Part-Time Data Analyst - Flexible Hours & Insights

Flyper

Gujrat

On-site

PKR 481,000 - 1,123,000

Part time

14 days+
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Job summary

Flyper in Gujrat, India is seeking a Part-Time Data Analyst to turn raw data into actionable insights. You will collect, organize, and analyze datasets, generate reports, and share findings with stakeholders to support decision-making.

The ideal candidate has strong analytical skills, proficiency in Microsoft Excel, and knowledge of SQL or Python. This role offers flexible hours and requires the ability to work independently with minimal supervision.

Qualifications

  • Bachelor's degree in Mathematics, Statistics, Computer Science or related field.
  • Proven experience as a Data Analyst or similar role.
  • Strong analytical skills with the ability to analyze complex data sets.
  • Proficiency in Microsoft Excel and other data analysis tools.
  • Knowledge of programming languages such as SQL or Python preferred.
  • Detail-oriented with excellent organizational skills.
  • Ability to work independently with minimal supervision.

Responsibilities

  • Collect, organize, and analyze large datasets.
  • Create reports based on your analysis.
  • Identify trends and patterns within the data.
  • Present findings to stakeholders.
  • Collaborate with team members to ensure data accuracy.
  • Continuously monitor data quality and implement improvements.

Skills

Analytical skills
Attention to detail
Independent work

Education

Bachelor's degree in Mathematics, Statistics, Computer Science or related field

Tools

Microsoft Excel
SQL
Python

Job description

Flyper in Gujrat, India is seeking a Part-Time Data Analyst to turn raw data into actionable insights. You will collect, organize, and analyze datasets, generate reports, and share findings with stakeholders to support decision-making.

The ideal candidate has strong analytical skills, proficiency in Microsoft Excel, and knowledge of SQL or Python. This role offers flexible hours and requires the ability to work independently with minimal supervision.

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