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Katarzyna Kamińska

Katarzyna
Kamińska

Senior Business Intelligence Analyst

Profile

Dedicated Data Analyst with verified hands-on expertise. Proven track record in delivering high quality outcomes and driving team productivity.

Experience

2021 – Obecnie E-commerce Giant Marketplace
Senior Data Analyst

Zaprojektowałam centralne dashboardy KPI w Power BI używane codziennie przez 120 managerów. Moje rekomendacje cenowe przyczyniły się do wzrostu marży brutto o 3.4 pp.

2019 – 2021 Bank Handlowy
Analityk Danych

Budowałam modele predykcyjne rezygnacji klientów detalicznych i zautomatyzowałam 15 cyklicznych raportów zarządczych w SQL i Python.

Skills

Zaawansowany SQL (okna czasowe, CTE)
Power BI & DAX
Tableau Dashboarding
Python (Pandas, NumPy, Matplotlib)
Google Analytics 4 & BigQuery
Modelowanie danych hurtowni

Professional Summary Example

Wzorcowy profil zawodowy dla stanowiska Data Analyst, zoptymalizowany pod kątem rekruterów i systemów ATS:

"Dedicated Data Analyst with verified hands-on expertise. Proven track record in delivering high quality outcomes and driving team productivity."

Key Skills & Core Competencies

Hard Skills & Technical Stack:

Zaawansowany SQL (okna czasowe, CTE)Power BI & DAXTableau DashboardingPython (Pandas, NumPy, Matplotlib)Google Analytics 4 & BigQueryModelowanie danych hurtowniStatystyka opisowa i wnioskowanieA/B Testing

Soft Skills & Interpersonal Strengths:

Data storytelling dla zarząduZrozumienie metryk biznesowych (CAC, LTV, Churn)Krytyczne myślenieZdolność do syntezy wielkich zbiorów danych

Action Verbs & Quantifiable Results

Użyj poniższych sformułowań, aby wyróżnić swoje rezultaty w sekcji Experience:

  • Streamlined – operational workflows to cut turnaround time by 28%.
  • Spearheaded – quality initiatives ensuring 99.8% precision.
  • Coordinated – cross-functional project schedules and daily priorities.
  • Reduced – operational risks through rigorous adherence to industry standards.

Frequently Asked Questions (FAQ)

What should be included in a Data Analyst summary?

Specify your key credentials as Data Analyst, your core stack/skills, and an achievement with measurable numbers.

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