Professional summary examples
- Data analyst with 3 years of experience turning raw data into decisions. Skilled in SQL, Python and Power BI, with a focus on clear dashboards, reliable metrics and recommendations that business teams actually use.
- Analytical professional who partners with operations, marketing and finance teams to define KPIs, automate reporting and uncover opportunities worth six figures annually.
Experience bullet examples
- Built 12 Power BI dashboards tracking sales, churn and inventory, used weekly by 40+ managers.
- Automated monthly reporting with Python and SQL, saving the finance team 25 hours per month.
- Identified a pricing anomaly in 3 product lines that recovered $120k in annual revenue.
- Designed and analysed A/B tests that increased email click-through rate by 18%.
- Cleaned and consolidated data from 4 source systems into a single reporting model, improving data accuracy to 99%.
- Presented insights to senior leadership, influencing a $500k budget reallocation.
Skills to consider
SQLPythonpandasExcelPower BITableauLookerStatisticsA/B testingData visualisationData cleaningETLGoogle AnalyticsDashboard designStakeholder communication