Business Intelligence & Insights Associate at Credit Direct Limited

We are seeking a detail-oriented and analytically strong Business Intelligence & Insights Associate to support the Digital Transformation team at Credit Direct. This role is critical to delivering accurate, automated, and insight-driven reporting that enables data-informed decision-making across the organization. The successful candidate will work closely with the Lead, Business Analytics to develop BI dashboards, perform SQL-based analysis, and ensure data quality across enterprise and regulatory reporting. The role supports the organization’s broader digital transformation agenda by strengthening business intelligence, automation, and data governance capabilities.

Job Details

Business Intelligence and Reporting

• Design, develop, and maintain interactive dashboards and reports using Power BI to support operational, management, and executive decision-making.
• Build efficient and scalable data models, applying best practices such as star schema design and performance optimization.
• Develop and maintain DAX measures for KPIs, trends, time intelligence, and performance monitoring.
• Ensure dashboards are intuitive, user-friendly, and aligned with business requirements and objectives.

Data Extraction, Transformation and Analysis

• Write, optimize, and maintain SQL queries to extract, transform, and analyze data from multiple source systems.
• Conduct quantitative analysis, including trend analysis, variance analysis, and time-series analysis.
• Support ad-hoc analysis and deep dives to address business questions and management requests.

Data Quality, Governance and Compliance

• Ensure the accuracy, consistency, and integrity of reported data across all dashboards and reports.
• Validate data to ensure it is auditable and third-party verifiable
• Align reporting outputs with internal standards and external reporting or regulatory frameworks.
• Maintain clear documentation for datasets, KPIs, and reporting logic.

Automation and Continuous Improvement

• Support automated and scheduled reporting workflows to improve efficiency and accessibility of insights.
• Identify opportunities to optimize BI processes, dashboards, and SQL queries for performance and scalability.
• Contribute to the continuous improvement of analytics standards, tools, and best practices.

Collaboration and Stakeholder Engagement

• Work closely with the Lead, Business Analytics to support enterprise BI initiatives and analytics automation.
• Collaborate with cross-functional teams (I.T., Operations, Finance, Product, Audit, and Risk) to translate business requirements into analytics solutions.
• Communicate insights clearly and effectively to both technical and non-technical stakeholders.

Requirements

• Bachelor’s degree in business Analytics, Data Science, Computer Science, Engineering, Economics, Statistics, Mathematics, or a related field.
• Certifications in Power BI or other BI tools are an added advantage.
• 2–3 years of experience in Business Intelligence, Data Analytics, or a related role.
• Experience working in banking, fintech, lending, or regulated data environments is an advantage.
• Strong hands-on experience with Power BI, including:
  • DAX (measures, calculated columns, time intelligence)
  • Data modeling and performance optimization
  • Dashboard design and data storytelling
• Strong SQL skills for querying, transforming, and analyzing data.
• Experience working with large, multi-source datasets.

Soft Skills:

• Strong analytical and problem-solving skills.
• Excellent communication skills with the ability to explain insights clearly.
• Strong attention to detail and organisational skills
• Ability to manage multiple tasks and priorities effectively.
• Collaborative team player with a proactive and professional attitude.

Person Specification

• Strong understanding of data analysis and interpretation.
• Ability to work in a fast-paced, evolving environment.
• High level of accuracy, accountability, and ownership.
• Ability to think analytically and contribute to results-oriented solutions.
• Experience or exposure to the financial services or fintech industry is an advantage