Aletta Rozsnyai-Kovács

Angestellt, Analyst - Payroll, Thermo Fisher Scientific

Budapest, Ungarn

Über mich

Analyst with a strong background in HR and Payroll Analytics, aiming at leveraging technology to enhance efficiency and organizational success. Looking to relocate and utilize my data analysis skills.

Fähigkeiten und Kenntnisse

SQL
Datenanalyse
Microsoft Power BI
VBA
SAP
SPSS
JASP
Python
M
Reporting
Tableau Software
Data Analysis
Data Management
Business Analytics
Workday Software
Human Resources
Analytics
HR processes
Microsoft Excel
Labor law
Database
German

Werdegang

Berufserfahrung von Aletta Rozsnyai-Kovács

  • Bis heute 1 Jahr und 3 Monate, seit Feb. 2023

    Analyst - Payroll

    Thermo Fisher Scientific

    - Overseeing the end-to-end payroll process for a workforce of over 2000 employees. - Implementing process enhancements using VBA, M and Python, resulting in a significant 30% reduction in the time required for payroll data validation. - Developing automated PowerBI dashboards and reports collaborating with corss-functional teams to reduce time spent at analyzing workforce changes. - Working collaboratively on the implementation of a new payroll information system using Agile methodologies.

  • 1 Jahr und 8 Monate, Juli 2021 - Feb. 2023

    Analyst - HR

    Thermo Fisher Scientific

    - Supported key HR processes end to end, providing an excellent colleague experience across 700+ employees. - Maintained organization changes in HRIA systems and updating employment contracts according to Labor Law. - Participated in HR process optimization projects working with multiple Workday modules, such as core HR, recruitment and time tracking. - Maintained high employee satisfaction levels by following operational best practices and compliance requirements.

Ausbildung von Aletta Rozsnyai-Kovács

  • 4 Jahre und 11 Monate, Sep. 2018 - Juli 2023

    Clinical and Health Psychology

    Eotvos Lorand University of Budapest

    Interviewing, communication and performance management - Research Methods at Master's level - Advanced Statistics and Data Analysis

Sprachen

  • Deutsch

    Gut

  • Englisch

    Fließend

  • Ungarisch

    Muttersprache

Interessen

Banking & Finance
Sports
Investing
Travel

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