Analytics Engineer

Logo of One

One

πŸ’΅ $130k-$170k
πŸ“Remote - United States

Job highlights

Summary

Join One's mission to help customers achieve financial progress by creating simple solutions to save, spend, borrow, and grow their money – all in one place.

Requirements

  • Proven Expertise: At least 5 years in analytics, with a deep understanding of dbt, Airflow, or similar tools
  • Technical Mastery: Advanced proficiency in SQL and Python. Comfortable with version control systems like Git
  • Complex Problem Solving: Demonstrated experience in designing and building sophisticated analytical models and data architectures
  • Cross-functional Collaboration: A track record of partnering effectively across various teams to address multi-faceted data challenges
  • Strategic Communication: Ability to articulate complex concepts to technical and non-technical audiences alike
  • Curiosity and Drive: A relentless desire to explore underlying factors and implications, paired with an ownership mindset that thrives on proactive engagement and execution

Responsibilities

  • Design and implement analytical data models optimized for performance at scale, ensuring they seamlessly integrate into our dynamic data ecosystem
  • Orchestrate sophisticated data pipelines to establish efficient, secure data flows
  • Collaborate directly with business stakeholders to convert complex datasets into actionable insights that propel ONE forward
  • Develop and enforce syntactic, performance, and testing benchmarks for scalable analytical deployments
  • Mentor junior team members, fostering a culture of excellence and continuous learning within the analytics team
  • Lead the evolution of ONE’s data stack to meet the growing demands for scale and self-service capabilities, maintaining a cutting-edge technological environment
  • Partner with the Data Engineering team to ensure efficient data integration and system performance across the board

Benefits

  • Competitive cash
  • Benefits effective on day one
  • Early access to a high potential, high growth fintech
  • Generous stock option packages in an early-stage startup
  • Remote friendly (anywhere in the US) and office friendly - you pick the schedule
  • Flexible time off programs - vacation, sick, paid parental leave, and paid caregiver leave
  • 401(k) plan with match

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