Samsung Warehouse Data Analyst
$30 per hour2020 Companies
Samsung Warehouse Data Analyst We are seeking a detail-oriented Samsung Warehouse Data Analyst to support daily warehouse operations through reporting, data analysis, purchasing coordination, and process‑improvement initiatives. This role will work closely with warehouse leadership to provide actionable insights, monitor operational performance, manage vendor purchasing, and drive efficiency across warehouse functions. The ideal candidate is highly organized, data‑driven, and experienced in warehouse operations, supply chain processes, and business systems, including SAP and WMS platforms. What We Offer Receive $30.00 per hour, paid weekly Next day pay on demand with DailyPay Health/Dental/Vision benefits 401K Program with matching Paid Time Off Paid Holidays Scholarship opportunities for employees and direct family members Employee Assistance Program Leadership Development Program Job Description Prepare and maintain reports and operational data to support daily warehouse operations and identify opportunities for process improvements Generate both scheduled and ad hoc reports based on operational needs and leadership requests Collaborate with warehouse managers and supervisors to ensure accuracy and integrity of operational data Present findings and operational insights to warehouse and operations leadership to support business decisions Monitor, analyze, and track key performance indicators (KPIs) to evaluate warehouse performance and operational effectiveness Create and manage purchase orders for vendors based on operational demand and inventory needs Collect, review, verify, and submit vendor invoices within N-ERP for payment processing Prepare monthly and quarterly reporting related to warehouse expenses, inventory usage, and operational spending Analyze warehouse expenditures and identify opportunities for cost reduction and operational efficiencies Assist with planning, implementing, and monitoring corrective actions to ensure operational issues are resolved effectively Support continuous improvement initiatives within warehouse and supply chain operations Minimum Qualifications Bachelor's degree in business, Supply Chain Management, or related field; equivalent work experience may be considered Minimum of 3 years of experience in customer support, warehouse operations, or supply chain environments Strong quantitative, analytical, and problem‑solving skills with exceptional attention to detail and accuracy Experience working with SAP, WMS, or similar business and warehouse management systems Advanced Microsoft Excel skills, including Pivot Tables, VLOOKUPs, formulas, and data analysis functions Proficiency with Microsoft Office Suite Preferred Qualifications Advanced Excel proficiency, including complex formulas, reporting automation, and data analysis tools Experience within High Tech, Telecommunications, or Consumer Electronics industries Experience supporting warehouse operations and supply chain analytics in a fast‑paced environment Skills & Competencies Strong organizational and time management skills Ability to manage multiple priorities and meet deadlines Effective communication and collaboration skills High level of professionalism and accountability Ability to interpret data and provide actionable recommendations Process improvement mindset with strong attention to operational efficiency Work Environment Primarily office‑based within a warehouse environment Collaboration with warehouse operations and cross‑functional teams required Equal Employment Opportunity We are committed to creating a diverse and inclusive organization and are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other dimensions of identity. #J-18808-Ljbffr 2020 Companies
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- Job Title Bachelor's or Master's degree in Statistics or Applied Mathematics or equivalent experience 6- 10 years' Data Analysis experience Proficient in SQL Proficient in Databricks Proficient in Python Good knowledge in Accounting and Finance
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