Data Collection and Processing: Identify and collect data from multiple sources, ensuring data integrity and quality.
Data Analysis: Use statistical and analytical tools to interpret data and identify trends, patterns, and insights.
Data Visualization: Create dashboards and visual reports that facilitate understanding of the data.
Process Automation: Develop scripts and use tools to automate data collection and analysis.
Programming: Knowledge of languages such as Python, R, and SQL for data manipulation and analysis is a plus.
BI Tools: Experience with QlikView.
Statistics: Understanding of statistical methods and their practical application.
Communication: Ability to explain complex concepts clearly and accessibly.
Problem Solving: Capacity to approach problems analytically and find effective solutions.
Teamwork: Effective collaboration with other team members.

Data Analyst

Key skills