Trainee Data Analyst

## 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.