About this opportunity
National Black MBA Association lists this Manager, Client Analytics opportunity in northern, Kentucky. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Manager of Client Analytics, Data Insights Team
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.
We’re looking for an innovative individual to lead Samsung Ads Client Analytics Reporting team leveraging one of the richest TV viewership/media consumption databases in the industry. The purpose of this role is to lead a team of technical analysts that leverage SQL, Python and statistical program languages to perform Client Analytics and develop Data Insight solutions. It requires highly technical skills, strong communication skills and effective stakeholder engagement.
The candidate will be a player-coach who will manage a team of Analysts who are developing query scripts, data cubes and reports on ad campaign performance, viewership trends and new Client Data Insight Solutions powered by Snowflake using SQL and Python.
Candidate must be a team motivator, organized, detailed oriented, flexible and possess ability to establish priorities with minimal guidance in a fast paced environment. The candidate will possess strong stakeholder relationship skills. They are proactive, an analytical problem solver and a strategic thinker who is able to draw conclusions - not just report numbers. Candidates must have prior engineering experience and strong SQL and Python skills.
Responsibilities
Strong technical skills on AWS and Big Data – has worked with teams of developers
Translate business requirements into SQL queries and Python scripts for Ad Hoc analysis and custom reporting solutions
Explore data to identify client ad performance opportunities, trends and anomalies, contribute to new Client Data Insight Solutions through custom analytics and coordinate reporting automation with other internal Product and Engineering teams.
Architect data pipelines to connect different data sources
Develop and maintain Extract, Transform & Load (ETL) processes
Transform and cleanse outputs into meaningful analysis for business/sales teams
Tune and optimize current code base and reporting solutions.
Manage team capacity to client work, Data Insights development and infrastructure needs
Oversee documentation
Qualifications
Strong technical skills on AWS and Big Data – has worked with teams of developers
10+ years in a related engineering/analytics work.
Degree in computer science/engineering or quantitative discipline (Economics, Statistics, Engineering, Physics, Mathematics.)
Strong SQL skills 5+ years using SQL
Snowflake or similar platform experience
Python experience
Big Data and Data/Technology methodology experience
Stakeholder engagement experience
BI Experience (Domo preferred)
Exposure to Automation
Experience with AWS tools such as IAM, Lambda, EC2 and S3.
Strong Jira, Confluence, GitHub and other agile development tool experience.
Data privacy
Bonus
Experience in media and TV measurement
Athena Experience
Qubole Experience
Salesforce Experience
Vendor management
Main Tasks
Player-coach who will both participate and manage a team of Analysts who are developing query scripts, data cubes and insight reports on ad campaign performance, viewership trends and new Client Data Insight Solutions powered by Snowflake using SQL and Python. Explores data to identify client ad performance opportunities, trends and anomalies, contribute to new Client Data Insight Solutions through custom analytics and coordinate reporting automation with other internal Product and Engineering teams.
The salary range for this role is expected to be between $140,000 and $150,000. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role.
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Who can apply
Review the original listing for work authorization, qualifications and employer requirements.