Remote Supply Chain Data Analyst

Placements24; Kimberley; Hybrid; CAD 70,000 - 110,000; Full time

Benefits offered by this job

Fully remote

Professional development opportunities

Bonuses

Annual salary reviews

Autonomy

Job summary

Placements24 is seeking a highly skilled Remote Supply Chain Data Analyst to join a globally distributed team. You will collect, analyze, and interpret complex supply chain data to identify trends, inefficiencies, and opportunities for improvement, influencing procurement, inventory, logistics, and network design.

The role requires advanced SQL, Python (Pandas, NumPy), and visualisation tools (Tableau/Power BI/Looker).

Qualifications

• Minimum 5 years of experience in data analysis, preferably within a supply chain or logistics context.
• Advanced proficiency in data analysis and manipulation tools such as SQL, Python (Pandas, NumPy), or R.
• Expertise in data visualization tools (e.g., Tableau, Power BI, Looker).
• Strong understanding of supply chain principles, including inventory management, logistics, and procurement.
• Proven ability to translate complex data into actionable business insights.
• Excellent analytical, problem-solving, and critical thinking skills.
• Superior communication and presentation skills, capable of conveying insights to both technical and non-technical audiences.
• Demonstrated ability to work independently and manage multiple projects effectively in a remote setting.

Responsibilities

• Collect, clean, and organize large datasets from various supply chain sources (ERP, WMS, TMS, etc).
• Perform in-depth analysis of supply chain performance, including inventory levels, lead times, transportation costs, and supplier performance.
• Develop and maintain dashboards and reports to visualize key supply chain metrics and trends.
• Identify root causes of supply chain issues and propose data-driven solutions.
• Collaborate with supply chain managers, logistics teams, and other departments to understand data needs and provide analytical support.
• Conduct forecasting and predictive analysis to support inventory planning and demand management.
• Evaluate the effectiveness of implemented supply chain initiatives and recommend adjustments.
• Stay current with industry best practices and emerging technologies in supply chain analytics.
• Develop and document analytical methodologies and processes.
• Present findings and recommendations to stakeholders clearly and concisely through various communication channels.

Skills

SQL

Python (Pandas, NumPy)

R

Education

Bachelor's or Master's degree in Data Science/Statistics/Operations Research/Supply Chain Management

Tools

Tableau

Power BI

Looker

Job description

About the Role

Our client is seeking a highly skilled and experienced Remote Supply Chain Data Analyst to join their globally distributed team. This is a fully remote position requiring a proactive individual with advanced analytical capabilities and a deep understanding of supply chain operations. You will be responsible for collecting, analyzing, and interpreting complex supply chain data to identify trends, inefficiencies, and opportunities for improvement. Your work will directly influence strategic decisions related to procurement, inventory management, logistics, and network design. The ideal candidate possesses strong technical skills in data manipulation and visualization, coupled with excellent communication abilities to present findings to various stakeholders. This role demands a self-starter who can thrive in an independent, remote work environment and contribute to driving data-informed strategies across the organization. Your analysis will be pivotal in optimizing performance and reducing costs within the supply chain.

Key Responsibilities

• Collect, clean, and organize large datasets from various supply chain sources (ERP, WMS, TMS, etc).
• Perform in-depth analysis of supply chain performance, including inventory levels, lead times, transportation costs, and supplier performance.
• Develop and maintain dashboards and reports to visualize key supply chain metrics and trends.
• Identify root causes of supply chain issues and propose data-driven solutions.
• Collaborate with supply chain managers, logistics teams, and other departments to understand data needs and provide analytical support.
• Conduct forecasting and predictive analysis to support inventory planning and demand management.
• Evaluate the effectiveness of implemented supply chain initiatives and recommend adjustments.
• Stay current with industry best practices and emerging technologies in supply chain analytics.
• Develop and document analytical methodologies and processes.
• Present findings and recommendations to stakeholders clearly and concisely through various communication channels.

Requirements

• Minimum of 5 years of experience in data analysis, preferably within a supply chain or logistics context.
• Advanced proficiency in data analysis and manipulation tools such as SQL, Python (Pandas, NumPy), or R.
• Expertise in data visualization tools (e.g., Tableau, Power BI, Looker).
• Strong understanding of supply chain principles, including inventory management, logistics, and procurement.
• Proven ability to translate complex data into actionable business insights.
• Excellent analytical, problem-solving, and critical thinking skills.
• Superior communication and presentation skills, capable of conveying insights to both technical and non-technical audiences.
• Demonstrated ability to work independently and manage multiple projects effectively in a remote setting.
• A Bachelor's or Master's degree in Data Science, Statistics, Operations Research, Supply Chain Management, or a related quantitative field.
• Must have a reliable internet connection and a suitable home office environment.

Benefits

• Our client offers a highly competitive salary and a comprehensive benefits package, including premium medical aid and retirement fund contributions.
• This role is fully remote, offering exceptional work-life balance and flexibility.
• Extensive opportunities for professional development, including advanced training and certifications, are provided.
• The company fosters a collaborative and innovative remote culture.
• Performance-based bonuses and annual salary reviews are standard.
• This position offers significant autonomy and the chance to influence strategic supply chain decisions on a global scale.