Data-analytics vacancy in Khanpur Pakistan

900 $
2026-05-17
Agency PeakFleet
PeakFleet

Agency

on layboard since 08.08.2025

2
Contact person: John Nasir
Phone number: -
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Contact person: John Nasir
Phone number: -
Data Analytics Specialist

We are in search of a highly skilled Data Analytics Specialist to join our team in Khanpur. As a Data Analytics Specialist, you will be responsible for analyzing large data sets to identify patterns and trends, and providing valuable insights to support business decisions.

Key Responsibilities:
- Conduct in-depth data analysis using various tools and techniques
- Develop statistical models to predict future trends and behaviors
- Collaborate with cross-functional teams to gather data requirements and provide actionable insights
- Identify areas for improvement and recommend solutions based on data analysis
- Create visualizations and dashboards to present findings in a clear and concise manner
- Monitor data quality and integrity, ensuring accuracy of all reports
- Stay updated on industry trends and advancements in analytics technology

Requirements:
- Bachelor's degree in Mathematics, Statistics, Computer Science or related field
- Proven experience in data analytics, preferably in a business setting
- Proficient in SQL, Python or R programming languages
- Familiarity with data visualization tools such as Tableau or Power BI
- Strong analytical skills with the ability to interpret complex data sets
- Excellent communication skills with the ability to present findings to non-technical stakeholders
- Attention to detail and strong problem-solving abilities

Salary:
We offer a competitive salary of $900 per month, along with free visa and ticket for international candidates.

Location:
The position is based in Khanpur, but we welcome applicants from all nationalities.

Join our team and make a significant impact on our business through your expertise in data analytics!
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views: 297

valid through: 2026-06-17

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PeakFleet

Agency

on layboard since 08.08.2025

2
Contact employer
Send CV
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