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Sr. Data Analyst

ORIX

Job Location:

Chicago, IL - USA

Monthly Salary: Not provided by the employer

Posted: 1 October 2026 (Yesterday)

Application Deadline: 29 December 2026

Vacancies: 1 Vacancy

Job Summary

One of Airetel Staffings valued clients is looking for a Sr. Data Analyst located in Chicago IL.

Senior Data Analyst Data Solutions
Location: Chicago IL (or willing to relocate)
Employment Type: Contract Contract to Hire

Purpose and Role Summary
The Senior Data Analyst will play a key role in delivering data engineering integration and analytics capabilities supporting the clients direct lending platform. This role sits at the intersection of technology and business enabling data-driven decision-making across originations loan servicing portfolio monitoring and investor reporting.
The position requires a hands-on technical leader with strong domain expertise in commercial lending and private credit combined with the ability to collaborate cross-functionally and deliver scalable automated data solutions.
This role is ideal for a candidate who can translate complex business requirements into high-quality data pipelines curated datasets and reporting solutions while contributing to broader platform modernization efforts.

Essential Duties and Responsibilities
Data Engineering & Delivery

Design develop and maintain SQL-based data models ETL/ELT pipelines and integrated data solutions leveraging the Microsoft Stack (Platforms and Tools)
Build and optimize data pipelines using:
- Microsoft SQL Server
- SSIS and/or Azure Data Factory
- Azure Data Lake / Synapse Analytics
Leverage modern data processing frameworks (e.g. Databricks / Spark) where applicable
Develop and maintain curated datasets and data models to support enterprise reporting and analytics
Ensure scalability performance and maintainability of data solutions

Data Quality Controls and Governance

Implement and enforce data quality checks validation rules and reconciliation processes
Ensure consistency and integrity across data assets used for reporting and analytics
Maintain documentation for data pipelines business logic and data models
Support adoption of standardized data governance practices and controls

Business Partnership & Domain Alignment

Partner with stakeholders across:
- Portfolio Management
- Investor Reporting
- Finance & Accounting
- Originations and Underwriting
Translate private credit and lending requirements into scalable data solutions
Support use cases across the lending lifecycle including:
- Deal origination and underwriting
- Loan servicing and borrower monitoring
- Portfolio performance tracking
- Investor reporting and fund analytics
Provide insights and analysis using loan-level and portfolio-level datasets

Reporting & Analytics Enablement

Develop and support Power BI datasets dashboards and reporting solutions
Enable self-service analytics through well-structured governed datasets
Support business-critical reporting including:
- Portfolio monitoring
- Investor reporting
- Operational and performance analytics
Ensure clear data lineage transparency and usability of enterprise data assets

Project Delivery & Execution

Support delivery of multiple concurrent initiatives across:
- Data engineering
- Reporting enhancements
- Platform modernization
Collaborate with cross-functional global teams to manage:
- Requirements gathering
- Development and testing
- Deployment and post-production support
Contribute to structured delivery practices including tracking milestones dependencies and risks

Team Collaboration & Leadership

Act as a senior individual contributor and technical lead for data initiatives
Provide guidance and mentorship to junior team members and developers
Collaborate effectively with distributed teams (onshore/offshore model)
Contribute to knowledge sharing documentation and standardization efforts

Required Qualifications

Bachelors degree in Computer Science Data Engineering Information Systems Finance or related field
10 years of experience in:
- Data engineering
- Data warehousing
- Business intelligence or analytics
Minimum 5 years of experience within financial services preferably:
- Private credit
- Commercial lending
- Direct lending or asset management

Technical Skills

Strong expertise in:
- SQL Server (advanced T-SQL query optimization stored procedures)
- ETL development (SSIS and/or Azure Data Factory)
- Data warehousing and dimensional modeling
Experience with Azure data platform (Data Lake Synapse or similar)
Exposure to Databricks or distributed data processing frameworks
Experience with BI tools (Power BI preferred)
Experience with Agentic AI based Software Development approach

Domain Expertise

Strong understanding of:
- Lending lifecycle (origination to servicing and monitoring)
- Loan products (e.g. term loans revolvers)
- Portfolio and investor reporting
Experience working with loan servicing systems such as FIS WSO or similar platforms as well as other platforms such as Salesforce Oracle etc.

Core Competencies

Analytical Thinking: Ability to break down complex data challenges into actionable solutions
Business Acumen: Understanding of how data supports lending operations risk management and investor reporting
Communication: Ability to translate technical concepts into business-relevant insights
Execution: Strong ownership mindset with ability to deliver high-quality work across multiple priorities
Collaboration: Proven ability to work effectively across business and technology teams

Preferred Qualifications

Experience in private credit or middle-market lending environments
Exposure to cloud modernization or enterprise data platform transformation initiatives
Familiarity with data governance frameworks and best practices
Experience working in hybrid onshore/offshore delivery models

Airetel Staffing Inc. is nationally recognized as Best of Staffing - Diamond Award Winner. For more details or to view other opportunities visit us at or call .

Required Experience:

Senior IC

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