Research Data Science and AI Analyst
Pakistan Footwear Manufactures Association (PFMA)
PKR 160,000 • Published Date: • Lahore, Pakistan (On-Site)
Description
The Research Data Science and AI Analyst role at Pakistan Footwear Manufactures Association (PFMA) involves leveraging advanced data science techniques and artificial intelligence to generate insights that support the footwear manufacturing sector in Pakistan. This role focuses on collecting, analyzing, and interpreting complex data sets to guide strategic decision-making and research initiatives. The analyst applies expertise in Python, SQL, statistical analysis, and data visualization tools like Power BI to transform raw data into actionable intelligence relevant to industry trends, economic factors, and operational efficiencies. The ideal candidate is a graduate from prestigious institutions such as LSE, NUST, or comparable universities and possesses at least two years of experience in research-oriented data analysis. The analyst works independently, as team management is not a responsibility in this position. Strong analytical thinking, research skills, and domain knowledge in economics combined with proficiency in data science are essential to delivering impactful reports and recommendations that advance the objectives of PFMA.
Responsibilities
- Collect, clean, and preprocess complex datasets from various sources related to the footwear manufacturing industry.
- Develop and implement statistical models and machine learning algorithms to interpret data and forecast industry trends.
- Use Python and SQL to manipulate data, perform queries, and automate data-related tasks.
- Create comprehensive and visually compelling dashboards and reports using Power BI to communicate findings effectively to stakeholders.
- Conduct in-depth economic analysis and research to understand market dynamics and their impact on the footwear sector.
- Collaborate with industry experts and researchers to align data-driven insights with organizational goals.
- Monitor and evaluate the performance of implemented AI models to ensure accuracy and reliability.
- Stay current with the latest advancements in data science, artificial intelligence, and industry developments to continuously improve analytical methodologies.
- Support strategic planning by providing actionable insights based on rigorous data analysis and research findings.
- Ensure data integrity, security, and confidentiality in all research processes.
Experience
2 Years
Apply By
Required Skills
- Python
- SQL
- Machine Learning
- Data Cleaning
- Data Preprocessing
Nice to Have Skills
- Statistical Analysis
- Power BI
- Economics
- Research
- Data Analysis
- Data Visualization