Senior Data Analyst, Client Reporting
Hello Heart
AirflowApachePythonSQLTableau
Salary
💰 $140,000 - $180,000 per year
Job Level
Mid-LevelSenior
Tech Stack
AirflowPythonSQLTableau
About the role
- Drive improvements in collections performance through in-depth analysis of delinquency trends, roll rates, and recovery outcomes
- Design, build, and maintain portfolio performance dashboards and internal collections manual review dashboards that track key collections metrics, alert on anomalies and communicate potential risks to leadership
- Perform deep-dive analyses on delinquency and repayment behaviors and provide actionable recommendations to strengthen collections strategies and controls
- Partner with Product and Engineering to design and test collections process automation and tooling
- Support collections model development by preparing performance datasets, validating model outputs, and tracking predictive accuracy over time
- Forecast collections losses, delinquency rates, roll rates, and recoveries using statistical and data-driven methods and recommend mitigation strategies
- Assist in designing, building, and maintaining scalable data pipelines and infrastructure across batch and streaming systems, and support external data integrations and log consumption from third-party vendors
- Collaborate with cross-functional teams to strengthen overall collections performance and stay current on industry delinquency trends and best collections practices
Requirements
- 4 years of experience in an analytical role with focus on collections, risk, or recoveries
- Strong SQL skills and experience working with large datasets (Snowflake, dbt, or similar a plus) including experience with external data integrations and log consumption
- Experience with dashboarding and visualization tools (Looker, Tableau, etc.)
- Familiarity with collections typologies (early-stage delinquency, chronic delinquency, roll rates, re-defaults, recovery strategies, etc.)
- Strong analytical, investigative, and problem-solving skills with the ability to connect data to real-world collections/ delinquency scenarios
- Excellent communication skills — able to translate findings into clear recommendations
- Comfort in a fast-paced startup environment where priorities shift quickly
- Nice to have: Experience in fintech, high-growth startups, or customer-facing data products
- Nice to have: Familiarity with Python or R for data analysis and collections & recovery modeling
- Nice to have: Familiarity with data pipeline orchestration tools (e.g., Airflow, dbt)
- Nice to have: Experience working with unstructured data sources
- Nice to have: Understanding of data warehousing concepts and infrastructure
- Nice to have: Understanding of machine learning concepts as applied to collections
