Associate Analyst / Graduate Econometrician - Marketing Science
• Assist in the development and execution of Marketing Mix Modelling (MMM) projects to evaluate the effectiveness of marketing strategies across various channels.
• Conduct data analysis, statistical modelling, and interpretation of results to provide actionable insights and recommendations to clients.
• Collaborate with cross-functional teams to gather data, refine methodologies, and present findings in client meetings and reports.
• Prepare clear and compelling presentations and reports using Excel and PowerPoint to communicate key findings and insights.
• Contribute to the continuous improvement of analytical processes, tools, and methodologies to enhance the quality and efficiency of our services.
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The successful candidate will have the following skills:
• Bachelor's or Master's degree in Economics, Statistics, Mathematics, or a related field.
• Strong analytical and quantitative skills, with proficiency in statistical analysis and econometric modelling.
• Excellent communication skills, with the ability to effectively convey complex concepts and insights to both technical and non-technical stakeholders.
• Proven ability to work collaboratively in a team environment, with a proactive and results-driven approach.
• Proficiency in Microsoft Excel and PowerPoint; experience with R/Python for data analysis and visualisation is a plus.
• Prior experience or coursework in marketing analytics, econometric modelling, or related fields is preferred but not required for recent graduates.
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If this sounds like the role for you then please apply today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website: (url removed)
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