Izinegbe Ebosele

Results-driven Data analyst with over 5 years of experience specializing in financial data interpretation, risk assessment, and transactional investigations. Proven expertise in analyzing complex datasets from banking and gaming sectors to identify trends, mitigate risks, and uncover client vulnerabilities. Adept at leveraging SQL, Excel, and data visualization tools to transform raw data into actionable insights, leading to a 45% improvement in dispute resolution success.

Seeking a remote role to apply advanced analytical skills to solve complex business challenges.

Professional Experience Summary

A proactive and analytical professional with a proven track record in extracting actionable insights from complex datasets within financial, gaming, and operational contexts. Core expertise lies in financial data analysis, risk assessment, and investigating transactional patterns to drive dispute resolution and process improvements. Proficient in leveraging SQL, Excel, and data visualization tools to automate reporting, enhance clarity, and support data-driven decision-making. Experienced in remote collaboration and end-to-end project management.

Key Expertise & Achievements:

Financial & Transactional Analysis:

Analyzed bank statements and gambling transaction data to assess net loss, profit, and financial trends, identifying client vulnerabilities and fraudulent patterns.

Conducted in-depth financial audits and budgetary analysis, identifying control gaps and improving financial reporting accuracy by 15%.

Data-Driven Investigation & Resolution:

Led data-driven investigations into gaming-related financial disputes, leveraging financial analysis to draft and submit successful claims.

Identified fraudulent gaming transactions through pattern analysis, leading to a 20% improvement in dispute resolution and success rates.

Process Optimization & Automation:

Automated financial reporting processes using Excel and Google Office suites, reducing manual reporting time by 30%.

Utilized data analysis to optimize content strategies and operational processes, increasing audience reach by 20%.

Technical & Analytical Toolkit:

Tools: SQL, Microsoft Excel (Pivot Tables, VLOOKUP), Google Office Suites, Power BI, Tableau (in training)

Methodologies: Data Cleaning, Visualization, Risk Assessment, Compliance Reporting, Project Management

MSc, International Business with Data Analytics (In view)

Ulster University, Birmingham

MSc & BSc, Mathematics

University of Benin & University of Ado Ekiti, Nigeria

Core Analytical Relevance: A progressive academic path building from a rigorous foundation in mathematical theory and quantitative problem-solving to applied data analytics in a business context.