[Remote] Senior Data Analyst

Note: The job is a remote job and is open to candidates in USA. Dave is a financial app on a mission to build products that level the financial playing field. As the first Senior Data Analyst, you will establish the reconciliation foundation for Dave's data systems, designing pipelines and anomaly rules to ensure trustworthy financial data.ResponsibilitiesBuild the reconciliation foundation. Design and implement the data infrastructure that reconciles transactions across internal systems (e.g.,operation, ledger) and external partners (ACH networks, banking rails, payment processors), ensuring every dollar in equals every dollar outLead anomaly detection and rules development. Develop and maintain a library of anomaly detection rules — covering timing differences, partial matches, unexpected delays, and true errors — and evolve them over time using ML-based signals as data maturesImplement AI-powered matching. Apply probabilistic and fuzzy matching techniques to automatically resolve ambiguous or near-match transactions, reducing manual review queues and improving straight-through processing ratesFlag and triage unmatched records. Build real-time and batch pipelines that surface unmatched, delayed, or anomalous transactions to the right stakeholders, with enough context for fast resolutionPartner cross-functionally as the technical lead. Serve as the primary data partner for Engineering (system integration and pipeline reliability), Finance/Accounting (period-end close, audit support), and Recon Operations (workflow tooling, exception handling)Define data quality standards. Establish validation frameworks that distinguish expected timing lags from genuine discrepancies, and document data contracts between upstream systemsDrive automation and process improvement. Identify and eliminate manual reconciliation workloads through scalable pipelines, alerting systems, and self-serve tooling for operations teamsElevate the team. Share reconciliation and data quality best practices, mentor analysts, and help establish this function as a core capability within the Analytics orgSkills5+ years of experience in data analytics, data engineering, or financial data roles — ideally with direct exposure to reconciliation, settlements, or financial operationsDeep SQL proficiency and strong Python skills (pandas, PySpark, or equivalent); experience with DBT a plusHands-on experience with Snowflake and/or Databricks, including pipeline development, scheduling, and data modelingFamiliarity with ACH transaction cycles, payment rails, or financial settlement processes — you understand why timing differences exist and how to model around themExperience building anomaly detection logic, whether rule-based, statistical, or ML-drivenExposure to probabilistic/fuzzy matching techniques for entity resolution or transaction matchingStrong cross-functional communication skills — you can translate a data quality issue into clear language for a Finance partner and a technical spec for an EngineerPractical AI/ML knowledge, including supervised and unsupervised methods relevant to reconciliation — anomaly detection (isolation forest, autoencoders), clustering for transaction grouping, and classification models for match/no-match decisionsExperience working with LLMs or AI-assisted tooling (e.g., prompt engineering, LLM-based data extraction, or AI-augmented workflow automation) to accelerate analysis and reduce manual reviewBachelor's degree in a field requiring analytical or structured thinking (e.g., STEM, Economics, Finance); Master's degree preferredExperience in fintech or financial services strongly preferredBenefitsOpportunity to tackle tough challenges, learn and grow from fellow top talent, and help millions of people reach their personal financial goalsFlexible hours and virtual-first work culture with a home office stipendPremium Medical, Dental, and Vision Insurance plansGenerous paid parental and caregiver leave401(k) savings plan with matching contributionsFinancial advisor and financial wellness supportFlexible PTO and generous company holidays, including Juneteenth and Winter BreakAll-company in-person events once or twice a year and virtual events throughout to connect with your team members and leadership teamCompany OverviewDave is a banking app that offers customers banking, financial insights, overdraft protection, and building credit products. It was founded in 2016, and is headquartered in Los Angeles, California, USA, with a workforce of 201-500 employees. Its website is http://www.Dave.com.