Data Analyst at Revlogical LLC

Liberty, Missouri, United States -

Full Time

Start Date

Immediate

Expiry Date

02 Jan, 26

Salary

55000.0

Posted On

04 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Excel, BI Tools, Data Management, Data Analysis, Problem Solving, Communication, Statistical Analysis, Predictive Modeling, Retail KPIs, Supply Chain, Warehouse Operations, Automation, Data Pipelines, E-commerce Data, Omnichannel Operations

Industry

Retail

Description

Description Retail Rebel is a fast-paced, rapidly growing company dedicated to delivering exceptional products and services. With multiple locations across the mid-west and southeast, we prioritize innovation, teamwork, and a commitment to excellence. Our integrity, customer focus, and continuous improvement drive everything we do as we expand and evolve in a dynamic market. Join us as we shape the future and create lasting impact. This role is pivotal in driving data-informed decision-making across inventory management, logistics, sales, and customer behavior. The ideal candidate will transform raw operational and retail data into actionable insights that improve efficiency, optimize stock levels, enhance customer experiences, and support strategic business growth. Salary: $55,000 Per Year Location: Liberty, MO Remote: No Sponsorships and relocation expenses are not offered Key Responsibilities: As a Data Analyst, your day-to-day duties may include and are not limited to the following: Data Management & Reporting Collect, clean, and validate data from warehouse management systems (WMS), retail POS systems, ERP, and other internal databases. Develop dashboards and reports to track KPIs such as sales performance, stock movement, shrinkage, and warehouse efficiency. Ensure accuracy and consistency in reporting across departments. Analytics & Insights Analyze trends in inventory, customer purchasing behavior, and sales performance to identify opportunities and risks. Monitor and forecast demand to support supply chain and merchandising decisions. Evaluate warehouse productivity metrics (order accuracy, pick/pack efficiency, turnaround time) and suggest improvements. Business Support Provide insights that help optimize product assortment, pricing, and promotional strategies. Partner with warehouse managers, retail operations, and finance teams to provide data-backed recommendations. Support decision-making with ad hoc analysis for executive leadership. Process Improvement Identify inefficiencies in warehouse and retail operations and propose data-driven solutions. Work closely with IT and operations teams to enhance data systems and automation. Requirements Strong proficiency in SQL, Excel, and BI tools (e.g., Power BI, Tableau, Looker). Solid understanding of retail KPIs, supply chain, and warehouse operations. Strong analytical, critical thinking, and problem-solving skills. Excellent communication skills – ability to present insights to both technical and non-technical stakeholders. Knowledge of statistical analysis and predictive modeling (Python, R preferred). Familiarity with retail e-commerce data and omnichannel operations. Education and Experience: Bachelor's degree in Data Analytics, Statistics, Business, Supply Chain, or a related field. 2+ years of experience in a data analyst role (retail or warehouse environment preferred). Experience working with ERP/WMS systems (e.g., SAP, Oracle, NetSuite, Manhattan). Experience with automation and data pipelines (ETL tools, APIs). Why Join Retail Rebel? Employee Referral Program. (1) week PTO in the first year of full-time employment; and increases thereafter. Medical, Dental, and Vision insurance coverage offered inside of 60 days. 401(k) with 3% Company match after 6 months. Weekly Pay. Retail Rebel is an equal opportunity employer and adheres to all federal and state employment laws.

Responsibilities

The Data Analyst will drive data-informed decision-making across inventory management, logistics, sales, and customer behavior. This role involves transforming raw operational and retail data into actionable insights to improve efficiency and support strategic business growth.