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Data Analyst/Data Scientist

Salary undisclosed

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Job Title: Data Analyst/Data Scientist
Location: Mountain View, CA(Complete Remote)
Years of Experience: 5 to 10 years
Job Description:

We are looking for a Data Analyst / Data Scientist with expertise in Fractional Attribution Modeling, A/B Testing, and Marketing Mix Modeling (MMX). The ideal candidate will be responsible for developing and optimizing attribution models, ensuring data accuracy, and driving marketing efficiency through rigorous analytical techniques. This role requires a strong foundation in Python, SQL, statistical modeling, and the ability to present actionable insights effectively to stakeholders.

Key Responsibilities:

  • Develop, maintain, and enhance Fractional Attribution Models to accurately measure marketing performance across channels.
  • Investigate data anomalies to ensure the accuracy and reliability of attribution insights.
  • Design and execute A/B testing and MMX modeling to assess marketing effectiveness and optimize spend allocation.
  • Build dashboards and reports using Tableau/Power BI to monitor KPIs and derive actionable insights.
  • Collaborate closely with Marketing, Data Engineering, and Leadership teams to drive data-driven decision-making.
  • Present complex attribution findings in a clear and concise manner to technical and non-technical stakeholders.

Required Skills & Experience:

  • Strong expertise in marketing attribution models, analytics, and performance measurement.
  • Proficiency in Python and SQL for data manipulation, modeling, and analysis.
  • Hands-on experience with A/B testing, MMX modeling, and spend optimization methodologies.
  • Expertise in Tableau/Power BI for data visualization and insight generation.
  • Strong communication skills to present insights effectively to business stakeholders.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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