Data Analyst

Data Analyst is responsible for collecting, processing, and analyzing data to help make data-driven decisions. This role involves working with large datasets, identifying trends, creating reports, and providing actionable insights to stakeholders.

• Job Summary:
  The Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make data-driven decisions. This role involves working with large datasets, identifying trends, creating reports, and providing actionable insights to stakeholders.
• Key Responsibilities:
  Gather, clean, and organize large datasets from various sources.
• Validate and verify data accuracy, consistency, and completeness across various data sources.
• Identify and resolve data discrepancies, inconsistencies and errors.
• Performa routine and ad hoc data quality checks using automated and manual validation techniques.
• Work closely with data entry teams and other analysts and stakeholders to ensure data integrity.
• Perform data analysis to identify trends, patterns, and correlations.
• Develop reports, dashboards, and visualizations using tools like Excel, SQL, Tableau, or Power BI.
• Collaborate with cross-functional teams to support business objectives.
• Interpret data to provide strategic recommendations and business insights.
• Ensure data accuracy and integrity.
• Use statistical techniques and predictive modeling to improve decision-making.
• Document processes and methodologies for data collection and analysis.

• Required Skills & Qualifications:
  Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field.
• Proficiency in data analysis tools such as SQL, Python, R, or Excel.
• Experience with data visualization tools like Tableau, Power BI, or Google Data Studio.
• Strong analytical and problem-solving skills.
• Excellent communication and presentation abilities.
• Ability to work independently and in a team-oriented environment.
• Attention to detail and a strong understanding of data governance principles.
• Preferred Qualifications:
  Experience in machine learning, predictive modeling, or statistical analysis.
• Knowledge of database management and ETL (Extract, Transform, Load) processes.
• Familiarity with cloud platforms such as AWS, Google Cloud, or Azure.