Senior Data Analyst

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $150k - $187k / year

⏰ Full Time

🟠 Senior

📉 Data Analyst

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

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Dave

WebsiteLinkedInAll Job Openings

201 - 500 employees

💳 Fintech

🏦 Banking

👥 B2C

Fintech • Banking • B2C

Dave is a financial services company that aims to provide a fair and affordable banking experience for individuals who feel overlooked by traditional banks. The company was founded on the belief that banks have built products that are often predatory, exemplified by high overdraft fees. In an effort to combat this, Dave offers features like $500 advances, fee-free goal tracking, and support for individuals seeking side hustles to improve their financial situations. Their mission revolves around leveling the financial playing field and making financial solutions accessible to everyone.

📋 Description

• Build reliable pipelines and dbt models reconciling transactions across internal ledgers, operational systems, banking partners, ACH networks, and payment processors • Develop matching and anomaly-detection logic for timing differences, partial matches, delayed transactions, and reconciliation breaks • Improve exception handling by surfacing unmatched or anomalous records with investigation context • Own reconciliation data definitions, documentation, lineage, testing, and quality standards • Automate manual reconciliation workflows through scalable data products, alerting, and self-serve tools • Explore practical applications of AI and machine learning, including probabilistic matching, anomaly detection, and AI-assisted classification or triage • Partner with Engineering, Finance, Accounting, and Operations to improve underlying systems and processes • Help teams identify issues earlier, reduce manual work, and maintain confidence in financial data

🎯 Requirements

• 5+ years of experience in analytics engineering, data engineering, financial data, or a related technical discipline • Advanced SQL and strong experience with dbt or similar data-transformation frameworks • Strong Python skills for data modeling, data quality, automation, or pipeline development • Experience building and maintaining reliable data pipelines and data models at scale • Experience independently leading ambiguous projects from problem definition through implementation • Strong communication skills and ability to translate technical data issues for engineering and business partners • Experience working with complex transactional or financial datasets • Experience with reconciliation, settlements, ACH, payment rails, or financial operations is a bonus • Experience with Snowflake, Databricks, Airflow, or similar data platforms and orchestration tools is a bonus • Experience with fuzzy or probabilistic matching, anomaly detection, or entity resolution is a bonus • Practical experience applying machine learning or LLM-based tools to analytics or operational workflows is a bonus • Fintech or broader financial-services experience is a bonus • Must be permanently authorized to work in the United States without visa sponsorship

🏖️ Benefits

• Equity • 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, including Juneteenth and Winter Break • All-company in-person events once or twice a year and virtual events throughout • Opportunity to tackle tough challenges, learn and grow from fellow top talent, and help millions of people reach their personal financial goals • Flexible hours and virtual-first work culture