Impactful Supply Chain Data Scientist with Power BI

83Zero Ltd; Desford; On-site; GBP 40,000 - 47,000; Full time

Job summary

83Zero Ltd is seeking a Supply Chain Data Scientist to turn complex data into actionable insights across planning, logistics, transportation and packaging. You will build Power BI dashboards, automate reporting, and collaborate with stakeholders to improve supply chain outcomes.

The role emphasizes ownership, independence, and delivering data-driven solutions during an ERP transition. The successful candidate will analyse large datasets, utilize SQL, Python and Power Query, and contribute to

Qualifications

• Analyse large and complex datasets to uncover insights and opportunities.
• Build impactful Power BI dashboards and visualisations.
• Use SQL, Python and Power Query to manipulate and connect data.
• Automate manual processes and improve reporting capability.
• Work with stakeholders across the business to understand challenges and develop data-driven solutions.
• Support exciting supply chain projects, including an upcoming ERP transition.

Responsibilities

• Analyse large and complex datasets to uncover insights and opportunities.
• Build impactful Power BI dashboards and visualisations.
• Use SQL, Python and Power Query to manipulate and connect data.
• Automate manual processes and improve reporting capability.
• Work with stakeholders across the business to understand challenges and develop data-driven solutions.
• Support exciting supply chain projects, including an upcoming ERP transition.

Skills

Analytical thinking

Data visualization

Stakeholder management

Independent work

Excel

Tools

SQL

Python

Power Query

Power BI

Job description

83Zero Ltd is seeking a Supply Chain Data Scientist to turn complex data into actionable insights across planning, logistics, transportation and packaging. You will build Power BI dashboards, automate reporting, and collaborate with stakeholders to improve supply chain outcomes.

The role emphasizes ownership, independence, and delivering data-driven solutions during an ERP transition. The successful candidate will analyse large datasets, utilize SQL, Python and Power Query, and contribute to