Senior Data Analyst / Data Modeler (San Francisco) Job at TieTalent, San Francisco, CA

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  • TieTalent
  • San Francisco, CA

Job Description

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About ngrok Inc.

At ngrok, we believe that doing networking the right way should also be the easy way. Over the last 10 years, we've given developers and engineers simple interfaces for getting traffic into their apps and APIs without forcing them to deal with legacy proxies, external load balancers, or VPNs, and we're now part of the standard stack for more than 9 million developers at some of the world's top technology brands, like GitHub, Okta, HashiCorp, and Twilio.

About

About ngrok Inc.

At ngrok, we believe that doing networking the right way should also be the easy way. Over the last 10 years, we've given developers and engineers simple interfaces for getting traffic into their apps and APIs without forcing them to deal with legacy proxies, external load balancers, or VPNs, and we're now part of the standard stack for more than 9 million developers at some of the world's top technology brands, like GitHub, Okta, HashiCorp, and Twilio.

Over the last few years, we've completely changed how that interface looks and works to make it easier, more composable, and infinitely flexible. We now give anyone who needs a front door to their apps or APIs powerful tools to orchestrate traffic, secure public endpoints, accelerate their services on a global network, observe all traffic passing to/from their network, and much more. The ngrok that millions love and trust has been completely transformed for the better.

About The Role

As we continue transforming how developers orchestrate and secure their networks, we're building out a world-class data team to help us understand usage patterns, optimize product performance, and guide key business decisions with evidence-not assumptions.

We're looking for a Senior Data Analyst/Modeler who will be instrumental in building our data models, defining key metrics, and uncovering insights that guide both product innovation and go-to-market strategies. You'll work closely with cross-functional teams-from engineering and product to marketing and growth-to help us make smarter, faster decisions backed by data. We expect you to become the resident expert on the product and our customers.

This is a hybrid position based out of our San Francisco office on Tuesdays and Wednesdays.

What You'll Do

  • Design, implement, and maintain clean, reusable, and scalable data models using dbt for all teams across ngrok, from product to GTM and finance.
  • Analyze user behavior, product adoption, and performance across ngrok's core services.
  • Partner with Product, Engineering, and GTM teams to define KPIs and deliver actionable insights.
  • Create dashboards in Superset and reports to communicate trends and uncover opportunities for optimization.
  • Build predictive and diagnostic models to support business planning and user segmentation.
  • Help maintain data integrity and drive best practices in data governance and quality.

What We're Looking For

  • 7+ years of experience in data analytics, business intelligence, or data science.
  • Strong proficiency in SQL and hands-on experience working with business and product teams to build self-service analytics datasets and dashboards.
  • Experience working with high volume, high velocity data sets that model complex, real-world systems
  • Experience with a data modeling tool such as dbt or SQLMesh and an orchestration tool such as Dagster or Airbyte for managing data pipelines.
  • Experience being part of or working with engineering teams and navigating version control (e.g. git), command line tools, and CI
  • Strong experience with BI tools (Superset, Looker, Mode, Metabase, or similar).
  • Ability to translate complex data into clear, actionable insights.
  • Solid communication and collaboration skills-especially in a remote environment.
  • Bonus: Background in supporting product-led growth (PLG) or developer-focused SaaS.

Why ngrok?

  • Work on a product loved by millions of developers around the world.
  • Join a small, high-impact team where your voice matters.
  • Flexible work hours and strong async culture.
  • Competitive compensation, equity, and benefits.
  • A culture that values autonomy, transparency, and deep respect for builders.

Compensation

Tier 1 (SF, LA, Seattle, NYC): Minimum salary of $172,000 to maximum $215,000

Job level and actual compensation will be evaluated based on factors including, but not limited to, qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), internal equity with other team members, market data, and specific work location. We provide an attractive mix of salary and equity.

All candidates must be US-based, and legally authorized to work in the United States.

If your experience is close but doesn't fulfill all requirements, please apply. ngrok is on a mission to build a special company. To achieve our goal, we are focused on hiring people with different backgrounds, perspectives, and experiences!

Benefits

Compensation for this role depends on level, but we provide a competitive mix of salary and equity.

We provide a 401(k) with a 100% match up to 3% of your salary and a 50% match up to another 2%.

We provide healthcare, dental, and vision with premiums fully covered on the base plan for employees. Half of premiums are covered for dependents.

We offer unlimited PTO and a culture in which the overwhelming majority of employees take more than four weeks. Your manager is also on the hook for encouraging you to do the same.

Nice-to-have skills

  • SQL
  • Looker
  • Git
  • San Francisco, California

Work experience

  • Data Analyst
  • Data Scientist

Languages

  • English

Seniority level

  • Seniority level

    Mid-Senior level

Employment type

  • Employment type

    Full-time

Job function

  • Job function

    Information Technology
  • Industries

    Technology, Information and Internet

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Job Tags

Full time, Work experience placement, Work at office, Flexible hours,

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