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O

Junior Data Analyst (Entry / Junior Level)

Owner

Remote · Part Time

अप्लाय करने वाले प्रथम बनिए

अनुभव
कोई
वेतन
उद्घाटन
1
की तैनाती
4 पहले
कार्य मोड
घर से काम करें
शिक्षा
Any graduate
Eligibility
Open to candidates who can work part-time remotely and have a background, coursework, or practical experience in data-related or quantitative work. Entry-level applicants are welcome.
Resume
Required to apply

नौकरी का विवरण

Role overview

This is a part-time remote opportunity for an entry-level Junior Data Analyst. The position supports business decisions by helping teams work with data more effectively and turning raw information into useful insights.

What you will do

  • Gather data from different sources, then clean, structure, and prepare it so it is accurate and consistent.
  • Create simple reports and dashboards to help track performance and key metrics.
  • Carry out exploratory analysis to spot trends, patterns, and meaningful observations.
  • Summarize findings in a clear way so they can be used by other teams.
  • Work with senior analysts and cross-functional stakeholders to understand what data is needed and confirm that outputs are correct.
  • Keep documentation updated for data processes, reporting steps, and analysis methods.
  • Support ongoing improvements to analytics processes and workflows.

Qualifications

  • You should have strong analytical ability and a solid foundation in data analysis so you can interpret datasets and recognize patterns.
  • A basic grasp of statistics and data modeling is needed to help with hypothesis testing and simple predictive insights.
  • You must be able to communicate clearly in writing and speaking when sharing findings with both technical and non-technical people.
  • Comfort with spreadsheets such as Excel or Google Sheets is important; early exposure to SQL, Python, or R is preferred.
  • You need to be able to work on your own in a remote setting, manage your time well, and handle several tasks carefully.
  • A willingness to learn new tools and methods, along with openness to feedback and mentorship, is expected.
  • Coursework or a degree in a quantitative area such as Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field is an advantage, though equivalent practical experience may also be accepted.

Additional information

This role is part-time and remote. No specific stipend, salary, number of openings, start date, or application deadline was provided.

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