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- Tasks: Support data-driven storytelling and collaborate on analytical projects.
- Company: Join OMD’s Decisions Science team, a leader in marketing analytics.
- Benefits: Enjoy a flexible hybrid working model and tailored working hours.
- Other info: Dynamic team environment with opportunities for professional development.
- Why this job: Grow your analytical skills while making a real impact for top clients.
- Qualifications: Background in analytics or econometrics with strong statistical skills.
The predicted salary is between 30000 - 40000 £ per year.
About the Role OMD’s Decisions Science team plays a vital role in ensuring that our clients realise the full potential of their marketing investment for maximum growth. This role is for someone with a background in analytics or econometric modelling who wants to grow their capabilities and develop their career. It will suit a candidate who is passionate about data and analytics, wants to apply early career skills to real world business questions, and has an ambition to learn and grow in a collaborative team that takes a creative approach to analytic problem solving. Econometrics remains the bedrock of marketing science, but we are always extending the capabilities and outputs of what we deliver to our clients. We will work with you to develop your technical and professional skills as you work on live projects for some of the most interesting clients in the industry.
Responsibilities
- Support senior team members in telling stories with data within presentations and through supporting the delivery of data handling, econometric modelling, and analytical projects.
- Ensure delivery is technically robust and that all outputs from analysis are fit for purpose, consistent, and accurate.
- Develop relationships across the agency and broader analytics community to learn about clients’ businesses and drive insights.
- Collaborate with other specialist services, agency teams, and wider analytics teams to feed into the development of new approaches and techniques.
Qualifications & Skills
- Background in analytics or econometric modelling.
- Strong analytical and statistical skills, with experience in econometrics.
- Proficiency in a mix of tools: R, SQL, Python, Excel, PowerPoint, and other relevant approaches.
- Ability to present insightful stories with data and deliver results to deadline.
- Organised, self‑motivated, proactive, and able to work in a fast‑paced agency environment with multiple stakeholders.
- Willingness to ask for help when needed and collaborate with cross‑functional teams.
Benefits
- Flexible working model: hybrid schedule with three days in office and two days working remotely.
- Standard working hours are 9:30–17:30, with flexibility around core hours of 10:30–16:30.
- Employees can adjust start and finish times to suit personal and professional needs.
Analyst - MMM/Econometrics employer: OMD UK
Contact Detail:
OMD UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analyst - MMM/Econometrics
✨Network Like a Pro
Get out there and connect with people in the industry! Attend events, join online forums, or even reach out to alumni from your university. Building relationships can open doors and give you insights into job opportunities that aren't advertised.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back on showcasing your analytical skills. Bring examples of your work, whether it’s a project or a case study, and be ready to discuss how you tackled challenges using data.
✨Tailor Your Approach
Every company is different, so make sure you tailor your conversations to fit their culture and needs. Research the company beforehand and think about how your skills in econometrics can specifically benefit them. This shows you're genuinely interested!
✨Apply Through Our Website
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 the initiative to engage directly with us.
We think you need these skills to ace Analyst - MMM/Econometrics
Some tips for your application 🫡
Show Your Passion for Data: When you're writing your application, let your enthusiasm for data and analytics shine through. We want to see that you’re not just skilled but also genuinely excited about using data to solve real-world business problems.
Tailor Your Experience: Make sure to highlight your background in analytics or econometric modelling. We love seeing how your skills with tools like R, SQL, or Python can contribute to our team. Don’t just list your experience; connect it to the role!
Tell a Story with Your Application: Just like we do with data, your application should tell a compelling story. Use examples from your past work to illustrate how you've tackled challenges and delivered results. This will help us see how you think and approach problem-solving.
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. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at OMD UK
✨Know Your Data Tools
Make sure you're familiar with the tools mentioned in the job description, like R, SQL, and Python. Brush up on your skills and be ready to discuss how you've used these tools in past projects or coursework.
✨Tell a Story with Data
Prepare to showcase your ability to present data insights effectively. Think of examples where you've turned complex data into compelling narratives. Practise explaining your findings clearly and concisely, as this will be crucial for the role.
✨Show Your Collaborative Spirit
This role emphasises teamwork, so be ready to discuss your experiences working in groups. Highlight instances where you’ve collaborated with others to solve problems or deliver projects, and express your enthusiasm for learning from colleagues.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to analytics and econometrics. This shows your genuine interest in the role and helps you understand how you can contribute to their goals while also learning and growing in the position.