Senior Data Analyst - Python, SQL, Numpy

Role Summary

The Senior Data Analyst plays a critical role in harnessing data to inform strategic business decisions. This position demands a strong analytical capability and technical expertise to analyze complex datasets, produce comprehensive reports, and work alongside various teams to promote data-led insights.

Responsibilities

• Analyze and interpret large datasets utilizing Python and SQL to derive actionable insights.
• Create and sustain dashboards and reports that deliver key information to stakeholders.
• Collaborate with data engineers and fellow analysts to maintain the quality and accuracy of data.
• Leverage NumPy and Pandas for proficient data manipulation and analysis tasks.
• Employ Kotlin for necessary data processing and integration initiatives.
• Clearly communicate findings and strategic recommendations to management and relevant stakeholders.

Must-Have Skills

• Proficient in Python and SQL for advanced data analysis.
• Strong experience with data manipulation libraries such as NumPy and Pandas.
• Familiarity with Kotlin is an asset.
• Exceptional analytical skills with a focus on problem-solving.
• Effective communication skills, both written and verbal.

Good-to-Have Skills

• Experience with data visualization tools is advantageous.
• Knowledge of statistical analysis methods would be beneficial.