This role sits within our econometrics team, who help the business measure the effectiveness and efficiency of our business strategies. These learnings will be applied to help shape British Gas and Hive's overall marketing strategy. You'll be responsible for delivering accurate and appropriate models, and interpret the analysis to create concise, insightful recommendations. The role is varied, with exposure across the business and will involve working closely commercial, finance, marketing and data science. This role is hybrid working with fortnightly travel to Windsor, Berkshire.

Key responsibilities will include:

• Work with the current econometrics team to build and update a suite of econometric/MMM models for British Gas and Hive products and turn outputs into actionable insights to drive value

• Analyse large datasets to quantify the impact of marketing spend on key business outcomes, such as sales, customer acquisition

• Assist in ad hoc projects as advised by your line manager and other stakeholders

• Interpret the analysis to create concise, insightful stakeholder communications (presentations, documentation etc), being able to create and develop a narrative that is consistent with the data gathered

• Ensure projects and deadlines are met in line with the business needs

• Extensive work with Big Data, econometrics, Statistics, and Marketing Mix Modelling

Here's what we're looking for:

• Experience in Big Data analysis, econometrics, statistics and Marketing Mix Modelling in a professional environment

• Good knowledge of media, marketing, pricing and promotions and an understanding of their commercial impact

• Programming skills, particularly in Eviews, Python, R, or SQL, are advantageous

• Highly competent with Microsoft Office especially Excel, PowerPoint and Word

• An understanding of media planning and buying and optimisation techniques would be beneficial

• Excellent attention to detail

• Ability to multitask and coordinate multiple projects at once

• Be able to communicate in a professional environment

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