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.