Manager, Supply Analytics

atNBCUniversalRemoteUS flagUnited StatesFull-timeManagerMid-levelSenior$88k – $206.2k/year

Posted Aug 8

This is a fully remote position, open to applicants in United States.

📋 Description

• Act as the data-centric Technical Product Owner for inventory-related data assets at Comcast Advertising.

• Establish product strategy and prioritize the backlog effectively.

• Collaborate with engineering, architecture, and business stakeholders to implement scalable data solutions.

• Provide expertise in advertising inventory and yield data.

• Ensure that data models, governance, and analytics facilitate forecasting, optimization, operational reporting, and strategic decision-making.

• Lead discussions with business leaders to understand data analysis requirements and define technical specifications.

• Offer insights on data relevance and sourcing alternatives.

• Oversee the analysis of complex data sets using self-service analytics tools.

• Manage the querying of diverse big data platforms.

• Spearhead the integration of data from various sources.

• Perform exploratory data analysis to uncover business drivers and confirm hypotheses.

• Supervise the development of predictive models for sales and demand forecasting.

• Evaluate the outcomes of campaigns and initiatives.

• Communicate analytical insights to executives through narrative-driven reports and data visualizations.

• Foster a culture of data-driven decision-making and collaborative team dynamics.

• Be flexible with work schedules, including nights and weekends as needed.

• Execute other assigned duties and responsibilities.


⛳️ Requirements

• 5–7 years of relevant professional experience.

• A Bachelor's Degree is preferred.

• A combination of coursework and experience may be considered.

• Extensive professional experience in related fields may be taken into account.

• Proficiency in advertising inventory and yield data.

• Familiarity with data models, data governance, forecasting, optimization, and operational reporting.

• Experience with querying Teradata, SQL Server, Hadoop, and AWS.

• Background in integrating data from multiple sources.

• Experience in exploratory data analysis and predictive modeling.

• Willingness to work nights and weekends as required by variable schedules.

• Consistent, regular, and punctual attendance.

• Exercise independent judgment and discretion in significant matters consistently.


🏝️ Benefits

• Bonus eligibility for most non-sales roles.

• Commission eligibility for the majority of sales positions.

• Comprehensive benefits for eligible employees.

• Tailored support options, expert guidance, and continuous tools to assist employees physically, financially, and emotionally.

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