Senior Manager, Audience & Product Analytics, NYT Wirecutter

Description

The company's newsroom reports from nearly 160 countries and publishes journalism across print, audio and its digital site and app.

The team is hiring a Senior Manager of Audience and Product Analytics to drive growth by learning who the audience is, how they use content and product features, and what brings them back.

You will lead a group of analysts who track shifts in audience behavior, guide product changes and improve engagement. You will report to the Executive Director of Data Analytics and Insights for the team, and the role can be done in an office or remotely.

Responsibilities

• Manage three direct reports by setting clear deliverables, supporting their career growth and keeping analytics output high in quality, while building a culture of curiosity and excellence.
• Study audience growth, traffic sources, touchpoints along the customer journey and engagement trends to shape strategic decisions.
• Work with product, design, engineering and editorial leads to set strategy, agree goals and build the audience and product analytics roadmap.
• Run A/B tests from design through to analysis, advising on primary metrics, trade-offs between competing goals and changes to product offerings.
• Turn complex behavioral data into clear stories and actionable recommendations.
• Champion journalistic independence and the company's commitment to seeking the truth and helping people understand the world.

Requirements

• 6+ years in data analytics, working directly with product or publishing teams.
• 2+ years of people leadership managing analysts.
• 5+ years of experience running A/B tests.
• 1+ years reporting on audience engagement, traffic trends or customer journey modeling at a digital publisher or media organization.
• Advanced SQL skills and experience with BI and data visualization tools such as Tableau or Looker.
• Preferred: proficiency in Python or R.
• Preferred: knowledge of the digital media industry or affiliate marketing.
• Preferred: a quantitative degree in statistics, data science, economics, computer science or a related field.

Conditions

The annual base pay range for this role is $140,000 to $160,000 USD.

The role is flexible between in-office and remote work.

The company is an equal opportunity employer. Decisions are made without regard to protected characteristics, including citizenship, sex, race, religion, disability and veteran status.

Benefits

• For US roles, depending on the position, you may be eligible for variable pay such as an annual bonus and restricted stock.
• US benefits may include medical, dental and vision coverage, flexible spending accounts, a 401(k) with company matching, an employee stock purchase plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs.
• For roles outside the US, benefit details are shared during the interview process.