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Dave vs. Goliath. We’re Dave.Dave is a financial app on a mission to build products that level the financial playing field. It is redefining the financial landscape by leveraging technology to create an affordable, transparent, and user-centric access to liquidity for millions of Americans. As a leading innovator in the U.S. financial services sector, Dave’s digital financial platform offers products designed to meet the credit needs of those underserved by traditional financial institutions. Dave’s offerings include its flagship ExtraCash product, providing members up to $500 within minutes. The company is on track to launch several new product offerings in 2026, including a Buy Now Pay Later (BNPL) option.Dave is focused on serving Americans who are financially vulnerable or living paycheck to paycheck. Dave is leading the charge in creating a new era of credit products that prioritizes speed, affordability, and accessibility, making it the go-to financial partner for those who need it most.At Dave, data is the foundation of the financial infrastructure we build for millions of members. As our first Senior Data Analyst, you'll establish the reconciliation foundation for Dave's data systems — designing the pipelines, anomaly rules, and AI-powered matching logic that keep our financial data trustworthy and audit-ready. You'll sit at the intersection of data engineering, finance, and operations, serving as the technical lead who helps Engineering, Finance/Accounting, and Reconciliation Operations move faster and catch problems before they become incidents.This role is for someone who thinks in systems, is energized by financial data complexity, and wants to build something foundational from the ground up.What You'll DoDesign 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 out.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 matures.Apply probabilistic and fuzzy matching techniques to automatically resolve ambiguous or near-match transactions, reducing manual review queues and improving straight-through processing rates.Build real-time and batch pipelines that surface unmatched, delayed, or anomalous transactions to the right stakeholders, with enough context for fast resolution.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).Establish validation frameworks that distinguish expected timing lags from genuine discrepancies, and document data contracts between upstream systems.Identify and eliminate manual reconciliation workloads through scalable pipelines, alerting systems, and self-serve tooling for operations teams.Share reconciliation and data quality best practices, mentor analysts, and help establish this function as a core capability within the Analytics org.What You'll Need5+ years of experience in data analytics, data engineering, or financial data roles — ideally with direct exposure to reconciliation, settlements, or financial operations.Deep SQL proficiency and strong Python skills (pandas, PySpark, or equivalent); experience with DBT a plus.Hands-on experience with Snowflake and/or Databricks, including pipeline development, scheduling, and data modeling.Familiarity with ACH transaction cycles, payment rails, or financial settlement processes — you understand why timing differences exist and how to model around them.Experience building anomaly detection logic, whether rule-based, statistical, or ML-driven.Exposure to probabilistic/fuzzy matching techniques for entity resolution or transaction matching.Strong cross-functional communication skills — you can translate a data quality issue into clear language for a Finance partner and a technical spec for an Engineer.Practical 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 decisions.Experience 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 review.Experience in fintech or financial services strongly preferred.Bachelor's degree in a field requiring analytical or structured thinking (e.g., STEM, Economics, Finance); Master's degree preferred.Why You'll Love This JobThis is a greenfield role — you'll define what best-in-class reconciliation infrastructure looks like at Dave, and your decisions will shape how the company manages financial data for years.Every unmatched transaction you catch, every anomaly rule you write, and every manual process you automate has a measurable effect on financial accuracy and operational efficiency.Reconciliation touches everything — member disbursements, ExtraCash collections, banking partner settlements, and period-end close. You'll have visibility into the full financial picture.Timing lags, partial matches, multi-rail money movement — financial reconciliation is one of the most intellectually demanding data challenges in fintech.Accurate, trustworthy financial data underpins every product decision we make. Your work directly supports Dave's mission to level the financial playing field for everyday people.Technologies We Use and TeachSQL, Python, Snowflake, dbt, Airflow, LookerLocation: Remote — open to USAt Dave, our people are just as important as our product. Our culture reflects the values that guide who we are, how we work, and what we aspire to be. Daves are member-centric, helpful, transparent, persistent, and better together. We strive to create an environment where all Daves feel valued, heard, and empowered to do their best work. As a virtual-first company, team members can live and work anywhere in the United States, except Hawaii.A few of our benefits & perks:Opportunity 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 teamDave has established a nationally applicable pay program that recognizes that regardless of where Daves choose to live, their time and effort are of equal value to the company. As such, we utilize base salary ranges that are intended to be competitive in all markets and do not differentiate pay based on employee work location. Actual compensation will vary based on an individual's previous experience, skills and other relevant qualifications.
Optionally, you can add more information later (benefits, pre-screening questions, etc.)