Data Analyst

Junior AINew York, NY
Onsite

About The Position

We’ve built Junior this far through strong product instincts, speed, and founder intuition, but instinct only gets you so far... As our first dedicated data hire, you’ll build the analytics foundation that helps us understand what’s really driving the business - what users love, what makes customers retain, where deals are won/lost, and where we should focus next. You won’t just be building dashboards. You’ll be helping shape how one of the fastest-growing AI startups in NYC actually makes decisions. This is a foundational role with massive visibility and ownership.

Requirements

  • Based in NYC, and excited to be in office 5 days / week
  • Strong data analytics skillset
  • SQL
  • Python for data wrangling, analysis and visualization (pandas, matplotlib / plotly etc)
  • BI or dashboarding tool - Metabase, Looker, Tableau, or similar
  • AI-forward: experience vibe coding and using AI tools
  • Has worked with product analytics platforms like Amplitude, Mixpanel, or equivalent - comfortable with event-level data and funnel analysis
  • Experience working directly with CRM or similar data
  • Strong communicator who can tell a clear story with data - our commercial stakeholders are smart but non-technical, and they’ll rely on you to make the numbers make sense
  • Self-directed and comfortable with ambiguity - there’s no existing data team to hand off to; you’ll define the questions as often as you answer them

Nice To Haves

  • Bonus points for experience in B2B SaaS, fintech, or enterprise software where usage data is complex and customer segments vary widely

Responsibilities

  • Feature adoption & engagement analysis: identify which features drive retention and which are dead weight - slice by firm type, user role, and tenure to give our Product team clear prioritisation signals.
  • Churn & health scoring: build a customer health model that scores accounts by risk using product usage signals (logins, feature depth, search volume) and flags at-risk accounts to Customer Success before they churn.
  • CRM data quality & enrichment: audit and clean our CRM data, build pipelines to keep it in sync with product usage, and ensure our Sales team always has accurate, up-to-date context on every account.
  • Sales funnel analysis: map our full acquisition funnel from first touch to closed-won, identify where deals are stalling, and surface the product usage patterns that predict conversion.
  • Executive reporting: build a weekly data digest for leadership covering revenue, usage, pipeline health and key anomalies - replacing ad hoc spreadsheets with a reliable, automated view of the business.

Benefits

  • All the usual benefits (competitive pay and equity, private healthcare etc), but also unusual benefits:
  • Incredibly strong equity
  • Gym membership
  • In-office cook
  • Summers working in Greece by the beach
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