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Marketing Data Scientist

SGS Consulting

Job Responsibilities:

  • Build and maintain audience segments in Salesforce Data Cloud, including signal identification, Calculated Insights (SQL), and activation to SFMC
  • Partner with Data Engineers to design and build data pipelines that feed marketing reporting and audience systems
  • Develop automated reporting solutions and self-service dashboards to track campaign performance and marketing KPIs
  • Pull, clean, and analyze large datasets (millions of records) to deliver audience strategy, segmentation, and revenue opportunity sizing
  • Ensure data quality and troubleshoot data discrepancies across audience and reporting systems
  • Translate business requirements into technical audience definitions and partner with campaign managers on complex builds

Skills:

  • Marketing team - leveraging internal customer data
  • Large data set piece - experience
  • Need Analyst to help group/map audiences to inform decisions - SQL and python
  • Mapping logic
  • Build audience segments within data cloud
  • Translating super complex ideas - working with XFN and communicating
  • Marketing And Analytics (HIVE, unidash or something similar)

Education/Experience:

  • 7+ years of experience in marketing analytics, data engineering, data science, or a related analytics role
  • Expert-level SQL skills: complex queries, CTEs, window functions, query optimization, and working with large datasets (millions of records)
  • Hands-on experience with Salesforce Data Cloud (or similar CDPs) including segment creation, Calculated Insights, and activation workflows
  • Experience building audience signals and audience segments for marketing campaigns
  • Proven experience partnering with Data Engineers to build and maintain data pipelines
  • Strong experience with report automation: scheduled reports, automated data refreshes, and self-service dashboards
  • Proficiency in data visualization tools such as Tableau, Hive, or similar
  • Advanced Google Sheets/Excel skills
  • Basic Python skills for automation and API utilization
  • Excellent communication skills with the ability to translate technical concepts for non-technical stakeholders
Vacancy posted more than 2 months ago
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