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About
Key Responsibilities Data Modeling & Transformation
Build and maintain scalable data models in Snowflake and PowerBI using SQL, Power Query (M), and DAX following dimensional modeling best practices
Transform raw source data from Salesforce, loan origination systems, and payment processors into clean, analytics-ready datasets
Ensure data accuracy, consistency, and completeness across all data pipelines and models
Document data models, table definitions, and business logic in a shared data catalog
Business Intelligence & Reporting
Develop and maintain Power BI dashboards and reports for stakeholders across lending, risk, finance, and operations
Create self-service BI resources enabling business users to explore loan portfolio KPIs independently
Partner with analysts to translate business questions into well-structured, performant queries and visuals
Monitor dashboard performance and troubleshoot data discrepancies in a timely manner
Data Quality & Governance
Implement data quality checks and alerting to proactively identify pipeline issues
Follow and contribute to data governance standards including naming conventions, access controls, and lineage tracking
Participate in code reviews and help enforce engineering best practices
Qualifications Required
1–2 years of experience in data engineering, analytics engineering, or a closely related role
Proficiency in SQL - ability to write queries involving joins, aggregations, window functions, and CTEs
Hands-on experience with Power BI including data modeling (star schema), Power Query, DAX measures, and report publishing
Familiarity with Snowflake or another cloud data warehouse (BigQuery, Redshift)
Familiarity with Encompass and Salesforce
Basic understanding of Salesforce data objects and SOQL
Strong attention to detail and a commitment to data accuracy
Ability to communicate technical findings clearly to non-technical stakeholders
Preferred
Knowledge of financial services or lending concepts (LTV, APR, delinquency, originations)
Familiarity with Python for data manipulation, pipeline scripting, and custom visualizations
Exposure to ELT/ETL tools such as Fivetran, Airbyte, or similar
Bachelor’s degree in Computer Science, Data Science, Mathematics, Finance, or equivalent experience
Data Warehouse:
Snowflake
BI / Reporting:
Microsoft Power BI
What We Offer
Competitive base salary ($70,304 – $90,000) with annual performance bonuses
Equity participation in a high-growth fintech company
Comprehensive health, dental, and vision insurance
401(k) with company match
Flexible hybrid work environment with home office stipend
$1,500 annual learning & development budget (certifications, conferences, courses)
Mentorship from senior analytics and data engineers
Clear career progression pathways toward Analytics Engineer II and beyond
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Languages
- English
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