Oluwabori A
Data and Business Intelligence Analyst
Skills
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Werkervaring
Data & Business Intelligence Analyst
pharmacie • Fulltime
Apr 2026 - Aug 2026 • 4 mos
· End-to-end deep remodeling of existing company data design, relationships, and pipelines, utilizing notably Power Query, Power Pivot, DAX, and macros. · Optimized statistical efficiency and quality by developing and implementing databases, data consolidation and analytics. · Built Power BI dashboards to clearly and intuitively visualize business KPIs (e.g., Monthly Recurring Revenue) to technical and non-technical stakeholders, saving 10+ hours per week of manual reporting and analysis · Evaluated complex business and financial datasets using statistical models in order to identify, assess and interpret trends and patterns. · Saved company resources data collection and consolidation by 40% by creating and automating systems for evaluating current business models, agents and products. · Performed diagnostic analysis on products generating negative revenue in certain locations, thereby improving overall business revenue returns. · Efficiently conducted statistical analysis on company product performance for identifying top-performing and underperforming products. · Consistently developed and presented comprehensive reports & dashboards providing historical and real-time insights to critical business performance operations. · Provided business recommendations by continuously monitoring data trends and patterns for data accuracy and completeness while simultaneously ensuring data privacy. · Architected and maintained database systems and tools for stakeholders. · Detected data discrepancies, investigated, resolved them, and reported to stakeholders. · Consistently performed key statistical analysis using various statistical techniques, thereby identifying trends and interpreting patterns in company operations.
Freelance Data Analyst
Freelance • Freelance
Mar 2022 - Dec 2023 • 1 yr 9 mos
Built Tableau and Power BI dashboards to visualize core business KPIs, saving 10+ hours per week of manual reporting. Architected clear and intuitive reports providing historical and real-time insights. Performed data consolidation, cleaning, and transformation on large enterprise databases. Implemented predictive analyses on historical data to predict future product revenue using machine learning algorithms.