Data Analyst

Key Responsibilities

• Collect, clean, and organize data from various sources to ensure accuracy and reliability.
• Analyze datasets to identify trends, patterns, and actionable insights that support business decisions.
• Create and maintain reports, dashboards, and visualizations using tools such as Excel, Power BI, or Tableau.
• Assist in preparing data summaries and presentations for stakeholders and management.
• Perform data validation and quality checks to ensure data integrity.
• Support business teams by providing timely and accurate analytical reports.
• Work with databases and write basic SQL queries to retrieve, update, and manage data.
• Collaborate with cross-functional teams to understand business requirements and reporting needs.
• Monitor key performance indicators (KPIs) and generate periodic performance reports.
• Help automate recurring reports and data collection processes where applicable.
• Document data definitions, methodologies, and analysis procedures.
• Stay updated on industry trends, data analytics tools, and best practices.

Requirements & Tech Stack

• Basic knowledge of SQL and database concepts.
• Proficiency in Microsoft Excel, including formulas, pivot tables, and data analysis techniques.
• Familiarity with Power BI, Tableau, or other data visualization tools.
• Understanding of statistics and data analysis concepts.
• Strong analytical and problem-solving skills.
• Good communication and presentation abilities.
• Ability to work independently and collaboratively in a team environment.

Qualifications

• Bachelor's degree in Computer Science, Statistics, Mathematics, Business Analytics, or a related field.
• Internship or academic project experience in data analysis (preferred).
• Basic knowledge of Python or R for data analysis (preferred).
• Familiarity with data warehousing and ETL concepts (preferred).
• Exposure to cloud platforms such as Azure, AWS, or Google Cloud is a plus.