Credit Direct Limited
Financial Services
Description
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.
Responsibilities
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.
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