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

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.
• Bachelor 0s or Master 0s 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.

Preferred

• 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.