Data Analyst

We are seeking a detail-oriented and analytical Data Analyst to join our team. The ideal candidate will be responsible for collecting, analyzing, and interpreting large datasets to help drive business decisions. You will work closely with cross-functional teams to provide data-driven insights, improve processes, and optimize business strategies.

Key Responsibilities:

• Collect, clean, and analyze large datasets to identify trends and insights.
• Develop and maintain dashboards, reports, and visualizations using tools like Tableau, Power BI, or Excel.
• Write and optimize SQL queries to extract and manipulate data from databases.
• Utilize Python, R, or Excel for data analysis, modeling, and automation.
• Conduct statistical analysis and predictive modeling to support business objectives.
• Collaborate with business teams, product managers, and stakeholders to translate data into actionable insights.
• Ensure data integrity and accuracy while troubleshooting inconsistencies.
• Identify key performance indicators (KPIs) and track business metrics.
• Stay updated with the latest data analytics trends, tools, and best practices.

         Preferred Qualifications:

• Experience with cloud platforms like AWS, Google Cloud, or Azure.
• Familiarity with machine learning models and AI-driven analytics.
• Knowledge of A/B testing, regression analysis, and forecasting techniques.

Required Skills & Qualifications:

• Bachelor’s degree in Data Science, Computer Science, Statistics, Business Analytics, or a related field.
• Proficiency in SQL, Excel, Python, or R for data manipulation and analysis.
• Experience with data visualization tools such as Tableau or Power BI.
• Strong understanding of statistical methods and business intelligence (BI) concepts.
• Excellent problem-solving, critical thinking, and communication skills.
• Ability to work with large datasets and present insights in a clear, actionable manner.
• Experience with ETL processes, data warehousing, and big data technologies is a plus