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- Tasks: Build predictive models and lead data analysis for marketing decisions.
- Company: Award-winning SaaS organisation transforming the SME marketplace.
- Benefits: Long contract, hybrid work, and free breakfast.
- Why this job: Join a global team and make impactful decisions with data.
- Qualifications: 5+ years in data analytics, advanced SQL skills, and a relevant degree.
- Other info: Dynamic environment with opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
Our client, an award-winning SaaS organisation providing software solutions to the SME marketplace, is now seeking an experienced Statistician / Data Modeller for a 12-month contract. You will be assisting in the company transition from correlation-based reporting to causal-based decision making, helping guide key marketing investment decisions. Central London location, hybrid, with 2-3 days a week in the office.
Responsibilities
- Forecasting: Build predictive models to simulate business outcomes under various economic and budgetary scenarios, acting as the "radar" for the marketing department.
- Serve as the analyst lead for the Data Clean Room (DCR) strategy, specifically within Meta Advanced Analytics (AA).
- SQL: Write and optimize advanced SQL queries.
- Learning Agenda & Causal Experimentation: Design and execute rigorous Conversion Lift Studies (CLS) and Brand Lift Studies (BLS).
Skills
- 5+ years of experience working in market science or data analytics teams or other relevant roles.
- B.Sc in a quantitative field (Economics, Statistics, Mathematics, Data Science).
- SQL: Advanced level. Ability to write complex CTEs, window functions, and optimize joins for distributed systems.
- Experience with Marketing Mix Models (MMM).
- Understanding of Bayesian inference, Adstock transformations, and saturation curves.
Useful experience
- Hands-on experience with at least one major DCR environment.
- Deep understanding of hypothesis testing, confidence intervals, p-values, and selection bias.
- Understanding of AdTech and paid media mechanics, margin profiles.
Benefits
- Global company, long contract.
- Hybrid role.
- Free breakfast.
Statistician and Data Modeler in London employer: EF Recruitment
Contact Detail:
EF Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Statistician and Data Modeler in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions related to data modelling and statistics. We recommend doing mock interviews with friends or using online platforms to get comfortable discussing your experience and skills.
✨Tip Number 3
Showcase your skills through projects! Create a portfolio of your work, especially any predictive models or analyses you've done. This will give you an edge and demonstrate your capabilities to potential employers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace Statistician and Data Modeler in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analytics and statistics. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects and achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Statistician and Data Modeller role. Share specific examples of your work with predictive models and SQL to grab our attention.
Show Off Your Technical Skills: Since this role requires advanced SQL skills, make sure to mention any complex queries or models you've built. We love seeing hands-on experience, especially with DCR environments and Marketing Mix Models!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at EF Recruitment
✨Know Your Stats
Brush up on your statistical knowledge, especially around hypothesis testing and Bayesian inference. Be ready to discuss how you've applied these concepts in past roles, particularly in relation to Marketing Mix Models.
✨SQL Skills on Display
Prepare to showcase your SQL prowess. Think of specific examples where you've written complex queries or optimised joins. You might even be asked to solve a problem on the spot, so practice writing advanced SQL queries beforehand.
✨Understand the Business Context
Familiarise yourself with the company's transition from correlation-based reporting to causal decision-making. Be prepared to discuss how your skills can help guide marketing investment decisions and improve forecasting accuracy.
✨Ask Insightful Questions
Prepare thoughtful questions about their Data Clean Room strategy and how they approach Conversion Lift Studies. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.