Growth Analyst (NYC Hybrid)

Responsibilities

Identify what questions are worth asking—not just how to answer them.
Challenge analytical assumptions; push back when the data doesn’t support the narrative.
Connect title-level findings to catalog-level patterns and propose strategic moves.
Think across projects simultaneously—bring structure to ambiguous problems and know when to escalate.
Design and execute end-to-end market tests and product experiments.
Maintain a rigorous, consistent testing cadence with documented hypotheses and outcomes.
Translate successful test results into scalable, business-wide practice.
Turn data into decisions—connect analytical findings to concrete business outcomes.
Translate messy business questions into structured analytical approaches.
Develop insights that set strategy for the business: clear, actionable, no noise.
Hands-On Analytical Work
Query and interrogate large structured datasets directly using SQL.
Build repeatable, documented analytical workflows that others can trust and build on.
Stay ahead of AI and generative AI tools—identifying where LLMs, automation, and prompting create real leverage.

Requirements

• Self-starter who takes ownership of work end-to-end.
• Hands-on experience with generative AI tools; prompt-writing a plus.
• Bachelor’s degree in Business, Statistics, Mathematics, Economics, or a related field—or equivalent work experience.
• 2–3 years of hands-on analytical experience.
• Strong SQL skills and advanced Excel proficiency.
• Comfortable working with cross-functional partners and communicating findings to non-technical audiences.
• Familiarity with marketing and sales funnels, KPIs, and optimization strategies.
• Able to design and interpret basic experiments—reasoning about variance, bias, and directional vs. causal confidence.
• Experience integrating LLMs into data or automation workflows.
• Familiarity with digital marketing channels and how to measure them.
• Background in publishing, media, or e-commerce.
• Experience with pricing optimization or managing large product catalogs.

Qualifications

• Strongly Desirable: Python for analysis and automation.

Skills

• Strong SQL skills and advanced Excel proficiency.
• Experience with generative AI tools.
• Experience with pricing optimization or managing large product catalogs.
• Familiarity with digital marketing channels and how to measure them.
• Experience with LLMs and automation.

Benefits

The salary range for this position is $80,000-$95,000. We recognize that attracting the best talent is key to our strategy and success as a company. As a result, we aim for flexibility in structuring competitive compensation offers to ensure we are able to attract the best candidates. The company provides a comprehensive and highly competitive benefits package, with a variety of physical health, retirement and savings, caregiving, emotional wellbeing, transportation, and other benefits, including "elective" benefits employees may select to best fit the needs and personal situations of our diverse workforce.