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