Data Analyst

Roles and Responsibilities

1. Collect, extract, organize, and analyze data from various sources to support business requirements.
2. Clean, validate, and transform raw data to maintain accuracy, consistency, and reliability.
3. Perform data analysis to identify trends, patterns, relationships, and business opportunities.
4. Write and execute SQL queries to retrieve, filter, join, and manipulate data from databases.
5. Use Microsoft Excel to perform data analysis, create pivot tables, apply formulas, and generate reports.
6. Develop interactive dashboards, reports, and visualizations using Power BI or Tableau.
7. Create and maintain key performance indicator (KPI) reports to monitor business performance.
8. Perform exploratory data analysis (EDA) to understand datasets and identify important insights.
9. Use Python libraries such as Pandas, NumPy, and Matplotlib for data processing and analysis.
10. Work closely with cross-functional teams to understand business requirements and provide data-driven solutions.
11. Prepare daily, weekly, and monthly reports for management and other stakeholders.
12. Identify data discrepancies, investigate errors, and implement appropriate data quality checks.
13. Maintain proper documentation of data sources, analytical processes, and reporting methodologies.
14. Present analytical findings and recommendations in a clear and understandable manner.
15. Support continuous improvement of reporting processes and data analysis workflows.

Technical Skills Required

• Microsoft Excel: Advanced Excel, VLOOKUP, XLOOKUP, Pivot Tables, IF, SUMIF, COUNTIF, and data validation.
• SQL: SELECT, WHERE, GROUP BY, ORDER BY, JOINS, Subqueries, CTEs, and aggregate functions.
• Power BI: Data modeling, Power Query, DAX, dashboard development, and report generation.
• Python: Basic to intermediate knowledge of Pandas, NumPy, and Matplotlib.
• Statistics: Descriptive statistics, mean, median, mode, correlation, and basic probability.
• Data Visualization: Ability to present complex datasets through meaningful charts, graphs, and dashboards.
• Database Knowledge: Understanding of relational databases, tables, and data structures.

Required Skills and Competencies

• Strong analytical and problem-solving abilities.
• Good logical and numerical reasoning skills.
• Excellent attention to detail and accuracy.
• Ability to interpret and analyze large datasets.
• Good communication and presentation skills.
• Ability to work independently and collaboratively within a team.
• Strong organizational and time-management skills.
• Willingness to learn new technologies and analytical tools.

Key Performance Expectations

• Deliver accurate and timely analytical reports.
• Maintain high standards of data quality and consistency.
• Develop meaningful dashboards and business reports.
• Identify actionable insights from available datasets.
• Complete assigned analytical tasks within project deadlines.
• Support business teams with reliable data and reporting solutions.

Preferred Qualifications

• Certification in Power BI, SQL, Python, or Data Analytics.
• Knowledge of Tableau or other business intelligence tools.
• Understanding of ETL processes and data warehousing concepts.
• Experience working on real-time or academic data analytics projects.