Data Analyst: Insights & Dashboards with Visa Sponsorship

OasisConstruct UAE

Funchal

On-site

EUR 14,000 - 17,000

Full time

14 days+

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Job summary

OasisConstruct UAE is seeking a skilled Data Analyst to join our team in Funchal. You will collect, clean, and analyze large datasets, developing dashboards and reports to track KPIs and inform strategic decisions.

Collaboration with multiple teams will help translate business needs into data-driven solutions. The ideal candidate holds a Bachelor's degree in a quantitative field, has strong SQL and Excel skills, and is proficient with at least one analytics tool (Tableau or Power BI).

Qualifications

  • Bachelor's degree in Mathematics, Statistics, Computer Science or related field.
  • Proven experience as a Data Analyst or similar role.
  • Strong analytical skills with the ability to collect, organize, analyze, and interpret large datasets.
  • Proficiency in SQL, Excel, and statistical tools (such as R or Python).

Responsibilities

  • Collect, clean, and organize large datasets from multiple sources.
  • Analyze data using statistical methods and tools to identify patterns and trends.
  • Interpret and present findings to stakeholders in a clear and concise manner.
  • Collaborate with teams across the organization to understand business needs and provide data-driven recommendations.
  • Develop data models, dashboards, and reports to track KPIs.
  • Identify opportunities for process improvement based on data analysis results.
  • Stay updated on industry trends and best practices in data analysis.

Skills

SQL
Excel
Python
R
Tableau
Power BI

Education

Bachelor's degree in Mathematics, Statistics, Computer Science or related field

Tools

Tableau
Power BI
Excel
Python

Job description

OasisConstruct UAE is seeking a skilled Data Analyst to join our team in Funchal. You will collect, clean, and analyze large datasets, developing dashboards and reports to track KPIs and inform strategic decisions.

Collaboration with multiple teams will help translate business needs into data-driven solutions. The ideal candidate holds a Bachelor's degree in a quantitative field, has strong SQL and Excel skills, and is proficient with at least one analytics tool (Tableau or Power BI).

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