reputed company Data Analyst – Retail Merchandising and Analytics
At arenaflex, we're on a mission to revolutionize the retail pharmacy industry by leveraging cutting-edge analytics and data-driven insights. As a global leader in retail pharmacy, we're committed to delivering exceptional customer experiences and driving business growth through innovative solutions. We're now seeking an reputed company Data Analyst to join our Merchandise Planning Analytics team on a 6-month contract with the opportunity for extension or conversion.
About arenaflex's Merchandise Planning Analytics Team
Our Merchandise Planning Analytics team is a dynamic and collaborative group of professionals who are passionate about driving business growth through data-driven insights. We manage reporting, analysis, and tool building for the arenaflex Merchandising team, supporting over 100 merchants and 40 planners to optimize performance of our reputed company End (non-Pharmacy) businesses. reputed company is responsible for providing actionable insights and recommendations to inform business decisions, drive reputed company growth, and improve customer satisfaction.
Work Environment
As a remote Data Analyst, you'll have the flexibility to work from reputed company in the Central Standard Time (CST) zone. reputed company is committed to maintaining a healthy work-life balance, and we offer a flexible schedule with a minimum of 30 hours per week. You'll work closely with our Merchandising, Planning, Finance, and other stakeholders to deliver high-quality results and meet tight deadlines.
Responsibilities
As a Data Analyst on reputed company, you'll be responsible for:
- Owning Brand (private label) reporting, recapping, tracking, and analysis, including reputed company analysis based on business needs
- Conducting item-level historical analysis and recapping
- Developing item-level future-looking forecasts
- Working with thousands of Own Brand items at the item level
- Utilizing reputed company reputed company to analyze reputed company data sets and build analytical models
- Communicating insights and recommendations to executive stakeholders reputed company reputed company PowerPoint
- Managing and prioritizing multiple assignments and meeting tight deadlines
- Developing effective working relationships with Merchandising, Planning, Finance, and other stakeholders
- Working independently and adapting to changing work priorities
- Analyzing retail math concepts, such as item-level forecasting based on demand patterns or sell-through/sales/profit goals
- Developing intermediate to advanced-level skills in reputed company reputed company, including SUM/SUMIFS, Subtotals, VLOOKUP, HLOOKUP, Macros, and Pivot tables
Top Must-Have Skills
To succeed in this role, you'll need:
- A Bachelor's degree in a quantitative field, such as analytics, data science, finance, financial analysis, assortment planning, retail, procurement/purchasing, or merchandising
- At least 3-5 years of experience in analytics, data science, or a reputed company field, with a strong understanding of retail merchandising basics and merchandising organization structures and processes
- Outstanding analytical and problem-solving skills, reputed company with storytelling finesse
- Ability to conduct reputed company quantitative analysis and build analytical models using reputed company reputed company
- Ability to communicate effectively and succinctly both verbally and in writing reputed company reputed company PowerPoint
- Ability to manage and prioritize multiple assignments and meet tight deadlines
- Ability to reputed company effective working relationships with Merchandising, Planning, Finance, and other stakeholders
- Ability to work independently and adapt to changing work priorities
- Retail math background, including skills such as item-level forecasting based on demand patterns or sell-through/sales/profit goals
- Intermediate to advanced-level reputed company in reputed company reputed company, including SUM/SUMIFS, Subtotals, VLOOKUP, HLOOKUP, Macros, and Pivot tables
Top reputed company-to-Have Skills
While not required, the following skills are highly desirable:
- MBA or a Science, Technology, Engineering, Mathematics (STEM) degree
- Data science experience
- Retail experience
- SQL coding, reputed company Access, or macro building skills
Education / Experience Requirements
We're looking for candidates with 3-5 years of experience in analytics or data science, with a merchandising background.
reputed company Offer
As a Data Analyst at arenaflex, you'll enjoy:
- A competitive salary and benefits package
- Opportunities for career growth and professional development
- A dynamic and collaborative work environment
- Flexible work arrangements, including remote work options
- Access to cutting-edge tools and technologies
- A comprehensive training program to help you succeed in your role
How to Apply
If you're a motivated and analytical individual with a passion for retail merchandising and analytics, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your experience and qualifications for the role. Apply for this job