🌍 Remote | Freelance | Flexible Hours

We’re looking for a Data Analyst who can turn complex datasets into clear, actionable strategies that drive real business outcomes. You’ll be at the heart of decision-making across pricing, product strategy, logistics, and customer analytics. Owning the end-to-end process from data exploration to model deployment.

✅ What You'll Do

- Advanced Pricing & Elasticity Modelling

• Build predictive models to estimate price elasticity by country, product, and customer segment
• Simulate pricing scenarios and develop recommendation systems for dynamic pricing
• Quantify revenue and margin impact of pricing strategies

- Product & Margin Intelligence

• Develop machine learning frameworks to detect low-margin, high-volume product traps
  
• Create scoring systems to assess product profitability and pricing effectiveness
  

- Customer Segmentation & LTV Forecasting

• Apply clustering algorithms (e.g., K-Means, DBSCAN) for behavioural segmentation
  
• Build models to forecast Customer Lifetime Value (LTV) and churn
  
• Translate segmentation into marketing and CRM strategies

- Funnel Optimization & Conversion Prediction

• Analyze customer behavior across the funnel (visit → cart → checkout)
  
• Model drop-off rates and recommend UX or performance improvements
  

- Campaign Effectiveness & Promotion Analytics

• Measure the impact of discount campaigns and evaluate cannibalization effects
  
• Analyse short-term vs. long-term trade-offs in promotional strategies
  

- Logistics, Transport & Returns Analysis

• Predict delivery delays and return probability by product and carrier
  
• Recommend logistics improvements based on cost and satisfaction metrics
  
• Analyse drivers of returns (e.g., sizing, bundling) and propose pre-emptive actions

- Forecasting & Demand Modelling

• Implement and maintain time-series models for inventory and sales forecasting
  

- Tooling & Automation

• Develop reusable scripts and tools in Python for analysis and reporting
  
• Optimize data pipelines for real-time or scheduled decision support
  

- Cross-Team Collaboration

• Partner with Ops, Product, Marketing, and Finance teams
  
• Act as a strategic thought partner, translating data into decisions
  
• Communicate technical insights clearly to non-technical stakeholders

✅ Your Profile

• 3+ years of experience in Data Science (ideally in eCommerce or retail)
• Strong command of Python (Pandas) and SQL
• Experience with Ruby on Rails is a strong plus
• Skilled in statistical modelling, machine learning, and predictive analytics
• Experience working with large datasets (BigQuery, Snowflake, etc. is a plus)
• Proficient with BI tools such as Looker Studio
• Fluent in English (French is a plus)

✅Contract Details

• Freelance
• Part-time (2–3 days per week)
• Remote

If you're passionate about turning data into impact, and thrive in a fast-paced, cross-functional environment — we’d love to hear from you.

Apply now and help shape the future of data-driven eCommerce ✨