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Malt Strategy
Elizabeth SowunmiES

Elizabeth Sowunmi

Data Analyst

€289/day
London, GB
0-2 years
Python
SQL
Tableau software
Microsoft Excel
Canva

Average response time: 1 hour

About Elizabeth

As a Data Analyst at an investment bank, I help businesses turn complex datasets into clear, actionable insights. With a Data Science MSc, Computer Science BSc, and 4 years of Python & SQL experience, I build dashboards, automate reporting, and streamline data workflows for finance and business teams. Typical projects include KPI dashboards, automated reports, and data-cleaning pipelines; all designed to save time and support faster, smarter decision-making.
Banking and Financial Services
Leisure, Recreation, and Entertainment

  • English

    Native or bilingual

Remote only
Primarily works remotely

Experience

  • Citibank
    Data Analyst
    September 2025 - Today (9 months)
    • - Analysed patterns and trends in employee attrition using Python (Matplotlib), providing insights for HR stakeholders.
    • - Led the migration of an enterprise-wide knowledge base from Confluence to SharePoint, collaborating with cross functional stakeholders to centralise documentation and improve accessibility across the business.
    • - Performed financial data analysis using Python and SQL, querying complex datasets and delivering actionable insights to internal stakeholders.
    • - Developed reusable Python functions to automate data processing workflows, improving efficiency and reducing manual analysis time.
    Python SQL
  • Citibank
    Data Scientist Intern
    June 2024 - August 2024 (2 months)
    • - Built dynamic dashboards in Tableau to present key attrition and retention metrics to HR stakeholders, making prospective recommendations to the business.
    • - Performed data transformation tasks (merges and concatenations), using Python (Pandas) and Excel for efficient data management.
    • - Calculated standard deviations of product performance and created interactive Sunburst plots using Python (Plotly), enhancing product performance analysis across business units.
    • - Analysed patterns and trends in employee attrition using Python (Matplotlib), providing insights for HR stakeholders.
    Python Tableau software Microsoft Excel
  • London Stock Exchange Group
    DevOps Engineer
    June 2023 - August 2023 (2 months)
    • - Migrated internal tools from Bitbucket to GitLab and configured CI/CD pipeline stages (build, test, deploy), reducing deployment time by 18%.
    • - Retrieved and cleaned server log data, then designed an internal Datadog dashboard to track server health and trigger real-time alerts for engineering teams.
    • - Created scripts to automate manual deployment tasks and improve pipeline consistency, enhancing team productivity.
    Gitlab

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Education

  • MSc Data Analytics
    Queen Mary, University of London
    2025
  • BSc Computer Science
    University of Leicester
    2024

Skill set

Model Training and Evaluation
User Feedback Analysis
User Testing
Exploratory Data Analysis
Time Series Analysis and Forecasting
KPIs and Metric Definition and Monitoring

Categories