Senior Leader, Data, AI & Performance Analytics

Senior Leader, Data, AI & Performance Analytics

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Tandem Talent

At a Glance

  • Tasks: Lead a high-performing team in data analytics and AI to inspire customers.
  • Company: Cotswold Outdoor Group, a leader in outdoor retail.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Join a dynamic team and make a real impact in the outdoor industry.
  • Why this job: Shape the future of customer engagement through data-driven insights.
  • Qualifications: Experience in data analytics, AI, and team leadership required.

The predicted salary is between 60000 - 80000 £ per year.

Cotswold Outdoor Group is hiring a Senior Manager, Data, AI & Performance Analytics to shape how we inspire customers and support stores. This hybrid role requires three office days per week at Swindon and leads a high‑performing analytics and data science team.

You’ll own digital measurement, forecasting, attribution and performance modelling to connect investments with revenue. You’ll drive data literacy, champion AI, and deliver real‑time dashboards and insight across our eCommerce and

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Senior Leader, Data, AI & Performance Analytics employer: Tandem Talent

Tandem Talent is an exceptional employer that prioritises employee growth and development, offering a dynamic work culture where teamwork and customer satisfaction are at the forefront. Located in Leeds, our retail environment fosters creativity and innovation, providing competitive salaries, bonuses, and a range of benefits that ensure our staff feel valued and motivated to excel in their roles.

Tandem Talent

Contact Details:

Tandem Talent Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Leader, Data, AI & Performance Analytics

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Apply Directly through Our Website

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We think you need these skills to ace Senior Leader, Data, AI & Performance Analytics

Data Analytics
AI Implementation
Performance Modelling
Digital Measurement
Forecasting
Attribution Analysis
Data Literacy

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Tandem Talent, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Tandem Talent. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Tandem Talent

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

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Get Comfortable with Python and R

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Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.