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Credit Analyst

Posted April 10, 2026
Contract Mid-Senior Level

Job Overview

Data & Analytics Analyst (Contract) – Consumer Banking

We are seeking a detail-oriented Data & Analytics Analyst to support key initiatives within a Consumer Banking environment. This role will focus on data discovery, performance analysis, and reporting to drive tactical improvements across the customer lifecycle.

This is a great opportunity for someone who enjoys working at the intersection of data, business strategy, and process optimization.

Key Responsibilities

Data Analysis & Process Optimization

  • Develop a strong understanding of internal and external data flows supporting business initiatives
  • Identify, access, and connect to data sources including data warehouses and third-party platforms
  • Evaluate existing tools, systems, and platforms used to support analytics and reporting
  • Analyze current business rules, logic, and system configurations to identify inefficiencies or opportunities for improvement
  • Map data movement across systems throughout the customer/account lifecycle
  • Execute data queries to validate accuracy, completeness, and integrity of datasets

Analytics & Reporting

  • Analyze performance metrics to measure success of initiatives and validate expected outcomes
  • Monitor portfolio health indicators including growth, profitability, and credit performance
  • Develop and maintain KPI reporting across key business areas such as marketing, underwriting, and account management
  • Build forecasting models to evaluate the financial impact of proposed solutions
  • Establish reporting cadence and define metric ownership across stakeholders
  • Create, execute, and validate recurring reports, ensuring alignment with business and system records
  • Perform ad hoc analysis to uncover trends, behaviors, and performance drivers

Stakeholder Communication & Documentation

  • Develop presentation materials to communicate insights and recommendations to business stakeholders
  • Document reporting logic, data sources, and methodologies to ensure transparency and repeatability
  • Create and maintain a comprehensive data dictionary to standardize definitions and usage across teams

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