JXvUc9SDx BPZd GQqV9h4z, Financial Analytics — Greater St. Louis

nzpBr7stR aerq P5gGDZSF – Credit Analytics

Build Data Solutions. Work with Modern Data Technologies. Grow Your Career.

Location: St. Louis, MO

Experience: 1–2 Years

Education: Bachelor's degree or equivalent experience

About the Opportunity

We're looking for an early-career AJHvDtYta wjkp AFpEEpwk to join a collaborative technology team within an established financial services organization. This is an opportunity to work at the intersection of data engineering, analytics, and financial services while developing solutions that support credit reporting, portfolio monitoring, and business decision-making.

You'll work alongside experienced developers and business partners to build and maintain data pipelines, develop data models, automate processes, and create reporting solutions. You'll also have the opportunity to contribute to a migration to Snowflake and gain hands-on experience with modern data technologies.

If you enjoy working with data, solving technical problems, and finding ways to make processes more efficient, this could be a great next step in your career.

What You'll Do

• Develop and maintain SQL queries, database views, stored procedures, and ETL processes.

• Build and support data pipelines that integrate, transform, and organize information from multiple sources.

• Assist with the migration of existing data solutions to Snowflake.

• Create scalable data models that support reporting, analytics, and business intelligence.

• Develop and maintain Power BI dashboards and reports using DAX.

• Use Python and SQL to automate data processing and improve operational efficiency.

• Participate in the full development lifecycle, including design, development, testing, deployment, and maintenance.

• Troubleshoot data issues and help ensure accuracy, consistency, and reliability.

• Collaborate with developers, analysts, and business stakeholders to understand requirements and deliver effective solutions.

• Maintain technical documentation and follow established development standards.

Technology You'll Work With

• SQL, T-SQL and Microsoft SQL Server

• Snowflake

• Python

• ETL and data pipelines

What We're Looking For

• Bachelor's degree in computer science, Information Systems, or a related field, or equivalent practical experience.

• 1–2+ years of professional software development experience.

• Hands-on experience with SQL and Python.

• Familiarity with relational databases and data management concepts.

• Exposure to ETL processes, data integration, or data pipeline development.

• Interest or experience with Snowflake and cloud-based data platforms.

• Strong analytical and problem-solving skills.

• Ability to manage multiple priorities and work collaboratively with a development team.

• Strong written and verbal communication skills.

Banking or financial services experience is a plus but not required.

Why Join the Team?

You'll gain exposure to real-world data engineering initiatives in a financial services environment, work with experienced technical professionals, and contribute to projects that directly support credit analytics and risk management. This is a great opportunity for someone early in their career who wants to strengthen their SQL and Python skills, gain experience with Snowflake, and build a foundation in data engineering and analytics.