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Find tutorial for your browser below :
  1. Make sure the webpage is open.
  2. In the Safari app on your Mac, choose Safari > Preferences, then click Security.
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  4. Click Websites.
  5. On the left, click Content Blockers.
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  2. Click. then Settings.
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  1. Go to Settings.
  2. Click Advanced in the left sidebar, and click Privacy & security.
  3. Under Privacy and security, click Site settings.
  4. Click JavaScript.
  5. At the top, turn on or off Allowed (recommended).
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Jobs or company...

Senior Marketing Data Analyst

Salary undisclosed

Apply on

Dice
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Simplified


Senior Marketing Data Analyst


You will be responsible for driving data-driven marketing strategies through advanced analytics and business intelligence, providing deep insights into campaign performance and customer behavior.



Responsibilities:



  • Oversee the evaluation of marketing campaign data from various platforms such as Google, Bing, Facebook, and Instagram, deriving insights that guide strategic decisions and enhancements.

  • Create sophisticated business intelligence solutions, developing executive-level dashboards and reports that offer real-time insights into key performance indicators like return on ad spend (ROAS), cost per acquisition (CPA), and customer lifetime value (LTV).

  • Develop and execute multi-touch attribution and customer segmentation frameworks to enhance targeting precision and improve the effectiveness of campaigns.

  • Perform predictive analytics, including churn forecasting and lifetime value assessments, to enable proactive marketing efforts and refine budget distribution.

  • Collaborate closely with the Vice President, Director, and other marketing stakeholders to convert insights into practical strategies that drive revenue growth and boost customer engagement.



Requirements:



  • 5+ years in marketing analytics or business intelligence with a focus on performance marketing data.

  • Expertise in advanced data analytics, including statistical modeling, regression analysis, and cohort analysis.

  • Proficiency in SQL and Python/R for data analysis and modeling, with experience in Sigma and Power BI for dashboarding.

  • Strong ability to communicate complex analytics to non-technical stakeholders and align analysis with business goals.

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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