Data Analyst - Credit, Business Intelligence Engineering

Job Overview

We seek a Data Analyst to partner with stakeholders in uncovering their challenges and refining internal procedures via automation to elevate efficiency. This role demands in-depth expertise in retail finance data, merging multiple datasets from operations, marketing, and databases to form unified perspectives that assist decision-making.

Key Duties

• Collaborate closely with various stakeholders to identify and analyze business problems and opportunities to drive automation and improve productivity.
• Serve as a domain expert in retail finance data, integrating diverse data sources to provide comprehensive insights.
• Work alongside data engineering teams to upgrade and streamline data warehouse systems.
• Create versatile tools aimed at enhancing operational effectiveness for stakeholders.
• Design and deploy interactive data visualizations, dashboards, and reports for management and business users.
• Define and assess business performance metrics, delivering analyses that produce actionable insights to foster ongoing enhancement in retail finance operations.

Candidate Requirements

• Bachelor’s degree or higher in Computer Science, Engineering, Statistics, Business Analytics, IT, Finance, Banking, or related disciplines.
• Proficiency in SQL and Python is essential.
• Strong critical thinking and methodical problem-solving abilities.
• Capability to collaborate effectively across multidisciplinary teams in a dynamic setting.
• Fundamental understanding of accounting or finance principles is advantageous.
• Previous experience in finance or banking sectors is favorable.
• Background in business intelligence and analytics within e-commerce adds value.