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

Remote Full-time Live

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! Apply for this job

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