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Senior Data Analyst

Data Engineer • Remote • Full-time • 📍 United States

As Dave's first Senior Data Analyst, you'll build the financial reconciliation foundation — designing the pipelines, anomaly rules, and AI-powered matching logic that keep financial data trustworthy and audit-ready.

Responsibilities

  • Design and implement data infrastructure that reconciles transactions across internal systems and external partners (ACH networks, banking rails, payment processors)
  • Develop and maintain a library of anomaly detection rules covering timing differences, partial matches, delays, and true errors
  • Apply probabilistic and fuzzy matching techniques to automatically resolve ambiguous transactions
  • Build real-time and batch pipelines that surface unmatched, delayed, or anomalous transactions
  • Partner as technical lead with Engineering, Finance/Accounting, and Recon Operations
  • Define data quality standards and document data contracts between upstream systems
  • Drive automation to eliminate manual reconciliation workloads through scalable pipelines and alerting
  • Share best practices and mentor analysts

Requirements

  • 5+ years of experience in data analytics, data engineering, or financial data roles, ideally with reconciliation or settlements exposure
  • Deep SQL proficiency and strong Python skills (pandas, PySpark or equivalent); DBT a plus
  • Hands-on experience with Snowflake and/or Databricks
  • Familiarity with ACH transaction cycles, payment rails, or financial settlement processes
  • Experience building anomaly detection logic (rule-based, statistical, or ML-driven)
  • Exposure to probabilistic/fuzzy matching techniques for entity resolution or transaction matching
  • Strong cross-functional communication skills
  • Practical AI/ML knowledge including supervised and unsupervised methods, anomaly detection, clustering, and classification
  • Bachelor's degree in a STEM, Economics, or Finance field

Nice to have

  • Experience in fintech or financial services
  • Experience with LLMs or AI-assisted tooling (prompt engineering, LLM-based data extraction)
  • Master's degree

Soft skills

Systems thinkingCross-functional communication with finance and technical audiencesMentorship and knowledge sharingOwnership and a greenfield, build-from-zero mindset

What we offer

  • Flexible hours and virtual-first work culture with a home office stipend
  • Premium medical, dental, and vision insurance plans
  • Generous paid parental and caregiver leave
  • 401(k) savings plan with matching contributions
  • Financial advisor and financial wellness support
  • Flexible PTO and generous company holidays
  • Company events once or twice a year in person, plus virtual events throughout the year

About the company

Dave is a US financial app on a mission to build affordable, transparent, user-centric access to liquidity for Americans underserved by traditional financial institutions. Its flagship ExtraCash product gives members up to $500 within minutes.

Education: Alapszakos diploma (STEM, közgazdaságtan vagy pénzügy); mesterdiploma előny

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