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Junior Data Analyst (Entry/Junior Level)

Owner

Remote · Part Time

Bewerben Sie sich als Erste/r!

Erfahrung
Beliebig
Gehalt
Stellenangebote
1
Veröffentlicht
vor 1 Stunde
Work mode
Arbeiten von zu Hause
Ausbildung
Any graduate
Eligibility
Open to entry-level candidates with equivalent skills and experience; a background in a quantitative, business, or related field is preferred but not required.
Resume
Required to apply

Stellenbeschreibung

Role overview

This part-time, remote Junior Data Analyst position is centered on helping teams make better decisions using data. The role supports the organization by keeping data accurate, organized, and ready for analysis.

What you will do

  • Gather data from different sources, then clean, structure, and maintain it for reliable use.
  • Perform straightforward analyses and turn results into concise summaries.
  • Build basic dashboards or charts with supervision from senior colleagues.
  • Record data definitions, workflows, and related processes so information stays consistent.
  • Handle one-off data requests and provide quick support to internal teams.
  • Work with people across departments to clarify business questions and reporting needs.
  • Keep developing your data skills and contribute ideas that improve data handling over time.

Qualifications and fit

Applicants should have a solid grasp of analytical thinking and data analytics, along with an understanding of statistics and data modeling for simple descriptive or predictive work. Good communication skills are needed to explain findings to both technical and non-technical audiences. Candidates should also be comfortable using spreadsheets and at least one reporting or visualization platform such as Excel, Google Sheets, Tableau, Power BI, or a similar tool. Basic exposure to SQL, Python, or R is helpful, though not mandatory for entry-level candidates. Strong attention to detail, good organization, and the ability to manage multiple tasks in a remote setting are important. A genuine interest in learning and growing in data analytics is valued. Coursework or a degree in a quantitative, business, or related discipline is a plus, but equivalent skills and experience are also acceptable.

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