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    Data Analyst Sample CVs

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    What makes a strong Data Analyst CV

    • Quantify impact: business decisions influenced, cost savings identified, revenue attributed to insights
    • List tools: SQL, Python (Pandas, NumPy), R, Power BI, Tableau, Excel, Looker, Google Analytics
    • Highlight data pipeline work: ETL, data cleaning, data modelling, warehouse querying (BigQuery, Redshift)
    • Include stakeholder communication: translating data findings into clear recommendations for non-technical audiences
    • Showcase dashboard and report delivery: self-service dashboards, automated reports, KPI frameworks

    Key skills employers look for

    Data Analysis

    SQL, Python (Pandas), R, statistical analysis, hypothesis testing, A/B testing, cohort analysis

    Visualisation & BI

    Power BI, Tableau, Looker, Google Data Studio, dashboard design, KPI reporting

    Data Engineering

    ETL pipelines, data cleaning, data modelling, BigQuery, Redshift, Snowflake, dbt

    Business Insight

    Stakeholder presentations, insight storytelling, recommendation development, requirements gathering

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