Sr. Data Insights Analyst – Brands

Position Summary

Role and Responsibilities

Sr. Data Insights Analyst – Brands 

Samsung Ads, the advertising monetization arm of Samsung Electronics, leverages proprietary real-time TV viewing behavior and insights to promote relevant brands and content experiences to consumers. We partner with brands, agencies and content owners to deliver unique advertising opportunities on native placements within our Smart TV platform and programmatically with a cross device solution.

Samsung’s unique first party data help brands connect to their audience as they explore content across desktop, mobile, tablets and our Smart TVs. The Samsung Ad platform delivers high-quality audience targeting powered by three key components: first-party audience data at scale, world-class data science, and brand-safe cross-device ad inventory.

The Opportunity

We’re looking for an innovative, self-starter to join the Samsung Ads Data Insights Brand team. The sr. analyst will collaborate with teams across Samsung Ads to identify and build unique measurement and targeting solutions from one of the richest TV viewership/media consumption databases in the industry today.

The candidate will be responsible for supporting Samsung Ads data insights and solutions for brand advertisers across different verticals and prioritizing capabilities for development, automation, and scale. This role will be client facing and the analyst will be expected to explain measurement methodology and results directly to Samsung Ads clients. The candidate will partner with internal stakeholders to identify and prioritize new data related opportunities.

Candidate must be organized, detailed oriented, flexible and possess the ability to establish priorities with minimal guidance in a fast-paced environment – must be proactive, analytical problem solver and strategic thinker who is able to draw conclusions and deliver a concise, data-driven story to internal and external stakeholders.

Core Responsibilities

• Leverage Samsung 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

• Become an expert on Samsung Ads data warehouse and internal tools to help Sales & Client Solutions answer key client questions

• Partner with cross functional stakeholders to identify new analytical capabilities and solutions that will empower the sales and service organization

• Design campaign measurement and attribution plans based on client’s campaign objectives

• Explore data to identify trends and opportunities, problem solve anomalies by interacting directly with the Client Analytics, Product and Engineering teams

• Partner with Sales and Client Solution stakeholders to present Samsung Ads analytical capabilities to clients and interpret campaign results to improve campaign KPI performance.

• Collaborate with 3rd party data and measurement partners to deliver results to clients when applicable

Qualifications

• Bachelor’s degree in quantitative discipline preferred (Economics, Statistics, Mathematics, Market Research)

• 4+ years relevant experience: media company, ad agency, market research firm, ad tech, etc. is preferred

• 4+ years in related analytics role with practical application of ad campaign performance reporting

•  Experience with SQL is preferred

• Strong communication skills with the 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, treatment and control incrementality and AB testing.

• The salary range for this role will vary among specific regions due to geographic differentials in the labor market, and actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role.  However, the salary ranges in the following regions are expected t