Data Analyst

We are seeking a detail-oriented Data Analyst to collect, analyze, and interpret data in support of business decision-making. The successful candidate will identify trends, develop reports and dashboards, and translate complex data into clear, actionable insights for stakeholders., * Collect, clean, validate, and analyze data from multiple sources.

• Develop and maintain dashboards, reports, and performance metrics.
• Use SQL to extract, manipulate, and analyze data from databases.
• Identify trends, patterns, anomalies, and opportunities in datasets.
• Translate business requirements into analytical solutions and measurable KPIs.
• Create data visualizations using tools such as Power BI, Tableau, or Excel.
• Work with business teams and other stakeholders to understand reporting and analytical requirements.
• Perform ad hoc analysis to support business decisions and strategic initiatives.
• Monitor data quality and resolve inconsistencies or reporting issues.
• Present findings and recommendations clearly to technical and non-technical audiences.
• Automate recurring reports and improve analytical processes where possible.
• Maintain documentation for reports, data sources, metrics, and analytical processes.

• Strong knowledge of SQL and relational databases.
• Advanced Microsoft Excel skills, including PivotTables, formulas, and data analysis.
• Experience with visualization tools such as Power BI or Tableau.
• Understanding of data cleaning, transformation, and validation techniques.
• Strong analytical and problem-solving abilities.
• Ability to communicate findings effectively to technical and non-technical audiences.
• High attention to detail and accuracy.
• Good organizational and time-management skills.

Preferred Skills

• Experience with Python or R for data analysis and automation.
• Knowledge of statistical analysis and data modeling.
• Familiarity with ETL processes and data warehouses.
• Experience working with large datasets.
• Understanding of business intelligence and reporting best practices.
• Familiarity with cloud data platforms such as Azure, AWS, Snowflake, or Google Cloud., * Bachelor’s degree in Data Analytics, Statistics, Mathematics, Computer Science, Economics, Business, or a related field.
• 1-3+ years of experience in data analysis, business intelligence, reporting, or a related role, depending on the position level.

Key Competencies

Analytical Thinking * Data Visualization * SQL * Excel * Power BI/Tableau * Problem Solving * Data Quality * Reporting * Business Intelligence * Communication * Attention to Detail

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Salaries

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