🛠 Tech Stack

💼 About This Role

You'll contribute to high-quality analytics projects for international clients across Auto, Beauty, Retail, and Financial Services, using Marketing Mix Modelling and statistical models to turn data into actionable insights. You'll gain hands-on experience with Python, R, and SQL, working closely with senior analysts and managers in a hybrid London office.

🎯 What You'll Do

• Clean and prepare data from multiple sources using Python, R, SQL, or Excel.
• Build and apply statistical and predictive models including MMM and Bayesian methods.
• Develop dashboards and visualizations to communicate insights to clients.
• Participate in client meetings to translate analytical outputs into recommendations.

📋 Requirements

• 1–3 years of professional experience in analytics or data science.
• Proven hands-on experience with Marketing Mix Modelling (MMM).
• Bachelor’s or Master’s degree in Statistics, Econometrics, Data Science, or related field.
• Strong technical proficiency in Python, R, or SQL.

✨ Nice to Have

• Experience with Databricks, Azure, or other cloud/data platforms.
• Willingness to learn visualization tools like PowerBi and Tableau.

🎁 Benefits & Perks

• 💰 Competitive salary with £40k-£55k + 10% bonus.
• 🏖️ 25 days annual leave plus bank holidays and extra days for tenure.
• 🏢 Hybrid working (2 days in office, 20 days remote from anywhere).
• 📚 Access to Eki.Academy for training and career development.
• 🌍 International client exposure across multiple industries.