Data Analyst

✔️ Collect, clean, and analyze large datasets to generate actionable business insights.

✔️ Use visualization tools like Power BI, Tableau, or Looker to create dashboards and reports.

✔️ Conduct trend analysis, forecasting, and statistical evaluations.

✔️ Work with SQL databases to write optimized queries and manage datasets.

✔️ Collaborate with stakeholders to understand business requirements and KPIs.

✔️ Build data models for different business functions and analytical needs.

✔️ Identify data anomalies, inconsistencies, and quality issues.

✔️ Automate recurring reporting tasks using Python, R, or Excel macros.

✔️ Perform root-cause analysis to solve data-driven problems.

✔️ Support predictive analytics and machine-learning model preparation.

✔️ Present insights to leadership in a clear, concise, and visual format.

✔️ Assist in building data pipelines and ETL processes.

✔️ Work alongside engineers to improve database performance and data availability.

✔️ Ensure compliance with data governance standards and privacy regulations.

✔️ Maintain documentation of datasets, metrics definitions, and reporting processes.

✔️ Convert complex data into meaningful business recommendations.

✔️ Track key performance indicators and business metrics routinely.

✔️ Monitor data sources for freshness, accuracy, and completeness.

✔️ Support A/B testing, market analysis, and product performance studies.

✔️ Contribute to data strategy, BI improvements, and automation initiatives.