As a Senior Data Analyst, you will be responsible for collecting, processing, analyzing, and presenting complex data to support business decisions and improve organizational efficiency. The ideal candidate will have a strong understanding of data analysis techniques, statistical analysis, and data visualization tools.
Responsibilities:
Collect, clean, and process large datasets for analysis and reporting purposes.
Conduct statistical analysis and apply mathematical models to data to identify patterns, trends, and insights.
Plan and conduct experiments to test hypotheses, evaluate the effectiveness of different business strategies, and recommend solutions.
Develop and maintain dashboards, visualizations, and reports to communicate key insights to stakeholders.
Collaborate with teammates to understand business requirements and propose solutions for data-driven decision-making.
Monitor data quality and ensure data accuracy, completeness, and consistency.
Run ad-hoc data analyses to diagnose business opportunities and recommend actions through effective data storytelling techniques.
Job Requirements:
Bachelor's degree in Industrial engineering, Mathematics, Statistics, Computer Science, or a related field.
+2 years of experience in a similar position
Good analytical mindset and interpret data, analyze results using statistical techniques, and provide ongoing reports.
Experience in handling large datasets using SQL and Python language.
Knowledge of database management, data warehousing, and ETL processes.
Excellent communication and teamwork skills.
Team leadership experience is considered a plus.
Proficiency in SQL
Proficiency in Python and PyData tools (Pandas, Numpy, Matplotlib, ...)
Knowledge in developing automated reports, dashboards, and data visualization (Preferred Power BI)
Excellent Excel knowledge is considered a plus.
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