Data Analyst Intern

Stealth

United States

Remote

AUD 30,000 - 40,000

Part time

14 days+

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Benefits offered by this job

Hands-on experience with live data
Opportunity to convert to full-time
Competitive stipend

Job summary

Stealth is offering an exciting Data Analytics Internship (Remote) for individuals with a curious mindset. As an intern, you'll work closely with the founding teams to collect, analyze, and present data insights that drive decision-making in a dynamic environment.

This role suits those currently studying or recently graduated in Data Analytics or related fields, with proficiency in SQL and Excel, and a passion for data-driven analysis. The internship lasts 3 to 6 months, with potential for full-time conversion based on performance.

Qualifications

  • Currently pursuing or recently completed a relevant degree.
  • Strong knowledge of Excel or Google Sheets.
  • Basic proficiency in SQL.
  • Familiarity with Python libraries like Pandas or NumPy.
  • Understanding of data visualization tools.

Responsibilities

  • Collect, clean, and analyze structured and unstructured data.
  • Perform exploratory data analysis to identify trends.
  • Build and maintain dashboards and reports for insights.
  • Write efficient SQL queries to manipulate data.
  • Assist in defining KPIs and metrics for performance.
  • Collaborate with various teams to present insights.

Skills

Data Analysis & Interpretation
SQL & Data Querying
Dashboarding & Visualization
Critical Thinking
Communication & Storytelling with Data

Education

Degree in Data Analytics, Statistics, Mathematics, Computer Science

Tools

Excel/Google Sheets
SQL
Python (Pandas, NumPy)
Data visualization tools (Tableau, Power BI)

Job description

Job Title: Data Analytics Intern (Remote)

Company: Stealth (Confidential)

About the Role

We are hiring on behalf of a fast-growing Stealth Startup looking for a curious and detail-oriented Data Analytics Intern. This is an exciting opportunity to work closely with founding teams and gain hands‑on experience in extracting insights, building dashboards, and driving data‑backed decision‑making in a high-impact environment.

Key Responsibilities
  • Collect, clean, and analyze structured and unstructured data
  • Perform exploratory data analysis (EDA) to identify trends and patterns
  • Build and maintain dashboards and reports for business insights
  • Write efficient SQL queries to extract and manipulate data
  • Assist in defining KPIs and metrics for business performance
  • Collaborate with product, marketing, and business teams
  • Present insights in a clear and actionable manner
Required Qualifications
  • Currently pursuing or recently completed a degree in Data Analytics, Statistics, Mathematics, Computer Science, or related field
  • Strong knowledge of Excel/Google Sheets
  • Basic proficiency in SQL
  • Familiarity with Python (Pandas, NumPy) or similar tools
  • Understanding of data visualization tools (Tableau, Power BI, etc.)
    Preferred Qualifications
    • Experience with real‑world datasets or analytics projects
    • Knowledge of business metrics and performance tracking
    • Exposure to A/B testing or statistical analysis
    • Familiarity with startup or fast‑paced environments
    Key Skills
    • Data Analysis & Interpretation
    • SQL & Data Querying
    • Dashboarding & Visualization
    • Critical Thinking
    • Communication & Storytelling with Data
    What We’re Looking For
    • A data‑driven thinker who can translate numbers into meaningful insights
    • Someone who thrives in a fast‑paced, ambiguous startup environment
    • High ownership and willingness to learn quickly
    • Strong attention to detail
    Location
    • Remote
    Duration
    • Internship (3–6 months, with potential extension or full‑time opportunity)
    Compensation
    • Competitive stipend (based on experience and client budget)
    Why Join?
    • Work directly with a stealth‑mode startup solving real‑world problems
    • Gain hands‑on experience with live data and business decision‑making
    • Opportunity to convert into a full‑time role based on performance
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