Graduate Econometric Analyst

Kanso Marketing • Full-time • Greater London, GB • 3m ago

Who we are

Kanso is a boutique marketing effectiveness consultancy.

We collaborate with some of the world’s best-known brands – helping them to understand the true impact of their marketing – working together to answer specific marketing-related questions and planning more effective marketing strategies.

We use techniques such as econometric modelling to build a detailed understanding of every marketing component and all the influencing factors. This is called Marketing Mix Modelling (MMM). We then relate what our models are showing us to what is happening in the real world. Using this deep insight, we work with clients to accurately forecast the impact of future campaigns.

Kanso analyses all elements of marketing, from the performance of brand and direct advertising, to price and promotional optimisation, to seasonal highs and lows in demand, all within the context of the wider world – from climate change to the rising cost of living.

Thoughtful, logical analysis is at the heart of what we do - we thrive on complex challenges, solving problems by exploring new ideas, advancing techniques and paying great attention to detail.

Despite the complexity of our work, our main aim is to communicate this analysis in an easily understandable and actionable way; enabling our clients to more effectively plan their marketing programmes and strategies.

We’d like you to join us in developing and adding to these approaches - we are looking for someone with an enquiring mind, a keen attention to detail, and who thrives on using data to solve marketing problems for our clients.

What you’ll be doing

The role of Graduate Analyst will be to support the rest of the team to produce outstanding marketing evaluation for our clients, including, but not limited to:

· Process data accurately and efficiently using Excel and R, using all the right checks to ensure consistency

· Conduct exploratory data analysis in Excel to uncover insights and ask the right questions

· Research and gather relevant publicly available data to support your analysis

· Formulate hypotheses about what might be driving sales, or other metrics of particular interest to the client

· Create clear and effective data visualisations to communicate thoughts and findings within the team

· Support the team in building models using EViews — there’s plenty to learn, and we don’t expect you to know it all yet

· Create clear, compelling PowerPoint slides to help tell a data-driven story and start to present sections of presentations to clients

· Complete formal training to build your technical, analytical and communication skills

· Help manage databases and keep file storage systems clean and organized

· Communicate clearly on a day-to-day basis with the team and junior client contacts via email and teams

· Get involved in internal development projects alongside your day-to-day work

· Share your specialist knowledge and any learning with the team to help everyone grow

Who we’re looking for

We are looking for someone who shares our enthusiasm for collaboration – extending our diverse team and contributing to our growing mix of skills.

This role would most suit a recent or soon-to-be graduate (2024/2025) with a degree in a quantitative field (e.g. Economics, Maths, Data Science, Operation Research), but we’re also open to people with up to 2 years’ experience in related fields.

If you are looking for a challenging role – one that offers the freedom to think, as well as the support of industry leading peers – a position at Kanso is the opportunity that you have been looking for.

Key requirements:

- A degree (or equivalent) in a numerate subject

- Knowledge of Excel and the rest of Microsoft Office

- An enquiring and analytical mind

- Strong attention to detail

- Ability to explain complex ideas in a clear and concise manner

- Familiarity with presenting to peers, colleagues or clients

- Confidence working both independently and as part of a team

- Experience of working with large datasets

Desirable, but not essential:

- Experience of marketing strategy

- Knowledge of making Linear regression models (in Eviews)

- Familiarity with using Tableau for data visualisation

- Use of SQL-based databases

- Coding experience in R, Python or other languages

We currently work flexibility between remote locations and our London office. You will also on occasion travel to client locations to work or present findings.

To apply for this role please provide a CV and covering statement outlining how you believe you fit the requirements of the role and more specifically, what in your degree you think is especially relevant to the field of marketing effectiveness.

We’ll be in touch as soon as we can.

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