Permanent Replenishment Analyst – Tekkie Town Vacancies
Job Description
Tekkie Town Vacancies – Replenishment Analyst
Job Purpose
Tekkie Town is seeking a Replenishment Analyst who is data-driven and passionate about optimizing stock levels to ensure products are always available for our customers. The successful candidate will play a critical role in the supply chain by analyzing sales data, forecasting demand, and collaborating with teams to maintain optimal inventory, minimize stockouts, and maximize sales opportunities.
Key Responsibilities
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Monitor and analyze inventory levels across all channels to maintain optimal stock.
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Develop accurate demand forecasts and model stock levels to guide purchasing decisions.
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Generate purchase orders based on replenishment plans and ensure timely delivery.
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Track key performance indicators and report insights to relevant stakeholders.
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Collaborate with operations, marketing, warehousing, and logistics teams to align product availability and promotional plans.
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Identify and troubleshoot inventory discrepancies, supply chain bottlenecks, or system errors.
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Propose and implement solutions to enhance replenishment processes and overall supply chain efficiency.
Qualifications & Experience
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Bachelor’s Degree or Diploma in Supply Chain Management, Logistics, Business Administration, Statistics, or a related field.
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1–3 years’ experience in replenishment, inventory planning, demand forecasting, or a similar analytical role (retail/FMCG preferred).
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Experience with inventory management and forecasting software (e.g., JE, Oracle, JDA, or similar ERP/MRP systems).
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Strong analytical skills and proficiency with large datasets and advanced planning tools.
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Knowledge of statistical forecasting methods, supply chain principles, and inventory management techniques.
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Strong skills in Google Suite (Sheets, VLOOKUP, pivot tables, advanced formulas) and business intelligence tools (e.g., Looker Studio).
Skills & Attributes
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Excellent communication and presentation skills.
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Exceptional attention to detail and accuracy in data analysis.
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Ability to work independently and as part of a team in a fast-paced, dynamic environment.
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Strong problem-solving skills with a proactive approach to challenges.
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