London – Manager, Strategy & Data Science in Marketing Mix Modelling (MMM)
Ekimetrics UK
Job Description
Ekimetrics is a leader in data science and AI-powered solutions. Since 2006, we’ve pioneered the use of AI and data science applied to unified marketing measurement and holistic business optimization aligned with sustainability performance.
Our goal: Combine high-impact AI and data science solutions for sustainable business performance.
At Ekimetrics, we have the ambition to help our clients rethink their business models by reconciling economic, environmental and social performance through data science.
📊Key figures about Ekimetrics
·400 data science experts globally (50+ in the UK)
·1000 diverse projects for more than 350 clients
·4 offices: Paris, Hong Kong, London and New York
·$1 billion in profits generated for our clients since 2006.
·7000 tons of CO2 prevented by our clients in 2022.
·UK data company of the year 2023
·Voted Great Place to Work 2023
·Microsoft’s sustainability partner
·Voted as a leader in “Marketing Measurement and Optimization” by Forrester wave 2023
Why are we hiring?
As we continue to grow, bringing on new global clients, we are looking for a manager to join our London office. We want to strengthen our market optimization offering which focuses on “Marketing Effectiveness” and “Marketing Measurement”. We support clients with detailed recommendations that can be acted upon immediately, as well as on longer-term brand strategies, reconnecting immediate and future business impact.
Your role in the team
As a Manager, you will be expected to work in various teams to service global clients, on key accounts, across multiple continents to deliver marketing and customer analytics projects that will lead to significant, value-led transformations. You will support Senior Managers and the Partners by acting as a strategic partner to our clients, gaining a deep understanding of their needs and offering the most effective solutions, providing impactful and useful insights to help steer their revenue or data strategies, and building long-term relationships.
Embedded in the core of this position lies your expertise in Marketing Mix Modelling. You will be responsible for steering the client, and delivery of BMC’s and MMM models. Whilst you may not generate these models directly you will need prior knowledge of MMM and modelling platforms. Your role will require you to navigate these insights into compelling stories that resonate with both technical and non-technical stakeholders.
Overview
·Use your knowledge and experience In Marketing Mix Modelling (MMM) to make business-led decisions
·Create real valuable actionable insights for clients defining their marketing and strategic direction.
·Be part of commercial activities including pitching to prospective clients
·Steer and manage large global accounts with globally recognised brands
·Manage end-to-end analytics projects, including, planning, design, and implementation.
·Manage and coach a small team of 3-10 consultants.
·Be a HR mentor responsible for the growth of junior employee’s career development.
About You
We are looking for someone who can show both advanced analytics skills and a strong interest in marketing & business strategy. Ideally, you’ll have:
·Strong Knowledge and experience in Marketing Mix Modelling (MMM)
·Experience working across large data sets
·Understanding of media variables/econometrics and prior modelling experience.
·Experience working with clients and account management
·Knowledge and/or understanding of Coding languages such as Python or R - we use Python at Eki
·Proficiency in Microsoft Office software such as Word, PowerPoint, and Excel
·Degree in Economics/Econometrics, Maths/Statistics, Business Analytics, Data Science or a related field
·Interest in working in a fast-paced and driven consultancy environment.
·Clear and concise communication
Working for Eki
Working for Ekimetrics is a lot of fun! We have clients across multiple industries and are constantly looking to innovate and explore new ways of doing things. Our London team consists of ~50 people and are predominantly Data Science Consultants. We come from all over the world, have varied experiences and passions, and all contribute value to Ekimetrics’ success.
We encourage continuous self-development and thought leadership throughout Ekimetrics and foster a culture of transmission and pleasure – we love what we do, and we want to share it!
As well as an opportunity to join a driven, energetic, and highly innovative team, we also offer the following:
·Hybrid working (2 days a week in the office)
·25 days annual leave (+ Bank Holidays and additional days for tenure)
·Private healthcare, life insurance, critical illness cover, and professional wellbeing support services (all on entry)
·Regular socials and events
·Group pension scheme
·An emphasis on work-life-balance and a strong company culture
·Opportunities to develop a dual profile in data science and strategic consulting.
·Unique training programs and learning opportunities.
·Opportunities for international mobility
Our recruitment process
🔸 HR intro interview with a Talent Acquisition Specialist/Recruiter
🔸 Interview with a manager - Technical discussion and overview of Ekimetrics
🔸 Case study interview with a Manager+
🔸 Final interview with a partner
We would be delighted to provide you with further information during an interview and look forward to receiving your application!
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At Ekimetrics, we believe our best assets are our people - they are what set us apart and drive our success. We encourage entrepreneurial spirit and innovation. We share what we know with others, and, above all, we love what we do. These sentiments are supported by our company values which serve as pillars in our work and attitude.
Follow our Ekimetrics’ values: Curiosity, Creativity, Excellence, Transmission and Pleasure.
Ekimetrics is an equal opportunities employer committed to making all employment decisions without regard to race, ethnicity, gender, pregnancy, gender identity or expression, creed, religion, nationality, age, disability, marital status, sexual orientation, military veteran status, current employment status, or any other legally protected categories, subject to applicable law.
