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Paweł LiberackiPL
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Paweł Liberacki

@paweliberacki

Data analyst at Amazon who cut reporting time from 2 days to 45 minutes and reduced data errors from 25% to 2.06%.

Poland
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At Amazon, I automated recurring reports and dashboards with VBA, SQL, Power Query, Power BI and QuickSight, cutting preparation time for a sample of reports from two days to 45 minutes per cycle. I also helped reduce a previously unmeasured data error rate from 25% to 2.06% in 11 weeks.

I built a returns-process data model and live SQL dashboard, and launched a Generative BI tool whose adoption grew from 11% to 80%. My experience also includes investment and real estate market analysis, plus a public portfolio of analytics projects on GitHub.

Experience

Work history, roles, and key accomplishments

Amazon logoAM

Operations & Data Analyst / Area Manager

Aug 2024 - Aug 2026 (2 years)

Analysed, visualised and presented data to stakeholders at 4 levels of management, designing and automating ~40 reports and dashboards. Automated reporting with VBA, SQL and Power Query, cutting prep time from 2 days to 45 minutes per cycle, and improved data integrity by reducing error rate from 25% to 2.06%.

Education

Degrees, certifications, and relevant coursework

Cracow University of Economics logoCE

Cracow University of Economics

Bachelor of Science, Investment and Economic Advisory

2021 - 2024

Grade: 4.0/5.0

Activities and societies: Relevant coursework: Financial Modelling, Statistics, Econometrics, Microeconomics, Macroeconomics, Investment Analysis.

BSc in Investment and Economic Advisory with a GPA of 4.0/5.0. Thesis on the application of blockchain in modern banking.

Tech stack

Software and tools used professionally

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