Data Analyst [SQL, Python] ⁿ

Data Analyst collects, analyzes, and interprets data to provide actionable insights that help businesses make better decisions. They use statistical methods and data visualization tools to identify trends, patterns, and anomalies in data, ultimately translating complex data into understandable information.

Nice to have: ETL

Duties and Responsibilities:

• Develop and implement advanced data analysis techniques to optimize efficiency and quality.
• Prepare and present detailed reports, dashboards, and visualizations of operational results for stakeholders.
• Interpret data using analytics and statistical methods, providing insights and recommendations.
• Lead the full lifecycle of analytics projects, from requirements gathering to design and execution.
• Evaluate key performance indicators and provide ongoing reports to support decision-making.
• Collaborate with cross-functional teams to ensure data integrity and alignment with business goals.
• Stay updated on industry trends and emerging technologies in data analysis and analytics tools.
• Conducted data quality assessments and implemented improvements as needed.
• Support the development and implementation of data governance policies and procedures.
• Mentor junior analysts and provide training on data analysis techniques and tools.
• Other job-related activities may be assigned from time to time.