Ozoude Assumpta

Data analyst with 2+ years of hands-on SQL experience and strong numerical and analytical skills, turning complex, high-volume datasets into clear insight for commercial and product decisions. I have improved query retrieval efficiency by 40% across large relational databases and built forecasting models reaching 85% predictive accuracy, work I present through Power BI, Tableau, Excel and PowerPoint to influence decisions and build consensus with non-technical stakeholders. My background spans consumer-facing product analytics, from sales and profitability dashboards to public health datasets covering 190+ countries, and I bring hands-on use of AI tools including Copilot to speed up analysis and reporting.

I am now looking to bring this rigour to a data-led credit cards product team, with a genuine interest in developing deeper expertise in experimentation and statistical inference.

Data Analyst Consultant - Amdari UK

(2025-03 - 2026-06)

Part-time, alongside clinical role

• Designed and optimised complex SQL queries across large-scale relational databases, improving data retrieval efficiency by 40% and enabling deeper analysis of operational performance and business trends.
• Regularly translated SQL and Power BI analysis of operational datasets into clear PowerPoint presentations, enabling non-technical stakeholders to act on evidence-based recommendations.
• Applied statistical forecasting and predictive modelling techniques to operational data, achieving 85% accuracy in forecasting demand and no-shows, directly supporting scheduling and resource allocation decisions.
• Led a project team of 15 analysts and consultants, coordinating SQL and Power BI workstreams cross-functionally and ensuring consistent, high-quality delivery across client engagements through efficient collaboration.
• Cleaned, standardised, and validated over 50,000+ records using Excel and Microsoft Fabric, reducing data inconsistencies and improving reporting accuracy for decision-making.
• Used Power Query and Microsoft Excel to consolidate and transform data from multiple sources into unified models, applying core ETL principles to improve scalability and accuracy.
• Analysed population-level datasets to generate evidence-based insights, translating technical findings into clear recommendations and influencing stakeholder decisions and consensus.

Registered Nurse - Wrightington, Wigan and Leigh NHS Trust

(2025-02)

• Collected and monitored operational data to support safety initiatives and performance reporting, improving handover protocols and contributing to a 19% reduction in patient wait times.
• Maintained rigorous documentation standards, mentoring junior staff on data integrity practices.

Clinical Support Worker (Part-Time) - NHS Professionals

(2023-08 - 2025-01)

• Used data-backed insights to improve patient flow and bed turnover efficiency by 5% across 400-bed units during peak periods.

Master of Arts - Nursing - University of Salford (2023-01 - 2025-01)

Bachelor of Science - Agriculture - University of Nigeria, Nsukka (2012-09 - 2017-12)