Game District · Lahore
Apply on Game District’s site →Trainee Data Analyst - Game District - Career Page
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{
"@type": "Organization",
"name": "Game District",
"url": "https:\/\/www.gamedistrict.co\/"
}
{
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"@type": "JobPosting",
"url": "https:\/\/gamedistrict.applytojob.com\/apply\/mGqgRqIC8K\/Trainee-Data-Analyst",
"title": "Trainee Data Analyst",
"description": " 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.
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Trainee Data Analyst
Lahore, Punjab, Pakistan
Full Time
Entry Level
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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.
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