Data Analytics Trainee

5 days ago


Lahore, Punjab, Pakistan Programmers Force Pvt. Ltd. Full time
Job Overview
We are seeking a talented Data Analyst Trainee to join our team at Programmers Force Pvt. Ltd. As a key member of our analytics team, you will play a vital role in collecting, analyzing, and interpreting complex data sets to drive business decisions.

About the Job
This entry-level position offers hands-on experience in data analysis, reporting, and insights generation with a structured growth path toward data science. You will work closely with senior analysts and data scientists on predictive analytics and AI-driven solutions, ensuring seamless integration of machine learning projects into our business strategy.

Responsibilities
• Collect, clean, and analyze data from various sources to identify trends and insights.
• Assist in developing dashboards and reports using Power BI, Tableau, or other visualization tools.
• Write SQL queries to extract and manipulate data from databases.
• Work with structured and unstructured data for business intelligence and decision-making.
• Support data modeling, feature engineering, and exploratory data analysis (EDA) for machine learning projects.
• Collaborate with senior analysts and data scientists on predictive analytics and AI-driven solutions.
• Stay updated with the latest trends in data analytics, machine learning, and AI.

Requirements
• Fresh graduate with a degree in Computer Science, Data Science, Statistics, Mathematics, or related fields.
• Basic understanding of SQL, Python, or R for data manipulation and analysis.
• Familiarity with Excel, Power BI, or Tableau for reporting and visualization.
• Strong analytical thinking and problem-solving skills.
• Passion for learning and transitioning into data science and AI.
• Excellent communication skills and ability to interpret data-driven insights.

Benefits
• Hands-on exposure to real-world datasets and analytics projects.
• Training & mentorship from experienced data scientists.
• Career progression towards Data Science, AI, and ML roles.
• Collaborative work environment with cutting-edge technology.

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