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Business Intelligence & Analytics Intern

Kurv
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Kurv is a modern payments fintech company delivering simple, reliable merchant services to businesses across a wide range of industries. As the payments landscape continues to evolve, Kurv helps merchants grow by making payment acceptance secure, scalable, and easy—while creating opportunities for employees to build innovative solutions in a collaborative, forward-thinking environment.

 

Purpose

To establish a structured internship program within Business Intelligence & Analytics focused on embedding AI-enabled insight generation into core reporting workflows while maintaining data governance, confidentiality, and operational discipline.

Scope

This policy applies to all Business Intelligence & AI Summer Interns, supervisors, and cross-functional stakeholders participating in the 7-week program.

Program Structure

  • Duration: 7 weeks
  • Classification: Paid internship
  • Reporting Line: BI/Analytics Manager with FP&A Executive Sponsor
  • Functional Alignment: FP&A, Risk, Sales, Operations

Program Objectives

The program is designed to:

  • Develop practical understanding of KPI frameworks in a fintech environment
  • Enable hands-on experience in driver analysis and anomaly detection
  • Prototype AI-assisted insight generation embedded into reporting workflows
  • Improve clarity, speed, and scalability of analytics outputs
  • Deliver at least one high-impact analytics or AI-enabled enhancement

Data Governance & Risk Controls

Because AI plus payments data equals risk if unmanaged:

  • Role-based access to production data
  • No external AI tool use with sensitive or merchant-identifiable information unless approved and secured
  • Supervisor review required before distributing AI-generated summaries
  • Documentation of model logic, assumptions, and prompts required
  • Clear audit trail of data transformations and AI workflows

Capstone Requirement

Each intern must complete a scalable, documented project such as:

  • AI-assisted KPI driver detection prototype
  • Automated plain-English insight generator
  • Anomaly detection enhancement
  • Dashboard enhancement with embedded AI commentary

Performance Management

  • Midpoint review (Week 4)
  • Final evaluation (Week 7)
  • Assessment based on analytical rigor, business relevance, communication clarity, and governance discipline