Live opening · Posted 11 hours ago

Fresher Dat Analys (Entry / Junior Level)

KN:IX connect · United States (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 11 hours ago
CompanyKN:IX connect
LocationUnited States (Remote)
Work modeYes
SkillsPython
SourceLinkedin
ListedPosted 11 hours ago

About the role

Description supplied by the original job listing.

Role Description This part-time remote Fresher Data Analyst (Entry / Junior Level) role at KN:IX connect focuses on supporting data-driven decision-making across the organization. The Data Analyst will assist in collecting, cleaning, and organizing data from various sources, ensuring accuracy and consistency. Day-to-day tasks include preparing basic reports and dashboards, performing simple data analyses, and documenting findings for internal stakeholders. The role also involves collaborating with team members to understand business requirements, learning standard analytics tools and methodologies, and maintaining data confidentiality and compliance. This position is designed for individuals starting their career in data analytics who are eager to grow their skills in a supportive, flexible environment.
Qualifications
Foundational data handling and analysis abilities, including basic data cleaning, data organization, and interpretation of simple data sets.
Comfort with spreadsheets and entry-level analytics tools (e.g., Excel, Google Sheets; familiarity with SQL, Python, or R is a plus).
Ability to create clear, structured reports and visual summaries of data using charts, tables, or dashboards.
Strong attention to detail, accuracy, and consistency when working with quantitative and qualitative information.
Effective written and verbal communication skills for explaining findings to non-technical stakeholders.
Willingness to learn new tools, follow documented processes, and accept constructive feedback.
Ability to work independently in a remote setting, manage time effectively, and meet agreed deadlines.
Relevant coursework or a degree in fields such as Data Science, Statistics, Mathematics, Computer Science, Business, or a related discipline is beneficial but not mandatory.
Interest in building a career in data analytics and contributing to a collaborative, inclusive work environment.

Work arrangement
Yes

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