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Junior Data Analyst

Afrique Mobilités

California, Kentucky, United States · Part Time

अर्ज करणारे पहिले व्हा

अनुभव
कोणतेही
पगार
रिक्त जागा
1
पोस्ट केले
१ तास आधी
Work mode
कार्यालयात
शिक्षण
Data Analytics, Statistics, Business, Economics, Information Systems, or a related field
Eligibility
Applicants who are available for a part-time onsite role and are interested in developing foundational data analysis skills through practical business support work can apply. Candidates with a relevant educational background are preferred.
Resume
Required to apply

Where you'll work

नोकरीचे वर्णन

Role overview

This part-time onsite position is for an early-career data analyst who will help turn raw information into practical insights for business use. The work centers on collecting, checking, organizing, and interpreting data so teams can make better decisions, monitor performance, and support key initiatives.

You will work with information coming from different sources, prepare it for analysis, and assist senior analysts or other teams with structured review tasks. The role is a good fit for someone who wants hands-on exposure to real business data processes and wants to build a solid foundation in analysis.

What you'll do

  • Gather, clean, and arrange data from multiple inputs
  • Run simple analyses to spot trends, patterns, and basic insights
  • Check datasets for accuracy, completeness, and consistency
  • Keep data files and supporting documentation current
  • Help prepare reports, dashboards, and concise summaries
  • Respond to ad hoc data requests and routine analytical work
  • Work with analysts and other stakeholders to understand reporting needs
  • Record methods, assumptions, and source details used in analysis
  • Assist with tracking business performance and operational metrics
  • Follow established standards for data quality and governance

What the role expects

This position calls for careful attention to detail, clear thinking, and a genuine interest in learning. You should be comfortable handling structured data, following defined processes, and making sure outputs are accurate and delivered on time. Strong communication is important because you will help explain findings to both technical and non-technical audiences.

Qualifications and background

A background in Data Analytics, Statistics, Business, Economics, Information Systems, or a similar field is preferred. Candidates should have strong analytical and problem-solving ability, good spreadsheet skills, and a basic grasp of data analysis concepts and metrics. The role also requires the ability to juggle several tasks, meet deadlines, and produce clear written and verbal summaries.

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