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NEXTMOVEFDE careers · United States
Samsung

Sr. Manager of Client Analytics, Data Insights Team 

AI summary of the role

Lead the Client Analytics Reporting team at Samsung Ads, leveraging the world's largest TV viewership data to measure ad campaign performance and develop custom analytics.

What you’ll do

  • Lead a team of analysts to produce ad campaign measurement, client reporting, clean room engagements, and custom analysis.
  • Oversee client facing experimentation, including AB testing and Incrementality, ensuring best practices and standards are met.
  • Translate business requirements into SQL queries and Python scripts for ad hoc analysis and custom reporting solutions.
  • Architect data pipelines to connect different data sources and develop/maintain ETL processes.

What you’ll bring

  • 10+ years in engineering/analytics roles, including experience with advertising campaign measurement and incrementality methodologies.
  • 5+ years managing an analyst team.
  • Degree in computer science/engineering or a quantitative discipline (Economics, Statistics, Engineering, Physics, Mathematics).
  • Strong technical skills in AWS, Snowflake, and Big Data environments.

Technologies

SQL · Python · AWS · Snowflake · Tableau · Domo · Jira · Confluence · GitHub · Claude

About Samsung

Builds devices, chips, displays, appliances, software and connected-home/ad platforms, differentiated by vertical integration from memory/foundry to Galaxy and SmartThings.

Public · 5000+ people

Source and classification

Deployment team leadership · Evidence for this classification:

technical analysts who use SQL, Python, statistical programming languages, and AI tools to measure ad campaign performance, develop custom analytics and dashboards, implement client clean room engagements, and create early-stage Data Solutions. The ideal candidate will possess strong technical skills, excellent communication abilities, and effective stakeholder engagement. Key Responsibilities: Lead a team of analysts to produce ad campaign measurement, client reporting, clean room engagements, and custom analysis. Coach the team to transform and cleanse data into meaningful analysis for business/sales teams. Manage team capacity and prioritize client work across business stakeholders. Oversee client facing experimentation, including AB testing and Incrementality, ensuring best practices and standards are met. Act as the knowledge expert on research design and implementation.
How jobs are selected

Employer postings · Data from · Sources