Senior SQL Analyst

4 weeks ago

London, United Kingdom DATAHEAD Full time

Senior Analyst 3 - 6 months
UK - Remote
£As a Senior Analyst in Marketing Science, you will be responsible for leading and executing test & and control analytics and marketing mix modeling (MMM) to drive strategic insights and recommendations for optimizing marketing efforts. This role requires a deep understanding of data analysis, statistical modelling, and marketing principles to analyze complex datasets and translate findings into actionable marketing strategies.

Design and Execute Test & Control Analyses: Develop and implement robust test & and control frameworks to measure the impact of various marketing initiatives. Analyze campaign performance, identify causal impacts, and provide recommendations for optimization.
Marketing Mix Modeling (MMM): Lead the development and refinement of MMM to understand the effectiveness and ROI of marketing spend across different channels. Use modelling results to inform budget allocation and marketing strategy.
Data Management and Analysis: Collect, clean, and analyze data from various sources to support modelling and analytics efforts. Ensure data quality and integrity in all analyses.
Prepare and present reports to senior management detailing analysis results, implications, and strategic recommendations.
Cross-Functional Collaboration: Work closely with marketing, finance, and product teams to align MMM and test & control analyses with business objectives. Project Management: Manage analytics projects from conception to completion within the allocated time frame. Ensure deliverables meet high-quality standards and business requirements.

Educational Background: Bachelor’s or Master’s degree in Statistics, Economics, Data Science, Marketing Analytics, or a related field.
Experience in marketing analytics, with a focus on test & control analysis and marketing mix modeling. Technical Skills: Proficiency in statistical software (e.g., R, Python, SAS) and database querying languages (e.g., SQL). Strong understanding of statistical modeling, forecasting, and data analysis techniques. Experience with data visualization tools (e.g., Tableau, Power BI).
Analytical Skills: Strong analytical and problem-solving skills, with the ability to interpret complex data and translate it into strategic insights.
Project Management: Strong organizational and project management skills, with the ability to manage multiple projects simultaneously under tight deadlines.

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