Remote Warehouse Data Analyst

Placements24

Klerksdorp

Hybrid

ZAR 350,000 - 600,000

Full time

2 days ago
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Benefits offered by this job

Competitive salary
Performance bonus
Fully remote
Health benefits
Development budget
Analytics tools

Job summary

Placements24 is seeking a skilled Remote Warehouse Data Analyst to transform raw warehouse data into actionable insights, optimizing inventory, shipping, and overall warehouse performance. The role supports data-driven decision-making across South Africa with BI dashboards and reports.

The ideal candidate leverages SQL, Python or R for analysis and visualizes data with Tableau or Power BI, collaborating with logistics teams to drive efficiency and cost reductions.

Qualifications

  • Bachelor's degree in a quantitative field required.
  • Experience with SQL, Python or R for data analysis.
  • Experience visualizing data with Tableau or Power BI.

Responsibilities

  • Collect, clean, and organize large warehouse and logistics data.
  • Analyze data to identify trends and inefficiencies in inventory, shipping, and receiving.
  • Develop dashboards and reports to visualize KPIs and metrics.
  • Provide data-driven recommendations to optimize layouts and resources.
  • Collaborate with warehouse and logistics teams to deliver insights.
  • Stay updated on data analysis techniques for SCM warehousing.

Skills

SQL
Python (Pandas/NumPy)
R
Data visualization
Analytical thinking

Education

Bachelor's degree in Data Science, Statistics, Computer Science, Logistics, or related quantitative field

Tools

Tableau
Power BI

Job description

About the Role

Our client is seeking a skilled and analytical Remote Warehouse Data Analyst to join their team, working from anywhere within South Africa. This role is critical for transforming raw warehouse data into actionable insights that drive operational improvements and strategic decision-making. You will be responsible for collecting, analyzing, and interpreting complex data sets related to inventory, logistics, and warehouse performance. This position offers a unique opportunity to leverage data analytics to optimize efficiency, reduce costs, and enhance the overall performance of our client's extensive warehousing operations, with a focus on innovation and data-driven strategies.

Key Responsibilities
  • Collect, clean, and organize large volumes of warehouse and logistics data from various sources.
  • Analyze operational data to identify trends, inefficiencies, and areas for improvement in inventory management, shipping, and receiving.
  • Develop and maintain dashboards and reports using BI tools to visualize key performance indicators (KPIs) and operational metrics.
  • Provide data-driven recommendations to management for optimizing warehouse layouts, processes, and resource allocation.
  • Collaborate with warehouse managers and logistics teams to understand their data needs and deliver relevant insights.
  • Stay updated on the latest data analysis techniques and technologies relevant to supply chain and warehousing operations.
Requirements
  • Proven experience as a Data Analyst, preferably within a logistics or warehouse environment.
  • Strong proficiency in data analysis tools such as SQL, Python (with libraries like Pandas, NumPy), R, or similar.
  • Experience with business intelligence platforms like Tableau, Power BI, or similar for data visualization.
  • Excellent analytical, problem-solving, and critical thinking skills.
  • Ability to work independently and manage multiple projects effectively in a remote setting.
  • Bachelor's degree in Data Science, Statistics, Computer Science, Logistics, or a related quantitative field.
Benefits
  • Highly competitive annual salary with performance bonuses.
  • Fully remote position, allowing for flexible work location.
  • Comprehensive health and wellness benefits package.
  • Generous budget for professional development, certifications, and online courses.
  • Opportunity to work with cutting-edge data analytics tools and make a significant impact on business operations.
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