Data Science Business Analyst

KennedyPearce Consulting
London
8 months ago
Applications closed

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KennedyPearce Consulting provided pay range

This range is provided by KennedyPearce Consulting. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

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Hybrid- 2 Days office based

Location- W.London

Bonus- Discretionary

The Role

You’ll be the go-to person for turning complex data into something useful. Whether that’s spotting customer trends, helping optimise marketing spend, improving the product funnel, or figuring out what we should be doing next.

We’re not short of data or tools, but we are looking for someone who can help us make smarter decisions, faster. You’ll work closely with product, marketing, leadership, and our technical teams, translating analysis into action across the business.

This is a role for someone who enjoys thinking beyond the dashboard, someone who’s just as comfortable building models as they are explaining them to non-technical stakeholders.

What You’ll Be Doing

  • Working closely with our existing data and engineering teams to build on what’s already in place
  • Digging into user journeys, customer behaviour, marketing performance, and commercial data
  • Developing segmentation, predictive models, and other approaches to surface meaningful insights
  • Running experiments and testing ideas to see what actually works
  • Supporting teams across the business to make decisions based on data, not hunches
  • Spotting opportunities to use data in ways we haven’t thought of yet

What We’re Looking For

  • A background in data science, analytics, or a related role, ideally with B2C or B2B2C experience
  • Someone who’s worked in travel, retail, or SaaS would be a strong fit, but we’re open
  • Strong SQL and Python or R skills
  • Comfortable using tools like Tableau, Power BI, or Looker to bring data to life
  • Confident working with marketing and customer data – especially if you’ve worked alongside commercial teams before
  • You don’t just answer questions, you find the right ones to ask

Bonus Points For

  • Experience with A/B testing and experimentation
  • Familiarity with tools like Google Analytics, Mixpanel, or CRM platforms
  • Exposure to forecasting or modelling customer lifetime value

Why This Role?

  • You’ll get to work in a business that’s ready to do more with its data – and wants your help to shape what that looks like
  • There’s real support and buy-in for data-led thinking across the company
  • You’ll have the freedom to try things, test ideas, and make a visible impact
  • You’ll join a friendly, ambitious team that’s growing fast and moving quickly
  • Competitive pay, bonus, private healthcare, flexible working, and a genuinely collaborative culture

Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionProduct Management
  • IndustriesTravel Arrangements and Retail

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