Business Intelligence Reporting Analyst at Piper Companies
San Antonio, Texas, USA -
Full Time


Start Date

Immediate

Expiry Date

27 Oct, 25

Salary

80000.0

Posted On

28 Jul, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Science, Credit Risk, Tableau, Visualization, Computer Science, Data Analysis, Sql, Power Bi

Industry

Financial Services

Description

Piper Companies is seeking a Business Intelligence Reporting Analyst to join a premier financial services organization based in San Antonio, TX. The Business Intelligence Reporting Analyst will be a key contributor on a collaborative analytics team, supporting enterprise-level collections and recovery strategy through data-driven insights. This position is hybrid in San Antonio, TX!

QUALIFICATIONS FOR THE BUSINESS INTELLIGENCE REPORTING ANALYST INCLUDE:

  • 2+ years of experience in a data warehouse environment.
  • Advanced proficiency in SQL and BI platforms such as Tableau or Power BI.
  • Demonstrated expertise in data analysis and visualization.
  • Understanding of credit risk, customer segmentation, and financial KPIs.
  • Knowledge of regulatory frameworks such as FDCPA and CFPB.
  • Bachelor’s degree in Business, Data Science, Computer Science, or a related field (preferred).
Responsibilities
  • Analyze large volumes of collections and recovery data to identify trends, patterns, and anomalies.
  • Create, automate, and maintain reports and dashboards using Excel, SQL, Tableau, and Power BI.
  • Collaborate with collections, credit risk, and operations teams to develop and evaluate strategies aimed at improving debt recovery.
  • Draw actionable conclusions from data analysis to support process optimization and cost reduction.
  • Identify opportunities for segmentation and personalization of collections strategies.
  • Support audit and compliance teams by providing relevant data and documentation.
  • Create written reports, presentations, and visuals that effectively summarize findings and support recommendations.
  • Collaborate with BI and data science teams across departments to pursue shared goals and deepen understanding.
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