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Full Time Job

Analyst, Data Scientist, Currency & Xp Measurement

NBCUniversal

New York, NY 06-29-2022
 
  • Paid
  • Full Time
  • Entry (0-2 years) Experience
Job Description
Responsibilities
This is an exciting role to work and grow in the intersection of ad tech, media and data science. We are looking for a self-starter who is proficient in advanced analytics/data science and has strong interest in advertising or media tech. You will have the exposure to cutting edge technologies and will work closely with product team, ad sales, research, industry vendors and play an integral part to drive the measurement innovation across NBCU portfolios. The Manager/Sr. Analyst will report to Sr. Manager of Measurement Innovation.

We don't have a typical day-to-day because every day is different! This list just gives you an idea.
• Research on cutting edge media measurement methodologies, run test queries on sample data and synthesize research findings to senior leadership
• Explore machine learning algorithms, develop customized models independently, and collaborate with data engineers to deploy models to production
• Crunch, investigate and analyze various kinds of data across different data sources and use cases
• Conduct log level analysis using NBCU 1st party data, and or 3rd party data from the Audience Insights Hub
• Utilize research tools (Nielsen, Kantar, iSpot, VideoAmp, etc.) to conduct media consumption analysis, competitive analysis, advertising campaign performance and create presentations with insights and visualizations
• Help Sr. Manager or VP to manage various test & learn projects (timelines, agenda, deliverables, analysis, findings etc.)
• Partner with product, IT, client strategy teams and influence go to marketing or sales strategy of NBCU ad offerings
• Work with senior research leaders in evaluating new research tools and other data sources/vendors to understand capabilities and potential benefits to full funnel media measurement
• Collaborate across NBCU Measurement & Impact teams on measurement projects, learning initiatives, etc.

Qualifications/Requirements
• Minimum of Bachelor's degree from an accredited college or university in Statistics or Marketing Analytics
• Technical skills and experience such as SQL, Python, Advanced Excel, Marketing Research, etc.
• Minimum of 1 - 2 years full-time, post-graduation work experience in data analytics, media research, or data science with ad tech company, digital entertainment company, advertising agency, media research provider or data analytics firm
• Understanding of statistics concepts and methods
• Knowledge of data manage platforms, cloud databases (AWS, GCP, Snowflake, etc.)
• Proficient in SQL
• 1+ year of experience with R or Python, or demonstration of independently accomplished data science projects
• Experience with data manipulation, visualization, statistical modeling packages within R or Python
• Understanding of broadcast/cable, Connected TV/OTT and digital media landscapes
• Experience with syndicated media research tools with a focus on cross platform measurement, including Nielsen systems, comScore, VideoAmp, etc.
• Experience with Excel and dashboarding/data visualization
• Prior experience in the ad-tech measurement space preferred

Desired Characteristics
• Self-starter who can perform independently and proactively while working in a collaborative team environment
• Strong knowledge of data management platforms. Understanding of ad technology, a plus.
• Strong knowledge of machine learning techniques and applications in media industry
• Knowledge of cross-platform measurement across digital, linear, and streaming (including CTV/OTT, addressable TV, etc.) a plus
• Knowledge of Multi-Touch Attribution, Media Mix Modeling a plus
• Flexible, able to deal with ambiguity and comfortable working in a fast paced, results oriented environment, and aligning the interests of multiple stakeholders
• Data processing and experience with data visualization tools (DOMO and Tableau) a plus

Jobcode: Reference SBJ-g4z5nz-13-59-61-119-42 in your application.