A market-leading agency specialising in working with clients to gain in-depth knowledge into their entire marketing life cycle and make better, faster and smarter decisions. Specialising in econometric research they also use highly advanced techniques such as regression modelling and machine learning to understand their clients’ market position and brand recognition.
This is a company that recognised their value is in their workforce and as such there are excellent training programmes and a real emphasis on a strong work-life balance.
The Role
Working in a highly collaborative environment you will be playing a key leadership role on end to end projects that will help your clients understand how effective the marketing life cycle is. You will work to understand client needs, gather data and conduct in depth analysis, and deliver insights back to clients. This could be focused on anything from how different marketing channels interact, to understanding customer behaviour and journeys.
This role will be largely working with econometric techniques, but you will also be undertaking other statistical modelling techniques such as regression and attribution, as well as other machine learning approaches. There is extensive training available in these various areas, and is a great learning environment.
Tools and technologies used within the role will primarily be Python and SQL.
We’re Looking For:
- Strong analytical skills with 1+ years econometric analysis experience
- A good communicator with experience working with stakeholders
- Minimum 2.1 degree (or equivalent) in a STEM subject
- Some knowledge or experience with statistical packages such as R, Python, SAS (or SQL)
Job Owner: d.prosser
