Posted: 2026-08-14 19:06:00  Deadline: August 15, 2026   Full-time   Salary: Confidential

HFCB Group PLC is inviting applications from qualified candidates for the position of Data Analyst. The successful candidate will transform complex enterprise datasets into actionable business insights, interactive dashboards, and executive reporting solutions using Power BI, SQL, and data visualization best practices.

Position Details

Position: Data Analyst.
Department: Innovation and Digital Transformation.
Employer: HFCB Group PLC.
Reports To: Head of Software Engineering and Data Tribe.
Application Deadline: August 15, 2026.

About the Role

The Data Analyst will partner with tribe members and business stakeholders to interpret trends, monitor operational performance, and support data-driven decision-making across the Group. The role holder will also work closely with Big Data Engineers and Product Owners to turn processed data assets into business intelligence dashboards across digital platforms and business units.

Key Accountabilities

Power BI and Business Intelligence Development
Design, build, and maintain interactive, high-performing Power BI dashboards, reports, and executive scorecards tailored to business requirements.
Develop advanced DAX formulas, measures, and calculated columns for complex business calculations and time-intelligence analysis.
Perform robust data modeling in Power BI using Star and Snowflake schema patterns, managing relationships, security roles, and performance optimization.
Manage and administer Power BI Workspaces, app publishing, scheduled data refreshes, and gateway configurations.

Data Exploration, Querying and Analysis
Extract, query, and analyze large datasets from relational databases, data warehouses, and data lakes using advanced SQL scripts.
Perform ad-hoc data analysis to uncover underlying trends, patterns, anomalies, and operational insights to support strategic business decisions.
Cleanse, blend, and reshape data from multiple disparate sources using Power Query and SQL before model consumption.

Scalability, Performance and Monitoring
Optimize data processing workflows for enterprise scalability, performance, and fault tolerance.
Implement parallel processing, distributed computing, and caching mechanisms to handle massive data workloads.
Develop monitoring, logging, and alerting solutions to track the health, latency, performance, and availability of big data systems.
Implement automated scaling, load balancing, and resource allocation mechanisms to optimize cluster utilization.

Data Quality and Reporting Governance
Validate data accuracy, consistency, and integrity across BI reports by conducting thorough reconciliation against source systems.
Implement reporting standards, consistent UI and UX design layouts, and brand-aligned dashboard templates across the organization.
Ensure reporting practices strictly adhere to data governance policies, access controls, and customer privacy standards.

Stakeholder Engagement and Technical Governance
Collaborate with Product Owners, Business Analysts, and Squad Leads to gather, translate, and refine business reporting requirements into functional technical specifications.
Translate complex data analytics into clear, compelling narratives and visual presentations for non-technical leadership and operational teams.
Document data definitions, KPI calculations, reporting models, and user guides for self-service analytics adoption.

Principal Outputs

Enterprise-grade interactive Power BI dashboards and self-service reporting tools deployed across business teams.
Optimized Power BI data models built with proper DAX logic, star schemas, and efficient query folding.
Automated daily, weekly, and monthly dataset refreshes configured via enterprise gateways.
Complex SQL scripts and views created for ad-hoc analysis, reporting tables, and data validation.
Row-Level Security frameworks established to ensure safe, role-based data access.
Clear data lineage, KPI documentation, and BI user guides delivered.
Identified operational bottlenecks, business growth drivers, and trend insights presented to stakeholders.

Qualifications

Bachelor's degree in Computer Science, Data Analytics, Statistics, Information Technology, Business Intelligence, or a related quantitative field.
PL-300 certification, Microsoft Certified: Power BI Data Analyst Associate, is highly desirable and considered an added advantage.
3 to 6 years' experience as a Data Analyst or BI Developer, preferably within banking, fintech, telecom, or digital financial services.
Proven track record of designing end-to-end, high-adoption Power BI solutions for enterprise business units.

Competencies

Power BI Mastery: Expert-level skills in Power BI Desktop, Power BI Service, Power Query, DAX, custom visuals, and performance tuning.
Data Modeling and SQL: Strong proficiency in SQL for data extraction, joining, aggregation, and performance tuning, along with solid knowledge of dimensional modeling principles.
Data Visualization and UX: Deep understanding of report design best practices, visual hierarchy, user interface principles, and storytelling with data.
Analytical and Problem-Solving: High numerical aptitude with the ability to turn unstructured business questions into structured analytical workflows.
Communication and Collaboration: Excellent written and verbal communication skills to present insights clearly to cross-functional teams and executive leadership.
Business Acumen: Understanding of key business and financial metrics such as active users, conversion rates, customer lifetime value, and transaction velocity.

Application Process

Interested and qualified candidates should apply through the application link below before August 15, 2026.

Apply Here: Data Analyst at HFCB Group PLC (Application Portal)