Junior Data Analyst

SwiftMove Logistics; Lahore; Hybrid; PKR 4,227,000 - 5,063,000; Full time

Benefits offered by this job

Remote work options

Job summary

SwiftMove Logistics in Lahore, Pakistan is seeking a Junior Data Analyst to join our team. You will collect, organize and analyze large datasets to identify patterns and inform business decisions. You will work with senior analysts and stakeholders to deliver actionable insights.

The role emphasizes data quality, reporting, and collaboration. Candidates with a degree in Statistics/Math/CS and hands-on SQL/Excel experience, plus Python or R familiarity, are encouraged to apply.

Qualifications

• Bachelor's degree in Statistics, Mathematics or Computer Science
• Strong analytical skills with the ability to collect, organize and analyze large datasets
• Proficiency in SQL, Excel, or other data analysis tools
• Familiarity with programming languages such as Python or R is a plus
• Excellent communication skills with the ability to present complex information clearly
• Attention to detail with the ability to identify patterns and trends in data
• Ability to work independently as well as collaboratively in a team environment

Responsibilities

• Collecting, organizing and cleaning large datasets from various sources
• Developing data models and algorithms to extract insights from the data
• Creating reports and visualizations to communicate findings to stakeholders
• Collaborating with senior analysts to identify business needs and develop analytical solutions
• Continuously monitoring data quality and identifying areas for improvement
• Staying up-to-date with industry trends and best practices in data analysis

Skills

SQL

Excel

Python

R

Education

Bachelor's degree in Statistics, Mathematics or Computer Science

Tools

SQL

Excel

Job description

Junior Data Analyst

Profession: Data Analyst City: Lahore, Pakistan

We are seeking a talented and driven Junior Data Analyst to join our growing team in Lahore. As a Junior Data Analyst, you will be responsible for collecting, organizing and analyzing large sets of data to identify patterns and trends. You will work closely with senior analysts and stakeholders to understand business needs and provide insights that will inform decision-making.

Responsibilities

• - Collecting, organizing and cleaning large datasets from various sources
• - Developing data models and algorithms to extract insights from the data
• - Creating reports and visualizations to communicate findings to stakeholders
• - Collaborating with senior analysts to identify business needs and develop analytical solutions
• - Continuously monitoring data quality and identifying areas for improvement
• - Staying up-to-date with industry trends and best practices in data analysis

Requirements

• - Bachelor's degree in a relevant field such as Statistics, Mathematics or Computer Science
• - Strong analytical skills with the ability to collect, organize and analyze large datasets
• - Proficiency in SQL, Excel, or other data analysis tools
• - Familiarity with programming languages such as Python or R is a plus
• - Excellent communication skills with the ability to present complex information in a clear and concise manner
• - Attention to detail with the ability to identify patterns and trends within data
• - Ability to work independently as well as collaboratively in a team environment

Salary: 1500$ per month (negotiable based on experience)

Location: Lahore, Pakistan (remote work options available)

We welcome applicants from all backgrounds including students without prior experience. This is an excellent opportunity for individuals looking to kick-start their career in data analysis. If you are passionate about working with data and have a keen eye for detail, we encourage you to apply for this role.

Note: This job description is intended to convey information essential to understanding this position's scope and general nature. It is not intended to be an exhaustive list of qualifications, skills, duties, responsibilities or working conditions associated with the position.