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Malt Strategy
Malt Strategy
Zain Ul AbdinZU

Zain Ul Abdin

Data Analyst

125 €/Tag
Erfurt, DE
0-2 Jahre
Python
Microsoft Power BI
SQL
Data analysis
Microsoft Excel

Durchschnittliche Reaktionszeit: 1h

Über Zain

Turn your data into clear insights, smarter decisions, and measurable business impact. I help companies collect, clean, analyze, and visualize data to uncover opportunities, optimize performance, and support strategic decision-making.

As a Data Analyst, I specialize in transforming complex datasets into actionable insights through data analysis, dashboard development, reporting automation, and business intelligence solutions. I work with tools such as SQL, Python, Excel, Power BI, and Tableau to deliver reliable, data-driven results that stakeholders can understand and act on.

What sets me apart is my ability to combine strong analytical skills with a business-focused mindset. I don't just build reports—I help identify the key metrics that matter, explain the story behind the numbers, and provide recommendations that drive results.

Typical projects and deliverables include:
• Interactive Power BI and Tableau dashboards
• KPI tracking and executive reporting
• Data cleaning, validation, and transformation
• SQL querying and database analysis
• Automated reporting and workflow optimization
• Sales, marketing, financial, and operational performance analysis
• Ad-hoc data investigations and business insights reports
• Data visualization and stakeholder presentations

Whether you need to improve reporting processes, understand customer behavior, monitor business performance, or build scalable analytics solutions, I can help you turn data into a competitive advantage.
Digitale & IT-Dienstleistungen
E-Commerce

  • Englisch

    Muttersprachlich oder zweisprachig

  • Deutsch

    Konversationssicher

Vor Ort möglich
Erfurt (bis zu 50 km)

Projekt- und Berufserfahrung

  • Careem
    Data Analyst
    April 2021 - Mai 2023 (2 Jahre und 1 Monat)
    Erfurt, Deutschland
    – Developed structured datasets and analytical pipelines using Python and SQL, creating a reliable foundation for operational and marketing reporting on 20 TB of data.
    – Improved reporting accuracy by implementing automated data validation and QA/QC workflows, reducing inconsistencies by 25% and increasing confidence in business insights.
    – Engineered data quality monitoring dashboards which single-handedly caught and resolved 5-7 data inconsistencies weekly, ensuring reliable reporting and contributing directly to data-driven decision-making
    – Improved interactive Power BI dashboards for 20+ stakeholders, translating complex datasets into actionable KPI insights and enabling faster decision-making.
    – Automated recurring reporting workflows with Excel VBA, reducing manual effort by 40% and improving team efficiency
    – Orchestrated meetings between 4 departments to create standardized KPIs, which in turn strengthened data-driven decision-making across operational processes and enhanced revenue tracking accuracy by 18%.
    Python SQL Microsoft Excel PowerBI Data analysis

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Ausbildung und Abschlüsse

  • M.Sc. in Research
    TU Ilmenau
    2026
    M.Sc. in Research
  • BS. in Computer Science
    University of Sargodha
    2019
    BS. in Computer Science

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