FlexHired LogoFlexHired
Logo of OpenPhone

OpenPhone

Staff Analytics Engineer

Job Summary

The role involves building scalable data models, pipelines, and dashboards to provide reliable insights across the organization. The candidate will collaborate with various teams to transform raw log data into actionable metrics and develop data products that enable self-serve analytics. The position requires extensive experience in data engineering, visualization, and data architecture, with a focus on maintaining data quality and integrity. The company emphasizes a remote, inclusive, and growth-oriented environment.

Required Skills

Data Architecture
Data Modeling
SQL
Python
Data Pipelines
Cross-functional Collaboration
Data Visualization
Data Integrity
ETL
Workflow Management
Version Control
Dashboard Design
Data Products
Self-Serve Analytics

Benefits

Flexible PTO
Equity
Medical Coverage
Lifestyle Stipend

Job Description

For millions of teams working in dozens of industries, day-to-day business gets done on the phone. So why — despite the huge leaps we've taken in design and usability — does most business phone software still look, feel, and act like it was born in the 90s? OpenPhone is changing that.

We’re a new type of business phone with a mission to help people communicate better and be more productive.

We’re backed by Y Combinator and some of the best venture firms around including Tiger Global, Craft Ventures, Slow Ventures, and others. We take pride in providing an exceptional customer experience and a product people love, which is why we’re excited that our customers have rated us the #1 VoIP Provider on G2.

OpenPhone is the modern, sophisticated answer to the clunky, outdated phone systems that have been slowing down businesses for years. With thousands of happy customers and several rounds of funding in just five years, it's safe to say we're onto something big.

About the Role

As a Staff Analytics Engineer, you will be an early member of the Data & Analytics team, building the foundation to scale analytics across our organization. You will collaborate with key stakeholders in Product, GTM, Finance, Support and other areas to build scalable solutions to transform data into key metrics, reporting, and insights. You will be responsible for ensuring teams have access to reliable, accurate metrics that can scale with our company’s growth. You will also lead your own projects to enable self-serve insights to help teams make data-driven decisions.

Some of the things you’ll do:

  • Translate stakeholder needs into scalable data models and reporting requirements
  • Define, build, and manage key data pipelines in dbt that transform raw logs into canonical datasets
  • Establish and uphold high data integrity standards and SLAs to ensure timely, accurate delivery
  • Develop insightful and reliable dashboards to track the performance of core metrics that will deliver insights to the whole company
  • Build foundational data products and tools that empower teams to self-serve and explore data independently
  • Influence the future roadmap of cross functional teams from a data systems perspective
  • Become an expert in our organization’s data models and the company's data architecture

About you:

  • 8+ years of experience as an Analytics Engineer or similar Data Science & Analytics roles.
  • A passion for OpenPhone’s mission to give small businesses modern, intuitive tools to connect with customers quickly, build trust, and create lasting relationships
  • Expertise in building multi-step ETL jobs through tooling like dbt; proficiency with workflow management platforms like Airflow and version control management tools through GitHub.
  • Expertise in SQL and Python to transform data into accurate, clean data models
  • Experience designing dashboards and visualizations in tools like Hex, empowering multiple teams with actionable insights
  • A bias for action and urgency, not letting perfect be the enemy of the effective.
  • A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end, even if it requires going outside the original job description.
  • Experience building an Analytics Engineering (or similar) function at start-ups.
  • A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress.
  • Bonus: familiarity with AWS (EC2, S3) and modern data stack best practices

Compensation

The annual base salary range for this position is as follow, plus equity and benefits:

SF Bay Area, Los Angeles, Seattle, Portland, Boston, New York, and Washington, DC Metro: $195,000 - $217,000 USD All other US Locations: $174,000 - $193,000 USD Canada: $198,000 - $220,000 CAD

The ranges displayed reflect the target for new hire salaries, and within each range, individual pay is determined by your skills and experience, as well as relevant education. Your recruiter can share more and answer questions about the specific salary range during the hiring process.

Salary is just one component of OpenPhone’s total compensation package. Your total rewards package will include equity, extensive medical coverage, a monthly lifestyle stipend, and a flexible PTO policy.

Who we are

As a fully remote company, we thrive asynchronously as a team. We are curious, ambitious, and dedicated to our work. We value trust above all else, and have a strong bias for action. If you're looking for a place to do your life's work, please get in touch. We'd love to hear from you.

And remember, there's no such thing as a 'perfect' candidate. We're looking for optimists with grit and determination, who are excited to face the challenges of a growing startup. OpenPhone is the type of company where you can grow, and we encourage you to apply for this role even if you don't think you meet all the requirements.

We are committed to creating an inclusive and diverse work environment. It is important that you are able to bring your authentic self to work every day. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. #LI-Remote

Interested in this job?

Application deadline: Open until filled

Logo of OpenPhone

OpenPhone

Your customer calls, texts, and contacts in an intuitive, AI-powered app that works across all your devices. Trusted by 50k+ businesses.

See more jobs
Date PostedAugust 13th, 2025
Job TypeFull Time
LocationRemote - United States & Canada
Salary$195,000 - $217,000
Exciting remote opportunity (requires residency in Canada) for a Staff Analytics Engineer at OpenPhone. Offering $195,000 - $217,000 (full time). Explore more remote jobs on FlexHired!

Safe Remote Job Search Tips

Verify Employer Thoroughly

Research the company's identity thoroughly before applying. Check for a professional website with contacts, active social media, and LinkedIn profiles. Verify details across platforms and look for reviews on Glassdoor or Trustpilot to confirm legitimacy.

Never Pay to Get a Job

Legitimate employers never require payment for applications, training, background checks, or equipment. Always reject upfront payment requests or demands for bank details, even if they claim it's for purchasing necessary work gear on your behalf.

Safeguard Your Personal Information

Protect sensitive data like SSN, bank details, or ID copies. Share this only after accepting a formal, written job offer. Ensure it's submitted via a secure company system or portal, never through insecure channels like standard email attachments.

Scrutinize Communication & Interviews

Watch for communication red flags: poor grammar, generic emails (@gmail), vague details, or undue pressure. Be highly suspicious of interviews held only via text or chat apps; legitimate companies typically use video or phone calls.

Beware of Unrealistic Offers

If an offer's salary or benefits seem unrealistically high for the work involved, be cautious. Research standard pay for similar roles. Offers that appear 'too good to be true' are often scams designed to lure you into providing information or payment.

Insist on a Formal Contract

Always secure and review a formal, written job offer or employment contract before starting work or sharing final personal details. Ensure it clearly defines your role, compensation, key terms, and conditions to avoid misunderstandings or scams.

Subscribe Newsletter

Never miss a remote job opportunity. Subscribe to our newsletter today and receive exclusive job alerts, career advice, and industry insights delivered straight to your inbox.