Senior Data Analyst ($250k - $300k salary)

Baton CorporationNew York, NY
3h$250,000 - $300,000Onsite

About The Position

Baton Corporation is the development company that builds and operates the entire technology stack behind pump.fun , the largest memecoin launchpad in production today. The systems are low latency, high throughput, live under constant load, and break if you get them wrong. As a Senior Data Analyst, you’ll shape how data informs decision-making across the company. This is a high-impact, high-ownership role focused on driving product and business outcomes through rigorous analysis, strong data foundations, and clear communication.

Requirements

  • 3–6+ years of experience in product analytics, business intelligence, or a similar analytical role.
  • Strong experience in consumer product analytics, with a track record of influencing product or growth decisions.
  • Expert-level SQL skills, including complex joins, window functions, and performance optimisation.
  • Experienced with data modelling and transformation tools such as DBT.
  • Proficient with modern BI and visualisation tools (Omni, Looker, Tableau, Lightdash, or similar).
  • Strong communicator and storyteller, able to distill complex findings into clear, actionable insights.
  • High-agency and comfortable working cross-functionally in fast-moving environments.
  • Comfortable operating in ambiguity, structuring messy problems into clear analytical frameworks.

Nice To Haves

  • Experience in a startup environment, with confidence to surface issues and propose new ideas.
  • Proficiency in Python or R for deeper analysis, modelling, or automation.
  • Experience working with event tracking data, funnel analysis, and behavioural segmentation.
  • Familiarity with version control (Git) and software engineering best practices applied to analytics workflows.
  • Exposure to experimentation platforms, A/B testing frameworks, and causal inference methods.

Responsibilities

  • Own the definition, monitoring, and communication of company-wide KPIs, ensuring alignment across product and leadership.
  • Partner closely with product, engineering, and growth teams to identify opportunities and deliver actionable, data-driven recommendations.
  • Conduct deep analyses on user behavior, operational metrics, and product performance to uncover trends and inform strategy.
  • Design and maintain scalable data models and self-serve dashboards that empower teams to answer their own questions with confidence.
  • Improve tracking and instrumentation quality by proactively identifying data gaps and advocating for best practices in event design and measurement.
  • Translate complex analyses into clear narratives that influence decisions at all levels of the company.
  • Support experimentation efforts by defining metrics, evaluating results, and ensuring analytical rigor.
  • Raise the bar for analytical standards, documentation, and reproducibility across the organisation.

Benefits

  • Unmatched ownership and autonomy
  • Exposure to systems operating at the edge of crypto scale
  • The ability to ship fast and see real-world impact immediately
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