Senior Data Analyst, Onboarding

Data Analyst

Senior Data Analyst, Onboarding

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  • Date posted
    February 10, 2026
  • Expiration date
    May 10, 2026
  • Application ends
    May 10, 2026

The Senior Data Analyst for Onboarding will play a foundational role in shaping and structuring our onboarding analytics from the ground up. You will bring clarity and structure to a complex, evolving area of the business. You’ll create the insights, tools, and metrics that help teams deliver faster, smoother onboarding experiences at scale—directly influencing both operational improvements and strategic direction.

Responsibilities

  • Own the development of a robust reporting framework for Onboarding, bringing structure and scalability to a currently fragmented ecosystem
  • Partner closely with onboarding, product, and data teams to define key onboarding metrics, build dashboards, and enable self-serve analytics
  • Identify bottlenecks, inefficiencies, and opportunities across the onboarding journey using data
  • Deliver insights to stakeholders across the company, from front-line teams to senior leadership, to inform strategic decisions and process improvements
  • Develop, maintain, and optimize reporting tools in Looker (or other BI tools), ensuring data is both reliable and actionable
  • Collaborate with data engineers and analytics engineers to model onboarding data and ensure pipelines are accurate and aligned with business logic

 

Desired skills and competencies

  • Bachelor’s degree in a quantitative field (e.g. Math, Economics, Computer Science, Engineering, etc.)
  • 5+ years of experience in an analytical role, with at least some exposure to operational or product-facing analytics
  • Advanced SQL skills and experience working with large datasets
  • Excellent communication skills and a proven ability to turn complex data into compelling narratives for a range of stakeholders
  • Experience with BI tools (we use Looker) and dashboard development
  • Familiarity with data modeling, metric design, and scalable reporting architectures
  • Comfort operating in ambiguity and helping define success metrics where none yet exist
  • Experience with dbt, LookML, and version control tools (Git, GitHub, etc.)
  • Prior experience in high-growth B2B SaaS environments
  • Familiarity with customer journey analytics and lifecycle tracking
  • Are you interested in this position?

     

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