Requirements

• 2 – 3 years of experience as a data analyst (or equivalent proven work/projects) with business-facing outputs.
• ⁠Strong SQL skills: joins, window functions, CTEs, aggregations, performance awareness.
• Solid Python for data work (pandas/NumPy typical): cleaning, transformations, reproducible analysis.
• Comfort with messy data and ambiguity: you can identify issues, propose fixes, and quantify uncertainty.
• Strong data storytelling: you can contextualize results, explain trade-offs, and communicate clearly to non-technical audiences.
• Experience owning dashboards/recurring reporting (definitions, QA, maintenance, stakeholder trust).
• Excellent problem-solving abilities and attention to detail.
• Strong communication skills and the capability to work collaboratively across teams.

Responsibilities

• Analyze supply chain data (orders, inventory, logistics, lead times, suppliers, forecasting inputs) to answer business questions and surface trends.
• Write and optimize SQL to extract, join, and validate data across multiple sources.
• Use Python to clean and prepare datasets (missing values, outliers, deduping, entity matching), and to automate recurring analyses.
• Build and maintain data transformations (consistent definitions, reusable models, documentation, testing/validation checks).
• ⁠Maintain dashboards and visualizations (metric definitions, filters/segments, drill-downs, reliability).
• Develop KPIs and reporting.
• Prepare presentations and narratives for stakeholders: what happened, why it matters, what to do next.
• Partner with stakeholders to improve data quality and instrument better data capture over time.

Will Make a Difference

• Supply chain domain familiarity (inventory planning, procurement, demand planning, logistics, warehousing).
• Experience with a BI tool (e.g., Power BI, Tableau, etc.) and dashboard best practices.
• Experience with transformation frameworks, data testing/monitoring, and basic data modelling.
• Statistical fundamentals (A/B testing basics, forecasting concepts, segmentation/cohort analysis).
• ⁠Familiarity with ERP/MES/WMS data or integrating multiple operational systems.
• Familiarity with meat production/processing concepts such as:
• Yield and variance, trim/by-products, grading, weight/units normalization.
• Batch/lot traceability, shelf-life, spoilage/shrink.
• ⁠Production planning, downtime/line performance, cold storage constraints.

Required experience: 2 – 3 years

Project period: ASAP, long-term, min 12 months extendable for another year. Part-time is possible for the first month, afterwards a full-time engagement is expected.

Type of engagement: It is a long-term and full-time freelance contract.

Hourly pay:
25 EUR / hour (for part-time)
30 EUR / hour (for full-time)
possible to grow depending on the quality and delivery

Methodologies: Agile / Scrum

Level of English: Good; Talking, Reading, and Writing

Place of work: remote home office, for the client in Norway

Apply on: office@volito.digital