Data Analyst

About Us:
Globose Technology Solutions Pvt Ltd is a growing technology company based in Bhiwadi, specializing in delivering innovative web development, mobile app solutions, and digital services. Our team is passionate about leveraging modern technology to solve real-world business challenges. We foster a collaborative work culture that encourages creativity, continuous learning, and technical excellence.

Job Description:
We are looking for a detail-oriented Data Analyst to join our team. The ideal candidate will be responsible for interpreting data, analyzing results, and generating actionable insights to support decision-making across departments. You should be proficient in working with large data sets, have strong statistical knowledge, and be comfortable using analytical tools and techniques.

Key Responsibilities:

• Collect, process, and analyze data from various sources to identify trends and patterns
• Develop and maintain dashboards, reports, and KPIs to track business performance
• Work with different teams to understand data needs and provide accurate insights
• Use statistical techniques to interpret data and provide meaningful analysis
• Ensure data accuracy, consistency, and integrity
• Create clear data visualizations using tools like Power BI, Tableau, or Excel
• Prepare analytical reports and present findings to stakeholders

Requirements:

• Proven experience as a Data Analyst or similar role
• Strong knowledge of Excel, SQL, and data visualization tools (Power BI, Tableau, etc.)
• Familiarity with statistical languages like R or Python is a plus
• Ability to work with complex data and draw meaningful conclusions
• Strong attention to detail and accuracy in data handling
• Good communication skills and ability to explain insights to non-technical audiences

Preferred Qualifications:

• Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, or a related field
• Experience with Google Analytics, CRM tools, or data platforms
• Understanding of data warehousing and ETL processes