TransUnion is looking to solve business problems in the consumer lending lifecycle by developing and automating analytical reporting, leading descriptive and prescriptive analytics, and building interactive dashboards to enhance product performance.
Requirements
- Proficiency in Microsoft Excel, SQL, and PowerPoint.
- Strong analytical skills with the ability to extract insights from data and craft compelling client narratives.
- Python-based scripts for data extraction and statistical analysis
- AWS Redshift
- Tableau
Responsibilities
- Develop and automate analytical reporting using SQL on large, complex datasets; apply relational database concepts for data synthesis and segmentation.
- Lead descriptive and prescriptive analytics across the consumer lending lifecycle, utilizing techniques such as scenario modeling, sensitivity analysis, and segmentation.
- Build and optimize Python-based scripts for data extraction and statistical analysis on server and cloud platforms; manage end-to-end BI deliverables in AWS Redshift.
- Create interactive dashboards with Tableau, analyze industry trends, and collaborate cross-functionally to enhance product performance and support technical ad-hoc projects.
Other
- Bachelor’s degree in Economics, Finance, Statistics, Mathematics, or a related field preferred
- 2 years of experience in data analytics, financial services, or consulting.
- Excellent verbal and written communication skills for regular interaction with internal and external stakeholders.
- Adherence to Company policies, sound judgment and trustworthiness, working safely, communicating respectfully, and safeguarding business operations, confidential and proprietary information, and the Company’s reputation
- Regular, fulltime non-sales positions may be eligible to participate in TransUnion’s annual bonus plan.
