**Experienced Full Stack Data Analyst – Inventory Network Insights and Business Intelligence**

At arenaflex, we're on a mission to revolutionize the way we approach data-driven decision-making. As a seasoned data analyst, you'll play a pivotal role in unraveling complex insights from our vast inventory network, empowering our business leaders to make informed, data-backed choices. If you're passionate about extracting meaningful stories from data, collaborating with cross-functional teams, and driving business growth, we want to hear from you.

• *About arenaflex**

arenaflex is a leading innovator in the retail industry, dedicated to providing exceptional customer experiences and driving business excellence. With a rich history of innovation and a commitment to excellence, we're constantly pushing the boundaries of what's possible. Our team of passionate professionals is united by a shared vision: to create a better future for our customers, employees, and communities.

• *Job Summary**

We're seeking an experienced full stack data analyst to join our team, working remotely from the comfort of your own home. As a data analyst at arenaflex, you'll be responsible for executing existing reporting and analytical tasks, leveraging data analysis tools to create new dashboards, reports, and ad-hoc requests, and fostering additional technical capabilities within our team. If you're a detail-oriented, analytical thinker with a passion for storytelling, we encourage you to apply.

• *Key Responsibilities**

• **30%**: Execute existing reporting and analytical tasks, ensuring timely and accurate delivery of insights to business stakeholders.
• **20%**: Utilize data analysis tools to create new dashboards, reports, and ad-hoc requests, driving business growth and informing strategic decisions.
• **20%**: Ensure the quality of work output by demonstrating a keen attention to detail, identifying areas for improvement, and implementing process enhancements.
• **20%**: Foster additional technical capabilities and topic expertise within our team, staying up-to-date with industry trends and emerging technologies.
• **10%**: Present findings in easily digestible formats, focusing on how data analysis contributes to the overall business strategy.

• *Direct Supervisor/Direct Reports**

• This position reports to a supervisor.
• This position has no immediate reports.

• *Travel Requirements**

• Regularly requires temporary travel under 10% of the time.

• *Physical Requirements**

• Most time is spent sitting in a comfortable position, with continuous opportunities to move about.
• Occasionally, there may be a need to move or lift light objects.

• *Working Conditions**

• Located in a comfortable indoor environment, with rare and non-offensive situations.

• *Essential Qualifications**

• Bachelor's degree in a quantitative field, such as software engineering, mathematics, computer science, or economics.
• 2 years of work experience in data mining, statistical analysis, evaluation, and estimation.
• Prior experience in analyzing significant topics, such as inventory networks, marketing, or operations.

• *Preferred Qualifications**

• Work experience with SQL Server, Teradata, Prophet, or similar data set frameworks.
• Familiarity with data visualization tools, such as Tableau or Power BI.
• Experience with machine learning algorithms and predictive modeling.
• Strong communication and presentation skills, with the ability to distill complex insights into actionable recommendations.

• *What We Offer**

• Competitive salary of $27/hour.
• Opportunities for career growth and professional development.
• Collaborative and dynamic work environment.
• Flexible remote work arrangements.
• Comprehensive benefits package, including health insurance, retirement savings, and paid time off.

• *How to Apply**

If you're a motivated and detail-oriented data analyst with a passion for storytelling, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your experience, skills, and qualifications. We can't wait to hear from you!