America's Test Kitchen-posted 15 days ago
$70,000 - $90,000/Yr
Full-time • Mid Level
Hybrid • Boston, MA
251-500 employees
Publishing Industries

America's Test Kitchen helps millions of home cooks create foolproof recipes with confidence. As Manager, Analytics, you'll play a key role in understanding what makes our community tickfrom their first recipe search to becoming devoted long-term subscribers. Your insights will directly influence how we grow our digital subscription business and serve our passionate cooking community better. The person in this role will be an important contributor to the Research, Analytics & Data team and its mission to drive ATK's growth by providing data-driven insights and recommendations to the organization. The position will report to the Director of Research, Analytics & Data and be based in Boston, MA. You'll execute analytical projects and contribute to cross-functional initiatives while collaborating with stakeholders across a variety of functions. The ideal candidate will have experience with driving growth in a subscription-based business.

  • Fuel growth in America's Test Kitchen's Digital Subscription business by delivering insights around consumer behavior
  • Contribute to the development of predictive models for churn and retention
  • Help identify leading indicators for downstream engagement
  • Support pricing optimization efforts through customer segment analysis
  • Analyze what content and features resonate most with different audience segments
  • Examine the customer journey across ATK's TV shows, digital platforms, and print magazines to optimize cross-channel engagement
  • Contribute insights on what drives home cooks to become loyal, long-term subscribers
  • Execute analytical projects
  • Translate business problems into analytical questions, working with stakeholders to refine requests into clear, answerable questions
  • Identify the data that best addresses business needs, determining what questions to ask of the data to uncover root causes and opportunities
  • Partner with others as needed to obtain and manipulate data from our cloud data warehouse and other sources
  • Analyze the data using statistical methods and exploratory techniques
  • Present findings and recommendations to stakeholders
  • Contribute to cross-functional projects
  • Work with project teams to apply data in design, execution, and success measurement
  • Identify and document data collection requirements that are critical for measuring success, then partner with Engineering to ensure successful implementation
  • Explore data to identify trends, anomalies, or opportunities, formulating hypotheses and designing analyses to test them
  • Support the prioritization of initiatives for the Research, Analytics & Data team's roadmap
  • Prepare and deliver recurring reports
  • Create and maintain dashboards and reports that track key business metrics
  • Act as a resource, helping others in the organization benefit from data-driven decision-making
  • 5-7 years of experience in applying data & analysis to drive customer growth, customer loyalty, or similar organizational objectives
  • Strong analytical problem-solving skills with ability to ask insightful questions that uncover root causes and identify opportunities
  • Hands-on technical experience with modern data platforms and analytics tools:
  • Proficiency in SQL for querying and manipulating data in cloud data warehouses (Snowflake, Google BigQuery, Amazon Redshift, or Databricks)
  • Experience creating clear, compelling visualizations and dashboards using modern platforms (Tableau, Looker, Power BI, or similar)
  • Ability to synthesize data from across a variety of sources and customer touchpoints
  • Ability to translate data into actionable recommendations
  • Ability to work collaboratively with stakeholders from a variety of functional areas within an organization
  • Strong communication and presentation skills, including the ability to explain complex analysis to diverse audiences
  • Experience with subscription products (apps, web & print)
  • Media industry experience across a variety of media channels (TV, video, social media, email)
  • Experience with transforming large amounts of data to support further analysis or data loads to 3rd party systems
  • Python or R for statistical analysis
  • Familiarity with data architecture or data modeling concepts
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