

Optimisation Data Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Optimisation Data Analyst on a 3-month contract, paying £400-£450 per day. It requires 3-5 years of analytics experience in trading or e-commerce, strong SQL and Python skills, and expertise in pricing optimization and A/B testing. Hybrid London location.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
450
-
🗓️ - Date discovered
June 24, 2025
🕒 - Project duration
3 to 6 months
-
🏝️ - Location type
Hybrid
-
📄 - Contract type
Outside IR35
-
🔒 - Security clearance
Unknown
-
📍 - Location detailed
London, England, United Kingdom
-
🧠 - Skills detailed
#Migration #Azure #Statistics #Microsoft Power BI #Regression #Data Wrangling #Clustering #Python #SQL (Structured Query Language) #BI (Business Intelligence) #AWS (Amazon Web Services) #NumPy #Cloud #Pandas #Tableau #A/B Testing #Data Analysis
Role description
Heading 1
Heading 2
Heading 3
Heading 4
Heading 5
Heading 6
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
Block quote
Ordered list
- Item 1
- Item 2
- Item 3
Unordered list
- Item A
- Item B
- Item C
Bold text
Emphasis
Superscript
Subscript
Senior Data Analyst - Contract
Outside IR35 | £400-£450 per day | 3-month initial term | Hybrid London (2-3 days on-site)
What you'll tackle
• Analyse client demand & respondent behaviour to spot revenue, margin and completion-rate gains.
• Build regression, clustering and causal models for pricing, yield and segmentation.
• Produce dashboards/BAU reports tracking incentive spend, survey health and profit drivers.
• Design & interpret A/B tests on incentives and matching logic; recommend refinements.
• Turn insights into pricing rules, contract tweaks and product changes alongside Commercial, Product and Engineering.
Tech toolkit
Python (pandas, NumPy, scikit-learn) · SQL · Azure (migration in flight) · BI (Power BI/Tableau useful).
Ideal background
• 3-5 yrs (Minimum) analytics in trading, marketplace, media or e-commerce settings.
• Strong SQL and Python for big-data wrangling & modelling.
• Solid grasp of statistics, pricing or yield optimisation.
• Clear, concise communicator who can translate numbers into action.
• Curious mindset-happy to reverse-engineer legacy logic and propose smarter approaches.
Desired Skills and Experience
Key experience & expertise
3-5 yrs analytics in high-volume trading, marketplace, media or e-commerce settings
Advanced SQL + Python (pandas, NumPy, scikit-learn) for large-scale data wrangling & modelling
Hands-on pricing / yield optimisation and causal analysis (regression, clustering, uplift)
Cloud data workflows on AWS or Azure (preferably mid-migration projects)
Designing, running and interpreting A/B tests on incentive and matching logic
Stakeholder-facing: translating analytical findings into contract, pricing and product changes