Business Intelligence Analyst
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Job Location:
Charlotte, VT - USA
Monthly Salary:
Not Disclosed
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
Business Intelligence Analyst
Charlotte NC
Commercial Credit Group Inc (CCG) is an independent national commercial equipment finance and leasing company focused on purchase money and refinance transactions in the construction fleet transportation waste/environmental and machine tool industries. CCG does equipment financing different than any other lender. We consider the character collateral and cash flow of the borrower to make our credit decisions often allowing us to lend money when a bank or captive lender wont. We realize there are ebbs and flows to the business and take the time to listen to the customers stories. Headquartered in Charlotte NC CCG has made NCs Mid-Market Fast 40 List for the 12th time.
CCG is seeking a Business Intelligence Analyst with strong technical depth and a passion for automation analytics and AI-driven insights. This role sits at the intersection of data engineering analytics and business strategy supporting decision-making across finance operations and executive leadership.
You will work with structured and semi-structured data across databases files and lakehouse platforms build automated workflows and apply AI techniques to improve reporting forecasting and operational efficiency.
This high-visibility role based at our Charlotte North Carolina headquarters includes regular collaboration with senior management and offers strong opportunities for career advancement.
Responsibilities:
- Design build and maintain BI dashboards reports and analytical models
- Develop Python-based data pipelines for ingestion transformation and validation
- Automate recurring data workflows using schedulers orchestration tools or low-code platforms
- Query and optimize data across SQL databases NoSQL systems and lakehouse environments
- Support and enhance lakehouse architectures (e.g. object storage Parquet/Iceberg/Delta)
- Integrate data from multiple sources (databases APIs Excel CSV PDFs SaaS platforms)
- Apply AI/ML and LLM-powered techniques for data extraction summarization anomaly detection and insights
- Partner with business stakeholders to translate requirements into scalable data solutions
- Ensure data quality consistency and governance across reporting layers
- Document data models pipelines and business logic
Qualifications:
- 3 years of experience in Business Intelligence Analytics or Data Engineering
- Strong proficiency in SQL (complex joins CTEs window functions performance tuning)
- Hands-on experience with Python for data processing and automation
- Experience building or supporting automated workflows (Airflow n8n custom schedulers etc.)
- Solid understanding of relational databases (MSSQL PostgreSQL MySQL)
- Experience working with lakehouse or modern data platforms (Parquet Iceberg Delta object storage)
- Familiarity with version control (Git) and deployment best practices
- Ability to communicate technical concepts to non-technical stakeholders
Preferred Qualifications:
- Experience with AI/ML or LLM-based analytics (RAG embeddings document intelligence)
- Experience with NoSQL databases (MongoDB Elasticsearch)
- Exposure to data visualization tools (Power BI Superset Tableau Looker)
- Knowledge of cloud or on-prem hybrid environments
- Experience in finance lending or regulated industries
- Understanding of data security access controls and compliance
What Success Looks Like
- Manual reporting processes replaced with automated reliable pipelines
- Business users trust and self-serve data through clean consistent models
- AI-driven insights reduce turnaround time for analysis and decision-making
- Data architecture scales as the company grows without constant rework
Required Experience:
IC
Key Skills
- Business Intelligence
- Cognos
- SQL
- Power BI
- QlikView
- Data Visualization
- ssrs
- Tableau
- SSIS
- Data Modeling
- Data Warehouse
- Data Analysis Skills
About Company
Commercial Credit Group is a heavy equipment financing company that tailors solutions for construction, manufacturing, transportation & waste businesses.
