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Kayode Williams

@kayodewilliams

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Senior Data Analyst and Analytics Engineer who turns complex data into decisions.

Ireland

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What I'm looking for

I’m looking for a role where I can build automated, stakeholder-friendly analytics—turning data into dashboards and pipelines that improve business outcomes. I want to own reporting quality, governance, and transformation workflows from data to decision.

I’m a Senior Data Analyst/Analytics Engineer with 6 years of experience turning complex data into clear, decision-ready reporting for non-technical stakeholders. I build SQL-driven dashboards and automated pipelines that reduce manual work and surface bottlenecks fast, including a 35% reduction in payment delays and 28% faster C-suite reporting using Python and BigQuery.

At Wowzi Technologies, I managed end-to-end data integration into a centralized lake (Airbyte, BigQuery, dbt), engineered transformation models for BI across product/finance/commercial, and strengthened data governance through validation and reconciliation (15% fewer dataset mismatches). I also lead analytics impact—driving an 18% retention increase and a 13% revenue lift—while standardizing workflows by migrating orchestration from Prefect to GitHub Actions; earlier, at Kobo360 and MTN Nigeria, I delivered major improvements in collections, churn, MIS reporting, and team delivery of reporting frameworks.

Experience

Work history, roles, and key accomplishments

Business Intelligence Analyst

Wowzi Technologies

Aug 2023 - Sep 2025 (2 years 1 month)

Built an SQL-driven finance payment tracker that reduced influencer payment delays by 35% and improved cash-flow predictability across multi-currency payouts. Automated C-level reporting pipelines in Python and BigQuery, cutting processing time by 28% and reducing recurring manual errors.

SQL Python Google BigQuery DBT Airbyte Looker Studio Data Governance KPI Design Cohort Analysis

Business Intelligence Analyst

Kobo360

Mar 2021 - Aug 2023 (2 years 5 months)

Created SQL and Power BI invoicing dashboards, increasing trip invoicing efficiency by 58% to improve finance speed and accuracy. Streamlined financial reporting workflows, driving a 42% increase in collections over two quarters and reducing churn via SQL/Python cohort analytics.

SQL Python Power BI Data Modeling Cohort Analysis A B Testing

Data Analyst

Mtn Nigeria

Apr 2018 - Feb 2021 (2 years 10 months)

Developed Tableau reports that grew the Platinum customer base by 19% by surfacing account-level performance trends. Improved debt collection by 15% and reduced bad debt by 2.8% through ad hoc reporting frameworks, and contributed to a 9% NPS improvement via Voice of Customer analysis.

Tableau SQL Excel Spend Band Analysis Customer Segmentation Voice Of Customer