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Data Entry Analyst

Microsoft Daily Hack

Remote · Part Time

가장 먼저 지원하세요

경험
어느
샐러리
채용 공고
1
게시됨
4시간 전
Work mode
재택근무
교육
Relevant coursework or a degree in data science, statistics, information systems, computer science, or a related field preferred
Eligibility
Candidates who can work part-time in a remote setup from the United States and meet the listed analytical, spreadsheet, and communication requirements.
Resume
Required to apply

직무 설명

Role overview

This part-time remote position is for a Data Entry Analyst with Microsoft Daily Hack in the United States. The role focuses on collecting, entering, maintaining, and organizing both structured and unstructured information tied to experiments, productivity workflows, and user behavior.

What you will do

You will handle data validation, cleanup, formatting, and storage so that datasets remain accurate and ready for review. The position also includes assisting with simple analysis work, creating straightforward reports or dashboards, and keeping clear records of data processes so the work can be repeated and understood by others. You will work alongside content creators, developers, and analysts to keep information dependable and usable for decisions and experimentation.

Qualifications

  • Ability to spot patterns, trends, and outliers in data.
  • Some exposure to data analytics and statistics through coursework or practical experience.
  • Knowledge of basic data modeling concepts and how to arrange information into efficient structures.
  • Strong written and spoken communication for explaining findings and documenting procedures for both technical and non-technical teammates.
  • Comfort using spreadsheets such as Excel or Google Sheets, along with solid data entry practices.
  • Careful, accurate, and consistent approach to entering, cleaning, and checking data.
  • Ability to work on your own in a remote setup, manage time well, and deliver work on schedule.
  • Preferred exposure to simple data tools such as Power BI or Tableau, plus an interest in Microsoft tools and productivity workflows.
  • Preferred background in data science, statistics, information systems, computer science, or a related area, or equivalent hands-on experience.

Additional information

This is a remote, part-time role based in the United States.

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