Data Analytics Engineer
Kayode
| Hourly: | $30 | Daily: | $120 |
| Monthly: | $2,500 | Contract: | Available |
Data Analytics Engineer
Kayode specializes in crafting efficient BI solutions for businesses, streamlining operations, and empowering informed decision-making by harnessing vast data volumes. He bridges the gap between data analysis and actionable insights, wielding a versatile toolkit including Microsoft Power BI, Tableau, R, SQL, Python, Big Query, Excel, and SQL Server, among others. Kayode remains adaptable, readily embracing any tool necessary to accomplish the task. As a highly motivated, detail-oriented data analyst, he adeptly handles diverse data sources, conducts data cleansing and transformation, performs analysis and modeling, and addresses biases to propel successful business solutions. His exceptional grasp of analytical frameworks enables the delivery of vital insights, analytics, and business intelligence essential for steering business outcomes. Kayode's zeal lies in harnessing data to steer business and product decisions.
Education / Certificates
Bsc. Economics | University Of Ilorin
2010 | 2015
Employment History
Analyst, Scm | Mtn Nigeria
December, 2019 - July, 2021
1. Provided Spend Analysis to capture the business spend behavior. 2. Provided Supplier Tail Analysis to keep and maintain strategic relationships with high value suppliers and work towards reducing the low value suppliers. 3. Provided Procurement data categorization and cleansing to effectively analysis and give visibility to the procurement behavior. 4. Provided Savings report and every other report in line with KPI Performance.
Data Analyst, Network Intelligence | Mainone (An Equinix Company)
August, 2021 - Till Date
1. Designed, Built and Developed Data collection Framework according to the Business Rules and Logic to capture relevant data. 2. Conceptualized and Strategized on the Dashboarding Designs and Standards in line with best practices. 3. Designed, Built and Developed company-wide Dashboards to track, measure and forecast various Business Metrics, KPIs, OLAs and SLAs. 4. Maintained and Monitored Various Model and Dashboards Performance to increase User Experience and Adoption across the business. 5. Insight generation and call-to-action by the Stakeholders based on the trends and patterns discovered in data to make on-the-spot decisions.
