Athena Institute of Business and Technology (AIBT) is building Africa’s next generation of business, policy, and tech leaders, through flexible, practical, and impact-driven learning.
We are recruiting to fill the position below: Job Title: Business Intelligence Data and Reporting Specialist
Location: Remote Employment Type: Full-time
Job Description
We are seeking a highly analytical and detail-oriented Business Intelligence, Data and Reporting Specialist to transform raw data into meaningful insights that support strategic planning, operational efficiency, and informed business decision-making.
The successful candidate will be responsible for collecting, analyzing, interpreting, and visualizing data from multiple sources, developing interactive dashboards and reports, and ensuring data accuracy, consistency, and integrity.
The ideal candidate should possess strong technical expertise in business intelligence tools, data analysis, reporting automation, and data visualization, with the ability to communicate complex findings in a clear and actionable manner.
Key Responsibilities
Collect, extract, clean, validate, and analyze data from multiple business systems and databases.
Design, develop, and maintain interactive dashboards, management reports, and performance scorecards.
Use business intelligence tools such as Microsoft Power BI, Tableau, or equivalent platforms to present actionable insights.
Develop and maintain SQL queries, data models, and reporting datasets to support business analysis.
Monitor key performance indicators (KPIs), identify trends, and highlight performance gaps, risks, and opportunities.
Automate recurring reports and data processing activities to improve efficiency and reduce manual effort.
Collaborate with management and relevant departments to gather reporting requirements and translate them into appropriate analytical solutions.
Integrate data from different sources and ensure consistency across reports and dashboards.
Perform data quality checks, investigate discrepancies, and implement measures to improve data accuracy and reliability.
Prepare periodic operational, financial, and management reports to support business planning and performance monitoring.
Conduct trend analysis, variance analysis, and root-cause analysis to support evidence-based decision-making.
Maintain documentation for data sources, reporting logic, business rules, and dashboard definitions.
Ensure compliance with data governance policies, confidentiality requirements, and applicable data protection standards.
Provide user support and guidance on dashboards, reports, and business intelligence tools.
Continuously identify opportunities to improve reporting processes, analytical capabilities, and data-driven business practices.
Requirements Education:
Bachelor's Degree in Data Science, Computer Science, Statistics, Mathematics, Information Technology, Business Analytics, Economics, or a related discipline.
Professional training or certifications in Business Intelligence, Data Analytics, SQL, Power BI, Tableau, or related technologies will be an added advantage.
Equivalent practical experience and demonstrated technical competence may be considered.
Experience:
3–5 years of relevant experience in business intelligence, data analytics, reporting, or a related role.
Demonstrable experience developing and maintaining dashboards, management reports, and performance monitoring tools.
Practical experience using SQL, Excel, and at least one major business intelligence or data visualization platform.
Experience working with multiple data sources, data transformation processes, and reporting automation.
A track record of translating business requirements into reliable reports and actionable insights.
Experience collaborating with management and cross-functional teams to support operational and strategic decisions.
Required Skills:
Strong proficiency in data analysis, business intelligence, and management reporting.
Practical experience with Microsoft Power BI, Tableau, or other comparable data visualization tools.
Strong SQL skills for data extraction, manipulation, querying, and analysis.
Good knowledge of Microsoft Excel, including PivotTables, advanced formulas, Power Query, and data modeling.
Experience designing dashboards, KPI scorecards, and interactive reports.
Understanding of data warehousing, ETL processes, data transformation, and data integration.
Ability to clean, validate, reconcile, and interpret large datasets from multiple sources.
Knowledge of statistical analysis, trend analysis, and performance measurement techniques.
Understanding of data governance, data quality management, and reporting standards.
Strong analytical thinking, attention to detail, and problem-solving abilities.
Excellent written and verbal communication skills, with the ability to present insights to technical and non-technical stakeholders.
Ability to manage multiple reporting requests, prioritize tasks, and meet deadlines.
Additional Advantage:
Experience with Python or R for advanced analytics and data processing.
Familiarity with cloud data platforms, data lakes, and modern data warehouse solutions.
Experience with Microsoft Fabric, Azure Data Services, or equivalent cloud analytics platforms.
Knowledge of financial, operational, HR, sales, or other enterprise performance reporting.
Experience with report scheduling, workflow automation, and self-service BI solutions.
Relevant certifications in Microsoft Power BI, Tableau, data analytics, or business intelligence.