Kayode Alatise
Toronto,ON
Summary
Marketing Data Analyst with over 7 years of experience delivering data-driven insights across financial services and consumer organizations. Strong background in marketing analytics, customer segmentation, campaign performance analysis, and dashboard development using SQL, Power BI, and Salesforce Marketing Cloud. Proven ability to translate business and marketing requirements into actionable insights that improve targeting, optimize spend, and support decision-making across Canada and the U.S.
Overview
21
21
years of professional experience
Work History
Data Quality & Reporting Specialist
Carlsberg Canada
09.2004 - 10.2025
- Built and maintained Power BI dashboards supporting marketing, operations, and leadership reporting, improving data accuracy by 30 percent
- Validated and reconciled campaign, customer, and performance datasets used for reporting and analytics initiatives
- Supported analytics teams by preparing clean, analysis-ready datasets for reporting and forecasting use cases
- Automated recurring reports, reducing manual reporting effort
Senior Data Scientist
Access Bank Plc
01.2016 - 01.2022
- Analyzed end-to-end marketing and sales campaign performance across digital, email, and branch channels
- Performed customer segmentation and behavioral analysis, improving campaign response rates by approximately 18 percent
- Developed Power BI and Excel dashboards used by marketing and sales leaders to track performance, spend, and ROI
- Wrote optimized SQL queries to extract, transform, and validate customer and campaign data from multiple systems
- Supported forecasting and campaign effectiveness measurement using statistical techniques
- Developed advanced machine learning models to enhance predictive analytics capabilities.
- Led cross-functional teams in data-driven decision-making processes for strategic initiatives.
- Mentored junior data scientists, fostering skill development and knowledge sharing.
- Implemented automated data processing systems, improving efficiency and accuracy of analyses.
- Conducted in-depth statistical analysis to derive actionable insights from complex datasets.
- Collaborated with stakeholders to define key performance indicators and reporting metrics.
- Drove data governance initiatives ensuring compliance with industry standards and best practices.
- Spearheaded research projects that identified new opportunities for business growth through data analysis.
- Collaborated with cross-functional teams to identify relevant data sources and improve overall data quality.
- Reduced time spent on manual tasks by developing automated processes using Python scripts and SQL queries.
- Implemented predictive analytics solutions that drove informed decision-making across the organization.
- Increased revenue generation through targeted marketing campaigns based on customer segmentation analysis results.
- Streamlined the data ingestion process, enhancing the efficiency of analytical workflows.
- Managed a team of junior data scientists, fostering talent development and consistent project success.
- Translated business requirements into technical specifications, ensuring alignment between project objectives and deliverables.
- Delivered actionable recommendations by conducting comprehensive exploratory data analysis on large datasets.
- Evaluated emerging technologies and tools in the field of data science, recommending strategic investments for the organization.
- Established standardized methodologies for reproducible research within the data science team.
- Boosted internal communication efficiency by creating interactive dashboards for easy access to key performance indicators.
- Improved forecasting accuracy by employing time series analysis techniques on historical sales data.
- Leveraged big-data technologies for scalable analysis, resulting in more accurate insights and predictions.
- Presented complex findings to non-technical stakeholders through clear visualizations and concise reports.
- Leveraged mathematical techniques to develop engineering and scientific solutions.
Marketing Data Analyst
Diamond Bank Plc
01.2010 - 01.2012
- Supported marketing teams with campaign reporting, customer analysis, and audience segmentation initiatives
- Analyzed campaign performance data to identify trends, optimization opportunities, and budget efficiency
- Prepared clean datasets for reporting and analytics by performing validation, cleansing, and reconciliation checks
- Produced recurring ad hoc marketing reports used for decision-making and planning
- Assisted in documenting reporting requirements and technical specifications for campaign tracking
- Conducted post event analysis and follow up, including vendor invoice processing and expense reconciliation
- Maintained and updated national sales calendars to ensure alignment across regions
- Supported targeted regional sales communications and campaign updates
Education
Data Science
University of East Anglia
Norwich, U.K.B.Sc - Economics
University of Ado-Ekiti
NigeriaSkills
Sales operations support
Sales and performance reporting
Marketing Analytics
Campaign Performance Analysis
Customer Segmentation
SQL Data Extraction and Analysis
Power BI Dashboards and Reporting
Python, R, Cloud Computing
Salesforce Marketing Cloud
Journey and Campaign Reporting
Data Validation and Reconciliation
Excel Advanced Analysis
Technical Requirements Documentation
Stakeholder Collaboration
Financial Services Data
Timeline
Senior Data Scientist
Access Bank Plc
01.2016 - 01.2022
Marketing Data Analyst
Diamond Bank Plc
01.2010 - 01.2012
Data Quality & Reporting Specialist
Carlsberg Canada
09.2004 - 10.2025
Data Science
University of East Anglia
B.Sc - Economics
University of Ado-Ekiti