Marketing Mix Modeling Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Marketing Mix Modeling Analyst on a contract basis, hybrid in Plano, 40 hours a week. Candidates must have a Bachelor's in a relevant field, experience in media strategy and analytics, and proficiency in R, Python, and data visualization tools.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
416
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πŸ—“οΈ - Date discovered
August 16, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
Hybrid
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Plano, TX
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🧠 - Skills detailed
#Strategy #Tableau #Python #SAS #Data Analysis #Statistics #Microsoft Power BI #Data Science #R #Visualization #BI (Business Intelligence)
Role description
Marketing Mix Modeling Analyst - Contract, Hybrid schedule in Plano, 40 hours a week! Robert Half is looking for a Marketing Mix Modeling Analyst to bring on contract, 40 hours a week. Marketing Mix Modeling Analyst will be managing stakeholders, internal and external, working day to day in data science and statistics as it applies to media. Marketing Mix Modeling Analyst will interpret vendor-led marketing mix modeling outputs and translate findings into actionable insights working alongside strategy, media, partnerships and event teams. Marketing Mix Modeling Analyst will be comfortable presenting insights routinely to stakeholders and be able to break down the information into digestible pieces. Marketing Mix Modeling Analyst will lead scenario planning and support budgeting conversations. Marketing Mix Modeling Analyst will be analyzing large data sets, identifying trends, patterns and insights to drive strategies and present findings to stakeholders, using reports and visualizations. Marketing Mix Modeling Analyst - Contract, Hybrid schedule in Plano, 40 hours a week! Marketing Mix Modeling Analyst MUST have the following: β€’ Bachelor's degree in Statistics, Marketing, Data Science, Economics, or similar field. β€’ Proven experience in media strategy, analytics, data analysis, focusing on mix modeling with a strong understanding of marketing principals, metrics, ROI, customer acquisition cost and lifetime value. β€’ Proficiency in statistical software, R, Python, SAS; and data visualization tools, Tableau, Power BI, a plus. β€’ Strong understanding of marketing principles, metrics, ROI, customer acquisition cost, and lifetime value.