Data Analyst in Abu-Dhabi, UAE

Woopel

Abu Dhabi

Presencial

AED 16.000 - 22.000

Jornada completa

14 días+

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Descripción de la vacante

Woopel in Abu-Dhabi, UAE is seeking a Data Analyst to turn data into actionable insights. You will collect, analyze, and visualize data using Power BI or Tableau to support business decisions.

The role requires strong analytical skills, initiative, independence, and familiarity with SQL and Python; migrant-friendly relocation support is offered to international applicants.

Formación

  • Experience in data analysis and presenting data visually.
  • Strong problem-solving abilities and proactive mindset.
  • Familiarity with SQL, Python and data science tools is a plus.

Responsabilidades

  • Collect, clean and analyze data to improve business processes.
  • Create clear, actionable visualizations to communicate insights.
  • Collaborate with cross-functional teams to develop data-driven solutions.

Conocimientos

Data analysis
SQL
Python
Data visualization
Problem solving
Independent work

Herramientas

Power BI
Tableau

Descripción del empleo

Data Analyst in Abu-Dhabi, UAE

We are looking for a highly motivated and experienced Data Analyst for our company in Abu-Dhabi. We are passionate about using data to drive decisions and uncover insights.

We offer a competitive salary of 1700, as well as a dynamic work environment that promotes creativity and reward results. We are open to hiring someone from abroad and facilitate the process for migrant workers.

In this role, you will draw upon your skills in data collection, analysis, visualization, and communication to improve our data-driven processes. You will use cutting edge technologies such as Power BI or Tableau to create meaningful visualizations of data. You will work collaboratively with teams to develop insightful solutions to business issues.

To be successful in this role, you must have experience in data analysis and visual presentation. You must also have strong problem-solving skills, be proactive and able to work independently. Familiarity with SQL, Python and data science tools is a plus.

If you

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