Junior-Mid Data Analyst

Volito; Norway; Remote; NOK 366,000 - 439,000; Part time

Job summary

Volito is seeking a data analyst for a long-term freelance engagement focused on supply chain analytics. You will analyze orders, inventory, and logistics data, write optimized SQL, and use Python to clean and prepare datasets.

You will build and maintain dashboards, define KPIs, and present narratives to stakeholders. This remote role is for a client in Norway with part-time to full-time engagement and hourly pay 25–30 EUR.

Qualifications

• 2–3 years of experience as a data analyst
• 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: identify issues, propose fixes, quantify uncertainty
• Strong data storytelling: contextualize results, explain trade-offs, communicate 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 ability 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 (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

Skills

SQL

Python (pandas/NumPy)

Data storytelling

Communication across teams

Problem solving

Tools

Power BI

Tableau

Job description

• 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