Data Analyst: Insights, Dashboards & Visa Sponsorship

Oman OnlineConnect; Funchal; Sur place; EUR 10 000 - 14 000; Plein temps

Avantages offerts par ce poste

Competitive salary

Visa sponsorship

Résumé du poste

Oman OnlineConnect is hiring a Data Analyst in Funchal to transform large datasets into actionable insights and drive data-driven decisions. You will build reports, dashboards, and visuals, collaborating with cross-functional teams to understand business needs and identify improvement opportunities.

The role demands strong analytical skills, attention to detail, and the ability to communicate complex data clearly.

Qualifications

• Bachelor's degree in Mathematics, Statistics, Computer Science or related field.
• 2+ years of experience as a Data Analyst or similar role.
• Proficient in SQL and data visualization tools (e.g. Tableau).
• Strong analytical skills with the ability to collect, organize, analyze and disseminate significant amounts of information with attention to detail.
• Excellent communication skills with the ability to present complex information in a clear and concise manner.
• Knowledge of programming languages such as Python or R is a plus.

Responsabilités

• Collect and analyze large datasets using statistical techniques.
• Identify trends and patterns in data.
• Develop reports, visualizations, and dashboards to communicate insights.
• Collaborate with cross-functional teams to understand business needs and provide data-driven solutions.
• Identify opportunities for process improvement based on data analysis.
• Stay up-to-date with industry trends and best practices in data analysis.

Connaissances

SQL

Data visualization

Analytical thinking

Formation

BSc in Mathematics/Statistics/CS

Outils

Tableau

Python

Description du poste

Oman OnlineConnect is hiring a Data Analyst in Funchal to transform large datasets into actionable insights and drive data-driven decisions. You will build reports, dashboards, and visuals, collaborating with cross-functional teams to understand business needs and identify improvement opportunities.

The role demands strong analytical skills, attention to detail, and the ability to communicate complex data clearly.