

arenaflex is a leading retail corporation that operates a chain of stores across the United States. With a strong commitment to innovation and customer satisfaction, arenaflex is constantly seeking talented professionals to join its team and contribute to its mission of providing the best shopping experience for its customers. As a Data Analyst in the Transportation Analytics crew, you will be part of a dynamic team that uses data science and analytics to drive business growth and improve operational efficiency.

Job Responsibilities

As a Data Analyst in the Transportation Analytics crew, you will be responsible for:

• Working with large, messy, disparate datasets and performing ad-hoc analyses to inform essential business decisions
• Creating ETLs or strategies that pull data from multiple sources and centralize it in a single table
• Developing data visualizations to display and quantify the impact of changes and specific business challenges
• Engaging with team members and cross-functional groups on a periodic basis to establish credibility and analyze stakeholder needs
• Partnering with Operations, Finance, and Product groups to ensure data accuracy, completeness, and latency across multiple operations and systems
• Leveraging scripting languages (Python preferred) to automate tasks for reporting (screenshots, metrics prioritization, and outlier recognition)
• Documenting strategies and sharing expertise with colleagues, mentoring them as you become a Subject Matter Expert

Key Qualifications

* Bachelor's degree in a relevant field (e.g., Computer Science, Mathematics, Statistics, or Business Administration)

• Excellent SQL skills, with the ability to govern data from multiple tables while maintaining data integrity (2-4 years of experience)
• Creativity with a User Experience basis to enhance impactful Tableau Dashboards (1-2 years of experience)
• Business Operations Fluency, with the ability to recognize and root out business problems (Supply Chain background, ideally with transportation experience)
• Excellent communication skills and ability to work cross-functionally

Preferred Qualifications

* 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.

Career Growth Opportunities and Learning Benefits

As a Data Analyst at arenaflex, you will have the opportunity to:

• Work with a talented team of data scientists and analysts to drive business growth and improve operational efficiency
• Develop your skills in SQL, Tableau, and scripting languages (Python preferred)
• Collaborate with cross-functional teams to ensure data accuracy, completeness, and latency across multiple operations and systems
• Participate in training and development programs to enhance your expertise and stay up-to-date with industry trends
• Mentor junior team members and share your expertise as a Subject Matter Expert

Work Environment and Company Culture

arenaflex is committed to creating a positive and inclusive work environment that fosters collaboration, innovation, and growth. As a Data Analyst, you will be part of a dynamic team that values:

• Diversity and inclusion
• Continuous learning and professional development
• Open communication and feedback
• Collaboration and teamwork
• Work-life balance and flexibility

Compensation, Perks, and Benefits

arenaflex offers a competitive compensation package, including:

• Hourly rate: $20-30/hour
• Incentive awards for performance
• 401(k) match
• Inventory buy plan
• Paid maternity and parental leave
• PTO
• Multiple fitness plans
• And more!

How to Apply

If you are a motivated and detail-oriented individual with a passion for data analysis and business growth, we encourage you to apply for this exciting opportunity. Please submit your resume and cover letter to [insert contact information]. We look forward to hearing from you! Apply for this job