Grace Abiona

Results-driven Power BI Developer and Data Analyst with experience transforming complex business data into clear, interactive dashboards, reports, and actionable insights. Skilled in Power BI, DAX, Power Query, SQL, Excel, data modelling, data visualization, and requirements gathering. Experienced in working with business stakeholders to define KPIs, analyse reporting requirements, automate manual reporting processes, and develop self-service BI solutions that support data-driven decision-making.

Strong understanding of the end-to-end reporting lifecycle, including data extraction, transformation, modelling, dashboard development, validation, deployment, security, documentation, and ongoing report optimisation. Comfortable translating business requirements into scalable technical solutions and communicating analytical findings to both technical and non-technical stakeholders.

Data Analyst at R4G Tech (2024-11)

• Design, develop, and maintain interactive Power BI dashboards and management reports to support operational and strategic decision-making.
• Work with stakeholders to gather reporting requirements, understand business processes, define KPIs, and translate requirements into effective BI solutions.
• Connect Power BI to multiple data sources, including SQL databases, Excel, CSV files, SharePoint, APIs, and cloud-based platforms.
• Use Power Query to clean, transform, combine, and prepare raw datasets for reporting and analysis.
• Develop robust data models using appropriate relationships, fact and dimension tables, and star-schema modelling principles.
• Create DAX measures and calculated columns for KPIs, time intelligence, variance analysis, percentages, rankings, and other business calculations.
• Build visually effective dashboards incorporating charts, cards, matrices, slicers, drill-through pages, bookmarks, conditional formatting, and interactive filtering.
• Write and optimise SQL queries to extract, join, aggregate, and validate data from relational databases.
• Conduct detailed data validation and reconciliation to ensure dashboards provide accurate and consistent information.
• Identify trends, anomalies, risks, and performance issues within business data and communicate findings to relevant stakeholders.
• Publish reports to Power BI Service, configure workspaces, manage access, schedule dataset refreshes, and maintain deployed reporting solutions.
• Implement Row-Level Security (RLS) where required to provide appropriate data access to different user groups.
• Optimise Power BI reports, DAX calculations, and data models to improve report performance and user experience.
• Replace repetitive spreadsheet-based reporting processes with automated Power BI solutions, reducing manual reporting effort.
• Produce technical and user documentation covering report logic, KPIs, data sources, business rules, and refreshing processes.
• Provide guidance and training to business users on dashboards and self-service reporting capabilities.

Data Analyst at FiberNet Technologies (2021-04 – 2024-06)

• Produced recurring and ad-hoc reports for management and operational teams using Power BI, SQL, and Excel.
• Analysed large datasets to identify business trends, performance gaps, exceptions, and opportunities for improvement.
• Developed dashboards to track KPIs across areas such as sales, finance, operations, customer service, workforce, and business performance.
• Gathered requirements from business users and converted reporting needs into dashboards, analytical outputs, and data specifications.
• Used SQL to retrieve and manipulate data from multiple tables and databases.
• Performed data cleansing, transformation, reconciliation, and quality checks before presenting results.
• Created Excel reporting solutions using PivotTables, lookup functions, formulas, charts.
• Worked with business teams to define reporting standards and ensure consistent interpretation of KPIs.
• Automated recurring reporting activities, improving efficiency and reducing the risk of manual errors.
• Presented analytical findings in a clear and concise format suitable for both technical and non-technical audiences.
• Supported continuous improvement by identifying opportunities to streamline existing reporting and data processes.

Data Analyst / Junior Data Analyst at Daxvorite Ltd (2019-12 – 2021-03)

• Collected, cleaned, analysed, and interpreted business data from multiple sources.
• Created dashboards and reports to monitor operational performance and support management decisions.
• Used Excel, SQL, and Power BI to analyse datasets and produce meaningful business insights.
• Investigated data inconsistencies and worked with relevant teams to resolve data-quality issues.
• Conducted trend, variance, and comparative analysis to identify changes in business performance.
• Responded to ad-hoc data requests from stakeholders and delivered accurate analysis within agreed deadlines.
• Maintained reporting documentation and supported improvements to reporting processes.
• Assisted with dashboard testing, data validation, UAT, and deployment activities.

Diploma in Web & Analytics – WetinDey Academy (2019 – 2019)

B.Sc. – Federal University of Agriculture (2011 – 2011)

GCSCE – Kings & Queens College (2004 – 2004)