🏢 Company Overview:
Armakuni is a leading technology and cloud engineering company committed to helping organizations modernize their digital infrastructure and make data-driven decisions. Our team combines innovation, expertise, and collaboration to deliver cutting-edge solutions across industries. At Armakuni, we believe in empowering individuals with opportunities to grow and contribute meaningfully, regardless of experience level.
💼 Job Details:
- Employment type: Part Time
- Experience: 1+ Years
- Salary: ₹15,000 – ₹20,000 monthly
- Location: Work For Home
- Work timing: 9:45 AM to 6:45 PM
- Working Days: 5 Days
- Education: Any Degree
📝 Job Description:
Armakuni is looking for a detail-oriented and analytical individual to join our data team as a part-time Data Analyst. The ideal candidate will be responsible for collecting, processing, and analyzing data to help improve business insights and support decision-making. This role is suitable for students, freelancers, or professionals looking for flexible part-time work in data analytics.
🔑 Key Responsibilities:
- Collect, clean, and organize data from multiple sources
- Perform data analysis to identify trends and patterns
- Create dashboards, reports, and visualizations for stakeholders
- Collaborate with team members to interpret analytical findings
- Ensure data accuracy and integrity
- Present insights and recommendations based on analysis
🛠️ Required Skills & Qualifications:
- Basic understanding of data analysis and statistics
- Proficiency in Excel, Google Sheets, or data visualization tools (e.g., Power BI, Tableau)
- Knowledge of SQL or Python for data manipulation is a plus
- Strong problem-solving and critical-thinking skills
- Attention to detail and ability to manage multiple tasks
- Good communication and teamwork skills
🌟 Benefits:
- Flexible part-time work schedule
- Opportunity to gain practical experience in data analytics
- Collaborative and growth-oriented work environment
- Exposure to modern tools and technologies
- Career development and training support
