Oluwatosin Oyinlade
About Me
I am passionate about finding creative and effective solutions to complex problems and delivering impactful insights to stakeholders and decision-makers. I have strong skills in SQL, Power BI, Tableau, SPSS, R, and MS Excel, and I am a Microsoft Certified Data Analyst Associate. I am also a Data Science Fellow at Utiva, where I am enhancing my knowledge and skills in data science and machine learning. My goal is to leverage my expertise and credentials to provide high-quality data and business intelligence solutions that support the growth and success of an organization.
Education
University of Lagos, Akoka, Nigeria
Ladoke Akintola University of Technology, Ogbomoso
Utiva
Advanced Microsoft Excel & Spreadsheets, Microsoft Power BI, SQL, Python, Soft Skills, and several Projects
Quantum Analytics NG
Advanced Microsoft Excel & Spreadsheets, Microsoft Power BI, SQL, Tableau, Soft Skills, and several Projects
EverythingonData
Microsoft Excel, Power BI, Power Point, Projects
Work & Experience
Senior Data Analyst
Donna Spectre Limited
Identifies business intelligence reporting, and data analysis needs of the organization. Collects, processes, and analyzes internal and external data relating to various organizational functions and programs. Creates comprehensible and usable information and uses techniques and tools such as diagrams, graphs and reports to convey information to internal and external stakeholders. Database software and web-based reporting tools; working knowledge of statistical methodologies, data analysis techniques, data management, dashboards, modeling, querying, and workflows. Works with the organization’s program data staff, consultant and software vendors to thoroughly understand the intricacies of the organization’s electronic records management software systems, how they operate and ways to improve, data collection and the related processes. Implements solutions that support data governance, data fidelity and quality initiatives, dashboards, and data transformation through modeling, querying, and workflows. Performing other responsibilities as assigned by the management.
Business Intelligence & Data Analyst
Transport Services Metroline Limited
• Write SQL Script & queries to extract data from primary and secondary sources to prepare management Reports • Develop and manage positive relations with project stakeholders to have accurate and on-time delivery of projects • Implement Business strategy using workflows, processes, data dictionaries, and applications as relevant and followed by functional areas. • Support Operational Managers and Heads of Departments with analytical and concise reporting and summaries • Work cross-functionally with a variety of teams to solve, identify relevant source data sources, and extra data, and create integrated information delivery solutions. • Develop and maintain databases and systems, reorganizing data in a readable format, increasing data quality by 40% • Perform detailed analysis to assess the quality, integrity and meaning of data. • Perform Root cause analysis on reports and key performance indicators (KPIs) to identify, and resolve problems. • Identify, analyse, visualise and interpret patterns and trends in datasets using SPSS, R Tableau, and Power BI & Excel. • Analyse and interpret data from business operations to provide insights on Business Impacts and performance • Prepare insightful reports for the management stating trends, patterns, and predictions using relevant data. • Prepare management reports for the stakeholders to understand the data-analysis steps, enabling them to make vital decisions based on various facts and trends. • Conduct variance analysis between budget and actual revenue generation on all income and Cost lines.
Fleet & Data Analyst
KK Leasing Limited
• Supported the tracking of key performance indicators to report to business stakeholders in strategic decision making • Successfully contributed to and delivered several business transitions, transformations, and change management • Drive penetration & adoption of data management initiatives across the organization, increasing operational productivity by 30% • Prepared various KPI Metrics reports, such as quarterly sales statistics, annual predictions, and account status reports. • Executed several concurrent complex initiatives and projects, delivering to cost and within the agreed timeframe. • Analyzed maintenance costs incurred by vehicles servicing key accounts and developed a business model that helped reduce quarterly costs on routine maintenance service by at least 17% of previous value spent. • Developed marketing and growth strategies and initiatives increasing profitability by 30% • Periodic analysis of fuel expenditure by spotting vehicles with low fuel efficiency values, and drove down fuel costs by reducing pilferage and improving fuel consumption rates. • Implemented the use of Google Sheets as a subsidiary cloud-based system of a database, for easy entry of maintenance data costs by other supervisors on the field. • Developed interactive Excel dashboards to keep track of weekly, monthly, and quarterly expenditures, for monitoring trends and generating insight for the senior management team.
Operations Planning & Data Analyst (Fleet Operations Dept.)
Primero Transport Services
• Supported the Operations Heads/Leads with solution support, analysis, data remediation, and ad hoc data queries • Analyzed current processes and defined new target processes with data architects and developers. • Created reporting mechanisms and tools for the Key Performance Indicators (KPIs), for periodic reporting • Developed data-driven strategies geared toward building optimal service plans for all the service touch points • Monitored the Backend for transaction discrepancies, and data capturing errors for ease of reconciliation purposes. • Stimulated continuous process improvement in all business processes and increased operational efficiency by 40% • Analyzed, prepared, and submitted monthly & quarterly reports on the overall operations ensuring 100% accuracy • Monitored and analyzed biometric records of staff in conjunction with the Finance department for payment of the salaries and bonuses and reconciliation.
