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Ahmad IbrahimAI

Ahmad Ibrahim

Business & Performance Data Analyst

€463/day
London, GB
3-7 years

Average response time: 1 hour

About Ahmad

Business & performance data analyst helping teams turn messy financial and operational data into clear, decision-ready insight.

I specialise in short, focused engagements: data validation, KPI definition, and concise analysis or dashboards that surface key trends and patterns for non-technical stakeholders.

PhD-qualified, with a strong bias toward practical answers, trusted data, and clear recommendations.
  • English

    Native or bilingual

  • Arabic

    Fluent

  • Italian

    Conversational

Can work on-site
London (up to 50km)

Experience

  • Self-employed (Analytics Consulting)
    Data Analyst – Performance & Business Insights
    CONSULTING AND AUDITS
    July 2022 - Today (3 years and 11 months)
    London, United Kingdom
    • Performed financial analysis and performance analytics on operational and financial datasets to support business decision-making,
    • Designed and implemented KPI dashboards and business intelligence (BI) reporting frameworks across cost, revenue, and efficiency metrics,
    • Built SQL-based data models and Python analytics pipelines for structured data analysis and automation,
    • Delivered data visualization dashboards (Power BI / Streamlit) for executive and non-technical stakeholders,
    • Conducted trend analysis, forecasting, and performance monitoring for UK-listed and FinTech-related datasets,
    • Managed end-to-end analytics projects from data ingestion and validation to insight delivery.

    Examples of end-to-end analytics work, from data ingestion and validation to insight delivery and dashboards are available on Streamlit:
    • UK macro & financial indicators dashboard – BigQuery-based pipeline using BoE, ECB, and macroeconomic datasets (for trend and regime analysis)
    • Performance KPI monitoring demo – Financial and operational KPIs across UK-listed FinTech companies (for executive performance tracking)
    • Sentiment & Google trend analysis prototype – NLP-based sentiment analysis of Bank of England communications (to support macro and policy interpretation)
    Data analysis Python SQL Data visualization Business intelligence
  • Academic / Research Environment
    Research Analyst / Researcher
    BIOTECH
    September 2013 - June 2017 (3 years and 9 months)
    London, United Kingdom
    • Conducted quantitative data analysis and statistical modelling on large, complex datasets,
    • Applied regression analysis, hypothesis testing, and experimental design methods,
    • Structured and cleaned messy datasets for robust analytical reporting,
    • Delivered data-driven insights to senior decision-makers and cross-functional stakeholders
    Microsoft Excel R regression analysis A/B Testing KPIs and Metric Definition and Monitoring

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Education

  • PhD (Doctor of Philosophy)
    St George's University of London
    2017
    PhD with a strong quantitative and analytical focus, involving data analysis, statistical modelling, and evidence-based decision making. Developed rigorous approaches to data validation, hypothesis testing, and interpretation of complex datasets, with a strong emphasis on translating analysis into clear, actionable insights for senior and non-technical stakeholders.

Skill set

Categories