Job Summary:
We are seeking a Trainee – Junior Data Analyst to join a rapidly growing team. This entry-level opportunity is perfect for individuals eager to start their careers in Data Analytics and Generative AI. The successful candidate will work on cutting-edge technologies and gain valuable experience in customer management and complaint handling within the Life Sciences sector.
This position is a hybrid role and involves rotational shifts, providing exposure to both technical and customer-centric aspects of business operations. The role is designed for individuals who are proactive and passionate about learning and development.
Key Job Details
- Job Title: Trainee – Junior Data Analyst (Entry-Level)
- Location: Hybrid, Rotational Shifts
- Employment Type: Full-time
- Job Category: Data Analytics
- Date Published: January 3, 2025
- Travel Required: No
Key Responsibilities
- Data Management: Maintain and ensure the accuracy and integrity of customer and business data across various systems.
- Generative AI Implementation: Assist in implementing Generative AI tools to enhance customer management processes and improve efficiency.
- Data Analysis: Use MS Excel to analyze and generate reports from customer data, identifying actionable trends and insights.
- Customer Complaints Handling: Ensure efficient resolution of customer complaints, maintaining high satisfaction levels.
- Cross-Functional Collaboration: Work with different teams to improve customer service processes and operational strategies.
- Reporting and Documentation: Create insightful reports and documentation to support business decision-making.
- Compliance and Best Practices: Follow industry regulations and support the creation of best practices for customer service.
Qualifications
- Technical Skills: Proficiency in Generative AI tools and MS Excel.
- Analytical Thinking: Strong ability to analyze data and derive meaningful insights.
- Problem-Solving: Proactive in resolving issues and optimizing processes.
- Communication: Excellent communication skills to collaborate with teams and report findings.
- Adaptability: Comfortable working in rotational shifts and a hybrid work environment.
- Attention to Detail: Strong attention to detail and ability to manage multiple tasks effectively.
- Learning Agility: A passion for continuous learning and career growth in data analytics and AI.
Certifications (Preferred)
- Microsoft Office Specialist (MOS) in Excel
- AI for Everyone (Coursera)
- Certified Customer Service Professional (CCSP)
Why Consider This Role?
- Global Exposure: Work with leading industry players and gain international experience.
- Growth Opportunities: Access to continuous learning and development within a dynamic environment.
- Work-Life Balance: Hybrid work model offering flexibility to balance professional and personal life.
- Supportive Culture: Be part of a team that values collaboration, innovation, and professional growth.
Apply Now
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