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Lead Data Analyst, Devices; Experimentation

Remote / Online - Candidates ideally in
Coos Bay, Coos County, Oregon, 97458, USA
Listing for: Life360
Remote/Work from Home position
Listed on 2026-03-01
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 195500 USD Yearly USD 195500.00 YEAR
Job Description & How to Apply Below
Position: Lead Data Analyst, Devices (Experimentation)

Why consider this job opportunity

  • Salary up to $195,500 USD for candidates in the US
  • Competitive compensation package that includes medical, dental, vision, financial benefits, and equity
  • Flexible remote work environment, allowing you to work from anywhere within the US and Canada
  • Opportunity for career advancement and professional development in a growing company
  • Work in a mission-driven culture that values integrity, direct communication, and exceptional family experiences
What to Expect (Job Responsibilities)
  • Drive Device growth through data‑driven insights connecting product, pricing, and customer behavior
  • Translate complex analyses into clear, actionable recommendations for senior leadership
  • Establish and govern a unified metrics framework across Devices and Monetization
  • Champion a culture of experimentation by designing and analyzing A/B tests and quasi‑experiments
  • Lead pricing and experimentation initiatives, including price point testing and subscription optimization
What is Required (Qualifications)
  • 8+ years of experience in data analytics within consumer internet or mobile B2C environments
  • Deep experience in subscription‑led and hybrid monetization models, including pricing optimization
  • Demonstrated expertise in pricing strategy and evaluating long‑term revenue and margin impact
  • Strong experience with Bayesian experimentation and hierarchical modeling techniques
  • Advanced proficiency in SQL and Python or R, with experience in cloud data platforms
How to Stand Out (Preferred Qualifications)
  • Experience working with Big Data environments and modern analytics stacks
  • Strong data visualization and storytelling skills using tools such as Tableau or Looker
  • Proven ability to translate ambiguous business problems into structured analytical frameworks
  • Excellent executive communication skills for both technical and non-technical stakeholders

"We prioritize candidate privacy and champion equal‑opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately. We are not the EOR (Employer of Record) for this position.

Our role in this specific opportunity is to connect outstanding candidates with a top‑tier employer."

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