Overview

Are you passionate about data, problem-solving, and uncovering meaningful insights? We are looking for highly motivated and analytical individuals to join our Pixls Training Program.

This program is designed for fresh graduates and early-career professionals who want to build a successful career in Data Analytics. As a Trainee Data Analyst, you will receive structured training, hands-on experience with real business data, and mentorship from experienced professionals. You'll work alongside cross-functional teams, learn industry-standard tools and techniques, and develop the analytical mindset needed to solve real-world business problems. A market-competitive stipend will be provided throughout the training program, along with the opportunity to secure a permanent position based on your performance and successful completion of the program.

Responsibilities

• Actively participate in all training sessions, workshops, and learning activities throughout the Pixls Program.
• Complete assigned learning modules, assessments, and practical exercises within the given timelines.
• Work on real-world case studies and hands-on projects to develop analytical and problem-solving skills.
• Practice data cleaning, data validation, and data analysis using industry-standard tools.
• Develop proficiency in Excel, SQL, and other analytical tools introduced during the program.
• Learn to create reports, dashboards, and data visualizations to communicate insights effectively.
• Collaborate with mentors and fellow trainees on group activities and learning assignments.
• Apply feedback from mentors and continuously improve technical, analytical, and communication skills.
• Present project findings and analytical insights to mentors and stakeholders in a clear and structured manner.
• Demonstrate professionalism, curiosity, teamwork, and a willingness to learn throughout the program.
• Complete all training milestones and evaluations to qualify for potential full-time employment.

Requirements

• Bachelor's degree in Data Science, Computer Science, Data Analytics, Business Intelligence, or a related field.
• Fresh graduates or candidates with up to 1 year of relevant experience.
• Intermediate proficiency in Microsoft Excel (Pivot Tables, Lookup Functions, Data Cleaning, Basic Formulas).
• Intermediate knowledge of SQL for querying and analyzing data.
• Strong analytical and logical thinking skills.
• Ability to break down complex problems into structured, manageable steps.
• Excellent attention to detail with a habit of validating data before presenting conclusions.
• Strong verbal and written communication skills.
• Ability to explain data and insights in simple language to non-technical audiences.
• Comfortable making decisions and working with incomplete information.
• Quick learner with a strong curiosity for business, user behavior, and data.
• Collaborative mindset with the ability to work effectively in a team environment.
• Self-motivated, proactive, and willing to take ownership of assigned tasks.
• Open to feedback and committed to continuous learning and improvement.

Nice to Have

• Basic knowledge of Python (Pandas, NumPy).
• Familiarity with Power BI, Tableau, or other data visualization tools.
• Basic understanding of statistics and data analysis concepts.
• Knowledge of Business Intelligence concepts and reporting.
• Understanding of KPIs, business metrics, and performance reporting.
• Participation in hackathons, research projects, or data competitions.