Senior Data Analyst

📋 Description

• Develop matching and anomaly-detection logic for timing differences, partial matches, delayed
• Build reliable pipelines and dbt models that reconcile transactions across internal ledgers
• Improve exception handling by surfacing unmatched or anomalous records with the context teams need
• Own core reconciliation data definitions, documentation, lineage, testing, and quality standards so
• Identify opportunities to automate manual reconciliation workflows through scalable data products
• Explore practical uses of AI and machine learning, including probabilistic matching, anomaly

🎯 Requirements

• 5+ years of experience in analytics engineering, data engineering, financial data, or a related
• 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 the ability to translate technical data issues for both engineering

🎁 Benefits

• Opportunity to tackle tough challenges, learn and grow from fellow top talent, and help millions of
• 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