Position Details
About this role
Senior Data Analyst — Commercial Lending to own end-to-end analytics for the commercial lending portfolio, build scalable reporting, and partner across teams to optimize credit strategy and profitability.
Key Responsibilities
- Own portfolio performance analytics across lifecycle
- Build executive dashboards
- Partner with Data Engineering on models and pipelines
- Monitor credit risk and macro impacts
- Translate analytics into credit policy and operations improvements
Technical Overview
Strong technical data skills with SQL and Python, and experience with dbt, Airflow, and modern data stacks (Snowflake/BigQuery/Redshift). Focus on portfolio analytics, cohort analysis, dashboards, and data governance.
Ideal Candidate
The ideal candidate is a senior data analyst with 3+ years of commercial lending analytics experience, strong SQL and Python skills, and a track record of building scalable analytics solutions (dbt, Airflow, Snowflake/BigQuery/Redshift). They should partner well with cross-functional teams to turn performance insights into policy and profitability improvements.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 3 years of Commercial lending analytics experience, Lack of SQL or Python proficiency, Refusal to work remotely (if required)
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