About Arlo:
At Arlo, we're passionate about creating innovative and reliable solutions that help people protect what matters most to them. Our team is dedicated to delivering products that exceed our customers' expectations, while always pushing the boundaries of what's possible in the world of protection technology. We believe that everyone deserves to feel safe and secure, whether they're at home or away, and we're committed to providing our customers with the peace of mind they need to live their lives without worry. Arlo’s deep expertise in AI- and CV-powered analytics, cloud services, user experience, product design, and innovative wireless and RF connectivity enables the delivery of a seamless, smart security experience for Arlo users that is easy to set up and interact with every day.
At Arlo, we’re redefining how people protect their homes and families. As a leader in smart home security, our portfolio of connected cameras, doorbells, and cloud services powers safer environments for millions of users around the world. We’re scaling our data organization in the Bay Area to deepen insights across our product, subscription, and hardware experiences—fueling smarter decisions and a better customer journey at every touchpoint.
The Role
We're looking for a Senior Data Analyst to join our fast-paced, insight-driven Product & Business Analytics team. In this role, you'll take ownership of complex, high-impact projects, provide thought leadership across business domains, and contribute directly to product, marketing, and customer experience strategies.
This is a high-visibility role ideal for someone with a proven track record of delivering analytical value in consumer tech or SaaS environments, particularly those with a mobile and/or connected hardware footprint.
What You’ll Do
Analyze user behavior across our ecosystem of connected devices and subscription services to uncover insights, surface growth opportunities, and identify product risks.
Build dashboards and reporting frameworks in SQL, Tableau and Databricks to monitor critical KPIs, including:
Subscription funnel performance
Retention & churn
Monthly active users (MAU)
Customer lifetime value (LTV)
Average revenue per user (ARPU)
Drive experimentation strategy—design and interpret A/B tests, collaborating with product managers and engineers to guide roadmap decisions.
Partner with lifecycle marketing to segment customer cohorts and assess campaign performance with clear attribution.
Contribute to event instrumentation design and data QA, working closely with data engineers to ensure high-quality tracking and scalable data models.
Deliver actionable insights through well-structured narratives, compelling data visualizations, and clear communication with technical and non-technical audiences.
What You’ll Bring
6-8 years of analytics experience, with increasing responsibility in fast-paced, cross-functional environments
Advanced SQL skills—you write efficient, scalable queries across large datasets
Proficiency in modern BI tools (Tableau and Databricks preferred; Looker, Power BI, etc. also valued)
Deep familiarity with subscription metrics and experience working with mobile and B2C datasets
Proven ability to lead analytical work independently—from scoping questions to delivering impact
Strong business acumen and ability to partner closely with Product, Marketing, and Engineering teams
Excellent communication skills—you know how to bring data to life and drive decisions
Bonus Points For
Experience in smart home, IoT, or hardware + SaaS business models
Comfort with Python or R for deeper analytics or prototyping
Familiarity with event-based product analytics tools (e.g., Amplitude, Mixpanel)
Hands-on knowledge of experimentation design and evaluation frameworks
Why Arlo
Join a company at the intersection of hardware, cloud, and AI-powered services
Work on meaningful challenges with real-world customer impact
Be part of a nimble and collaborative data team with global influence
Enjoy competitive compensation, comprehensive benefits, and opportunities for growth within a public company
Thrive in a hybrid, Bay Area-based environment with strong executive support for data-driven decision-making
Ready to help build the next generation of smarter, safer homes?
We’d love to hear from you. Apply today and bring your analytics superpowers to Arlo.
The pay range for this position reflects the minimum and maximum target for new hire salaries at commencement of employment and is expected to be between USD$130,000-160,000/year. However, base pay offered may vary depending on multiple factors, including role, job-related knowledge, skills, relevant education and experience.
We’re committed to inclusivity and selecting the strongest candidate—no matter their background. Even if you don’t meet every listed qualification, we encourage you to apply. We’re happy to support growth in areas essential to the role. Interested in learning more about our workplace? Visit and follow our LinkedIn, and Glassdoor pages to read employee insights and get updates of what it’s like to be part of Arlo.
Arlo is proud to be an Equal Opportunity Employer. We value inclusion and are committed to inclusive, and harassment-free workplace. We prohibit discrimination and harassment based on all legally protected statuses in all hiring and employment.
We provide reasonable accommodations to applicants and employees with disabilities, who are pregnant or have a related medical condition, or who have sincerely held religious beliefs, observances, and practices. Pursuant to applicable state and municipal Fair Chance Laws and Ordinances, the Company will consider for employment qualified applicants with arrest and conviction records.
Arlo Technologies San Jose, California, USA Office
3030 Orchard Pkwy, San Jose, CA, United States, 95134
Similar Jobs
.png)
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
