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.
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Build regression, clustering and causal models for pricing, yield and segmentation.
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Produce dashboards/BAU reports tracking incentive spend, survey health and profit drivers.
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Design & interpret A/B tests on incentives and matching logic; recommend refinements.
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Turn insights into pricing rules, contract tweaks and product changes alongside Commercial, Product and Engineering.
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.
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Strong SQL and Python for big-data wrangling & modelling.
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Solid grasp of statistics, pricing or yield optimisation.
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Clear, concise communicator who can translate numbers into action.
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Curious mindset-happy to reverse-engineer legacy logic and propose smarter approaches.
Contact Details:
Harnham - Data & Analytics Recruitment Recruitment Team
