Data Analyst

📋 Description

• Gather, cleanse, validate, and manage data from various systems and sources.

• Conduct data analysis to uncover patterns, trends, and relationships.

• Create and sustain dashboards, visualizations, and reports utilizing BI/analytics tools.

• Collaborate closely with business and technical stakeholders to comprehend requirements and convert them into data solutions.

• Maintain data integrity, compliance, and alignment with governance and security standards.

• Generate clear, visually appealing insights for non-technical audiences and decision-makers.

• Assist in structuring and organizing data across systems and interconnected platforms.

⛳️ Requirements

• Strong analytical skills with demonstrated experience in interpreting complex datasets.

• Exceptional written and verbal communication abilities, capable of translating data into understandable insights.

• High attention to detail with a robust discipline in data quality and validation.

• Experience with reporting and BI tools (e.g., Power BI, Tableau, Qlik, Excel BI).

• Familiarity with Python or R for statistical analysis or automation (desirable).

• Understanding of statistical modeling, forecasting, or predictive analytics (desirable).

• Experience with Azure data services, SQL, or cloud-based data stacks (desirable).

• Knowledge of ETL processes, data warehousing, and handling large volumes of data (desirable).

🏝️ Benefits

• Health insurance

• Pension scheme

• Flexible working hours

• Professional development opportunities