Product Analytics - Data Scientist - Great American Media

Great American Media is home to the family-friendly portfolio of brands Great American Family, Great American Faith & Living, and Great American Pure Flix. We are dedicated to our audience, and we believe that strong brands and high-quality programming create an unparalleled fan experience across the Great American Media portfolio.

Ideal candidates will be able to work a hybrid schedule at our our New York City office, Texas Headquarters in DFW, or Scottsdale, AZ office (typically 3 days onsite, 2 days remote). For the right candidate, a remote employee may be considered.

Job Purpose

We are seeking a dynamic data professional with sharp business acumen, outstanding analytical abilities, and a demonstrated talent for effectively communicating actionable insights. The ideal candidate has experience working with diverse data sets and is passionate about transforming data into actionable insights. Our team plays a key role in driving business performance by providing insights to inform decision-making and identifying opportunities for growth. The Product Analytics – Data Scientist will play a critical role in using data to shape product strategies, improve user experience, and drive business outcomes.

Duties and Responsibilities

• Data-Driven Product Strategy

  Analyze product performance metrics (e.g., user engagement, adoption, churn) to uncover trends, generate actionable insights, and recommend strategies to optimize features and enhance the user experience.

  
  

• Impact on Business Outcomes

  Leverage data to shape product strategies that improve user experience, align with business objectives, and drive measurable outcomes.

  
  

• Storytelling with Data

  Translate data insights into compelling narratives and actionable recommendations, presenting to executive audiences on user growth, marketing performance, and product adoption.

  
  

• Strategic Collaboration

  Partner with business leaders, product managers, and stakeholders to align roadmaps, prioritize initiatives, and identify opportunities for improvement using data-driven insights.

  
  

• Forecasting and Predictive Modeling

  Develop models to predict user behavior, demand trends, and potential risks, providing guidance for strategic decision-making.

  
  

• Experimentation and A/B Testing

  Design, execute, and analyze A/B tests with statistical rigor to validate hypotheses and support data-driven decisions.

  
  

• Performance Reporting

  Provide regular performance reports (weekly, monthly, quarterly) to track progress and inform stakeholders.

  
  

• Ad Hoc Analyses

  Respond to ad hoc analysis requests from leadership and key stakeholders to address critical business questions.

  
  

• Metrics and Dashboards

  Create new metrics, dashboards, and insights to monitor activities, optimize performance, and scale outcomes effectively.

  
  

• Perform other duties as assigned.

Qualifications

• Bachelor’s in Business, Statistics, Computer Science, Economics, Marketing, MBA, Engineering, Mathematics, Finance
• 3-5 years of work experience in Data Science, Marketing Analytics, Product Analytics Consulting, Decision Science and/or Business Analytics
• 3-5 years in data querying languages (e.g., SQL) and scripting languages (e.g., Python), with experience using big data technologies (e.g., BigQuery, Hive, Hadoop, Spark) to manipulate and analyze large datasets.
• 3-5 years of experience in building business facing visualizations and dashboards (e.g., Domo, Tableau, Looker)
• Strong communication skills and ability to craft and present data driven analyses and insights to articulate performance and opportunities to key stakeholders.
• Experience working with multiple marketing and digital marketing teams directly to influence and shape campaign measurement, analytics frameworks and drive decision-making
• Experience in measuring digital marketing KPIs, ROI, marketing effectiveness, LTV, ROAS, sentiment analysis, etc.
• Knowledge of statistics and optimization techniques. Hands-on experience with large datasets (i.e. data extraction, cleaning, modelling, interpretation and presentation)
• Ability and enthusiasm to work in a fast-paced environment where deadlines can sometimes be tight, and stakeholder needs immediate.
• Self-motivated and results-driven.

Preferred Qualifications

• Master’s degree in Business, Statistics, Computer Science, Economics, Marketing, MBA, Engineering, Mathematics, Finance
• Experience managing and prioritizing multiple concurrent projects and driving initiatives in a large cross-functional environment
• Experience in a consumer technology company
• Experience with Streaming Metrics supporting an SVOD business.
• Experience with Amazon Web Services, particularly Kinesis, S3, Athena, Redshift, Glue

Working Conditions

This position is in an office environment and may require some travel. The hybrid schedule typically consists of being onsite Tuesday/Wednesday/Thursday and remote Monday/Friday.

Physical Requirements

To meet the essential requirements of this position, you must be able to:

• Sit for long periods of time; more than 30 minutes
• Stand for long periods of time; more than 30 minutes
• Type and complete other meticulous tasks
• Bend and reach
• Lift up to 15 pounds at a time

Direct Reports

None.

Compensation, Benefits and Application Process

Competitive base salary commensurate with experience. We offer a comprehensive benefits package including:

• 401(k) retirement plan with employer match
• Employer paid medical, dental and vision insurance
• Employer paid STD and LTD
• Employer paid life insurance and AD&D plus voluntary supplemental options
• Pet Insurance
• Comprehensive paid time off – vacation, sick leave and holidays

GAC Media, LLC is an Equal Opportunity Employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.