Data Analyst

Nabízím práci
Jméno/Firma
BEKO SPÓLKA AKCYJNA, organizační složka
Pracoviště
Bucharova 2657/12, Praha
Úvazek
Plný
Požadované vzdělání
Vysokoškolské
Požadované jazyky
Angličtina, Čeština
Profese
Informatika a IT služby
Nabízím práci/ Hledám práci
Nabízím práci
Vytvořeno
12. 8. 2025

O pozici

Pracovní nabídka

We are looking for a skilled and proactive Analyst to join our team. This role is ideal for someone with proven analytical experience, a strong grasp of data tools, and the ability to independently deliver insights that drive business results in a fast-paced environment.

As an Analyst, you will take ownership of data analysis projects from end to end — from collecting and processing data to presenting actionable recommendations to stakeholders. You’ll collaborate with various departments, ensuring our decisions are backed by accurate, timely, and relevant information.

Key responsibilities:

  • Independently collect, clean, and manage data from multiple internal and external sources.
  • Design, build, and maintain reports, dashboards, and visualizations (e.g., Excel, Tableau, Power BI) to monitor KPIs and business performance.
  • Perform in-depth analyses to identify trends, patterns, and business opportunities, and translate findings into actionable recommendations.
  • Ensure data accuracy, consistency, and integrity across reporting systems.
  • Partner with cross-functional teams (sales, finance, marketing, logistics) to define analytical needs and provide data-driven solutions.
  • Contribute to the development and optimization of data processes and reporting standards.

Requirements:

  • Native Czech or Slovak language, very good knowledge of English language
  • Bachelor’s degree in business, Economics, Statistics, Mathematics, Computer Science, or a related field.
  • Strong skills in Excel/Google Sheets (advanced formulas, pivot tables, charts, data cleaning, macros).
  • Proficiency in at least one data visualization tool (e.g., Tableau, Power BI) and familiarity with basic data modelling.
  • Experience working with large datasets and ability to draw meaningful conclusions.
  • Excellent communication skills to clearly convey data insights and recommendations to both technical and non-technical audiences.
  • High attention to detail, strong problem-solving skills, and the ability to prioritize multiple tasks.