Data Analyst (Mid - Senior)

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Requirements:

• Trustworthy, self-motivated, and responsive.
• Strong listening, verbal, written, and presentation communication skills.
• Excellent attention to detail and organization skills.
• Proficiency in SQL for querying and manipulating large datasets.
• Experience with data visualization tools like Tableau or Power BI.
• Strong knowledge of Microsoft Excel.
• Familiarity with statistical software or programming languages like Python or R.
• Knowledge of database management systems (e.g., MySQL, PostgreSQL) and ETL processes.
• Bachelor’s degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field.
• 1–3 years of experience in data analysis, preferably in the Tech industry.

Responsibilities:

• Collect, clean, and validate data from multiple sources.
• Analyze large datasets to identify trends, patterns, and anomalies.
• Generate reports and insights to support business objectives.
• Create detailed reports, dashboards, and visualizations.
• Conduct statistical analyses and build predictive models.
• Collaborate with cross-functional teams to understand data requirements.
• Identify opportunities for process improvements and optimization.
• Respond to ad-hoc data requests as needed.
• Ensure data is handled securely while adhering to policies.