About this role
Salary: £31,000 - 59,000 per year
Requirements: 1–3 years of professional experience in analytics, data science, or marketing effectiveness, including internships or graduate placements.Proven hands-on experience with Marketing Mix Modelling (MMM) and related marketing effectiveness methodologies.Bachelors or Masters degree (or equivalent) in Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Business Analytics, Marketing, or a related analytical field.Strong technical proficiency in Python, R, SQL, or similar analytics tools; experience with Databricks, Azure, or other cloud/data platforms is a plus.Experience or willingness to learn visualisation tools such as PowerBi and Tableau.Experience building and maintaining statistical or predictive models to forecast consumer behaviour, campaign performance, and key business metrics.Ability to handle and optimize large datasets, ensuring high-quality analyses and actionable insights.Strong working knowledge of Microsoft Excel and PowerPoint.Ability to manage client interactions and support project delivery as an operational-level contact.Strong communication, storytelling, and presentation skills to convey analytical insights clearly.Collaborative, proactive, and capable of mentoring junior team members.Positive, resilient, and results-oriented mindset with attention to detail.Curiosity and enthusiasm for learning in a fast-paced consultancy environment.Positive, resilient attitude with a solution-oriented, results-driven mindset and a sense of humour. Responsibilities: Contribute to one major or multiple client projects across our suite of MMM/Data science offerings.Clean and prepare data from multiple sources using Python, R, SQL, Excel, or other tools.Conduct analyses related to consumer behaviour, market trends, and campaign performance.Build, maintain, and apply statistical and predictive models, including regression, econometrics, Bayesian methods, and Marketing Mix Modelling (MMM).Develop dashboards, charts, and visualizations to communicate insights effectively to clients and internal teams.Assist in developing marketing strategies and media optimization plans based on model insights.Collaborate with teams to produce client deliverables, ensuring accuracy, quality, and timely delivery.Participate in client meetings and calls under supervision, helping translate analytical outputs into actionable business recommendations and narratives.Collaborate with seniors and managers to define analytical approaches and methodologies.Support informed decision making by presenting and explaining findings in client delivery meetings and internal workshops.Share best practices within the team and contribute to knowledge-sharing initiatives.Take ownership of professional development, pursuing certifications and training in analytics, modelling, and programming.Actively participate in office meetings, training sessions, and team initiatives.Champion and role-model core values: Curiosity, Creativity, Excellence, Transmission, Pleasure. Technologies: AIAzureCloudDatabricksExcelSupportMarketingPythonSQLTableau More:
We are Ekimetrics, a global leader in Marketing Effectiveness and AI-powered solutions. Since 2006, we have been helping businesses optimise marketing and operations by combining AI with business and tech expertise across four domains: Marketing Effectiveness, Customer Analytics, Operational Excellence, and ESG & sustainability. With a full in-house team and offices in Paris, London, New York, Hong Kong, and Shanghai, we deliver tailor-made solutions that turn data into real positive impact, leveraging our unique combination of technology and services. We are committed to responsibility and frugality in AI, systematic AI impact at scale, and loyalty to our values and DNA. This is a permanent, hybrid London role with a modern central London office, flexible working, regular events and seminars, structured career progression, access to Eki.Academy, international client exposure, and benefits including salary of 40,000-55,000 plus bonus, private healthcare, life insurance, wellbeing support, pension, and annual leave.
last updated 36 week of 2026