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

Join arenaflex, a leading retail giant, in a dynamic and innovative role that combines data analysis, business acumen, and technical expertise. As an Experienced Full Stack Data Analyst, you will play a critical role in driving business growth and decision-making through data-driven insights. With a competitive salary of $27/hour and a remote work arrangement, this opportunity offers the perfect blend of flexibility and career advancement.

About arenaflex

arenaflex is a renowned retail company that has been revolutionizing the way people shop and live. With a strong commitment to innovation and customer satisfaction, arenaflex has established itself as a leader in the industry. Our company culture values collaboration, creativity, and continuous learning, making it an ideal workplace for professionals who thrive in a dynamic and supportive environment.

Job Summary

As an Experienced Full Stack Data Analyst, you will be responsible for analyzing complex data sets, identifying trends and patterns, and developing actionable insights to inform business decisions. You will work closely with cross-functional teams to drive business growth, improve operational efficiency, and enhance customer experience. With a strong focus on data-driven decision-making, you will play a critical role in shaping the future of arenaflex.

Key Responsibilities

* Execute existing reporting and analytical tasks (30%) + Develop and maintain reports, dashboards, and data visualizations to support business decision-making + Analyze and interpret complex data sets to identify trends and patterns + Collaborate with stakeholders to understand business requirements and develop tailored solutions

• Use data analysis tools to create new dashboards, reports, and ad-hoc requests (20%)

+ Develop and maintain data models, data warehouses, and data marts + Design and implement data visualization tools to communicate insights effectively + Collaborate with data scientists and engineers to develop predictive models and machine learning algorithms

• Ensure the quality of work output by demonstrating a keen attention to detail (20%)

+ Develop and maintain data quality metrics and dashboards + Collaborate with data engineers to develop and implement data governance policies + Participate in data quality audits and ensure compliance with industry standards

• Foster additional technical capabilities and domain expertise within the core functional team (20%)

+ Develop and maintain technical documentation and knowledge bases + Collaborate with subject matter experts to develop and maintain domain-specific knowledge + Participate in training and development programs to enhance technical skills and domain expertise

• Present findings in easily understood ways, focusing on how the data analysis fits into the overall plan (10%)

+ Develop and maintain business cases and ROI analyses + Collaborate with stakeholders to develop and implement data-driven solutions + Participate in business reviews and presentations to communicate insights and recommendations

Direct Supervisor/Direct Reports

* This position reports to a Supervisor

• This position has no immediate reports

Travel Requirements

* Regularly requires less than 10% of the time for temporary travel

Physical Requirements

* Most of the time is spent sitting in a comfortable position, and there is continuous opportunity to move about

• Occasionally, there may be a need to move or lift light objects

Working Conditions

* Located in a comfortable indoor area

• Any disturbing circumstances would be rare and not hazardous

Essential Qualifications

* Work experience with SQL Server, Teradata, Prophet, or similar data set frameworks

• 2 years of work experience in data mining, statistical analysis, evaluation, and estimation
• Earlier direct involvement in analyzing significant topics (e.g., Inventory network, Marketing, Projects, etc.)
• B.S. in Software engineering, Math, Designing, Finance, or related quantitative field

Preferred Qualifications

* Experience with data visualization tools (e.g., Tableau, Power BI, D3.js)

• Familiarity with machine learning algorithms and predictive modeling
• Experience with cloud-based data platforms (e.g., AWS, Azure, Google Cloud)
• Certification in data science, data engineering, or related fields

What We Offer

* Competitive salary of $27/hour

• Remote work arrangement with flexible hours
• Opportunities for career growth and professional development
• Collaborative and dynamic work environment
• Comprehensive benefits package, including health insurance, retirement plan, and paid time off
• Access to cutting-edge technology and tools
• Recognition and rewards for outstanding performance

How to Apply

If you are a motivated and detail-oriented professional with a passion for data analysis and business acumen, we encourage you to apply for this exciting opportunity. Please submit your resume and cover letter to [arenaflex careers page](https://arenaflex.com/careers). We look forward to hearing from you! Apply for this job