Senior Manager of Data Insights and Strategy

7 days ago

Toronto, Ontario, Canada Samsung Electronics Full time
About the Role

We are seeking a highly skilled Senior Manager of Data Insights to join our team at Samsung Electronics. As a key member of our Data Insights Team, you will play a critical role in supporting our clients' reporting and insights needs by leveraging our comprehensive TV viewership data.

Key Responsibilities
  • Partner with Sales and Client Solution stakeholders to present our analytical capabilities to clients and interpret campaign results to improve campaign KPI performance.
  • Leverage our first-party data, combined with client first-party or third-party data to inform client's pre-campaign strategy for audience targeting and media strategy.
  • Apply our measurement capability and interpret campaign results to improve campaign and KPI performance.
  • Design campaign measurement and attribution plans fit for client purpose.
  • Explore data to identify trends and opportunities, problem-solve anomalies interacting directly with Client Analytics team and Product and Engineering teams.
  • Become an expert with our data warehouse and internal tools to help Sales & Client Solutions answer key client questions.
  • Partner with stakeholders and other support groups to identify new analytical capabilities/solutions that will empower the sales and service organization.
  • Collaborate with 3rd-party data and measurement partners to deliver results to clients when applicable.
Requirements
  • Bachelor's degree in a quantitative discipline (Economics, Statistics, Mathematics, Market Research) preferred.
  • 8+ years of relevant experience: media company, ad agency, market research firm, ad tech, etc. is preferred.
  • 4+ years in a related analytics role with practical application of ad campaign performance reporting.
  • Candidate must have prior SQL experience, working with UDW/TV data a plus.
  • Strong communication skills - ability to effectively present insights and analysis in front of clients, agencies, executives, and stakeholders.
  • Ability to translate between business and technical communities. A high degree of analytical expertise is essential, along with the ability to communicate results for consumption of non-technical colleagues.
  • Experience working with large relational TV viewership databases and principles of ad campaign performance attribution, research design, and AB testing.

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