Senior Data Analyst

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop dependable pipelines and dbt models that reconcile transactions across internal ledgers, operational systems, banking partners, ACH networks, and payment processors.

• Create logic for matching and anomaly detection to address timing differences, partial matches, delayed transactions, and reconciliation discrepancies.

• Enhance exception handling by highlighting unmatched or anomalous records with context for investigation.

• Manage reconciliation data definitions, documentation, lineage, testing, and quality standards.

• Streamline manual reconciliation workflows through scalable data products, alert systems, and self-service tools.

• Investigate practical uses of AI and machine learning, focusing on probabilistic matching, anomaly detection, and AI-assisted classification or triage.

• Collaborate with Engineering, Finance, Accounting, and Operations to enhance underlying systems and processes.

• Assist teams in identifying issues sooner, minimizing manual tasks, and ensuring trust in financial data.

⛳️ Requirements

• Over 5 years of experience in analytics engineering, data engineering, financial data, or a related technical field.

• Proficient in SQL with robust experience in dbt or comparable data-transformation frameworks.

• Strong Python programming skills for data modeling, quality assurance, automation, or pipeline development.

• Proven experience in building and sustaining reliable data pipelines and data models at scale.

• Demonstrated ability to independently lead ambiguous projects from problem identification to execution.

• Excellent communication skills with the capacity to explain technical data challenges to engineering and business stakeholders.

• Experience working with intricate transactional or financial datasets.

• Familiarity with reconciliation, settlements, ACH, payment rails, or financial operations is an advantage.

• Experience with Snowflake, Databricks, Airflow, or similar data platforms and orchestration tools is a plus.

• Background in fuzzy or probabilistic matching, anomaly detection, or entity resolution is advantageous.

• Practical experience using machine learning or LLM-based tools in analytics or operational workflows is a plus.

• Experience in fintech or the broader financial services sector is a plus.

• Must have permanent authorization to work in the United States without the need for 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.

• Company-wide in-person events once or twice a year and virtual events throughout the year.

• Opportunity to tackle challenging problems, learn and grow alongside top talent, and assist millions in achieving their personal financial goals.

• Flexible hours and a virtual-first work culture.