Part-Time Data Mining Specialist: Insights & Reports

Jing Hau

Khanpur

On-site

PKR 3,657,000 - 4,381,000

Part time

14 days+
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Job summary

Jing Hau in Khanpur is seeking a Part-Time Data Mining Specialist to turn large data sets into actionable insights. You will apply your analytical skills to collect, organize, and interpret data using Python, SQL, and other tools, delivering clear findings to the team.

This role offers a competitive monthly salary of 1300 USD, with visa sponsorship possible for qualified candidates. The position emphasizes attention to detail and collaboration across the data team, while enabling flexible

Qualifications

  • Bachelor's degree in Computer Science, Mathematics, Statistics or a related field.
  • Proven experience in data mining or a similar role.
  • Proficiency in using specialized software and tools for data mining (e.g. Python, R).

Responsibilities

  • Utilize data mining techniques to collect, organize, and analyze large sets of data
  • Identify patterns and trends within the data to extract meaningful insights
  • Collaborate with team members to develop strategies for obtaining relevant data
  • Use specialized software and tools to perform data mining tasks efficiently
  • Prepare reports and presentations on findings and recommendations based on analysis
  • Continuously monitor and improve the quality of data used in analysis

Skills

Data mining
Analytical skills
SQL
Python
R
Communication

Education

Bachelor's degree in Computer Science or related field

Tools

Python
R
SQL

Job description

Jing Hau in Khanpur is seeking a Part-Time Data Mining Specialist to turn large data sets into actionable insights. You will apply your analytical skills to collect, organize, and interpret data using Python, SQL, and other tools, delivering clear findings to the team.

This role offers a competitive monthly salary of 1300 USD, with visa sponsorship possible for qualified candidates. The position emphasizes attention to detail and collaboration across the data team, while enabling flexible

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