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Work Mode

Remote

Job Type

Internship

Job Description

Data Analyst Intern

Location:

Duration:

Stipend for Top Performers:

Perks:

About INLIGHNX GLOBAL

Data Analyst Internship

🚀

Internship Overview

data collection, cleaning, transformation, visualization, and reporting

🔧

Key Responsibilities

  • Collect, clean, structure, and preprocess datasets for analysis
  • Perform

    Exploratory Data Analysis (EDA)

    to identify patterns and trends
  • Build

    interactive dashboards

    using tools like

    Power BI, Tableau, or Google Looker Studio

  • Write and optimize

    SQL queries

    for data extraction and manipulation
  • Conduct

    statistical analysis

    and hypothesis testing for insight validation
  • Automate workflows using

    Python (Pandas, NumPy, Matplotlib, Seaborn)

    or Excel
  • Assist in developing data-driven reports and performance metrics
  • Present findings to mentors and collaborators in clear and concise formats

Qualifications

  • Pursuing or recently completed a degree in

    Data Science, Statistics, CS, Economics, Mathematics, or related fields

  • Strong understanding of

    Excel and SQL

  • Familiarity with

    Python

    for data analysis (Pandas, NumPy, etc.)
  • Knowledge of

    data visualization

    tools (Power BI, Tableau, Looker Studio)
  • Basic understanding of

    statistics and probability

  • Good communication skills and ability to explain insights clearly
  • Curiosity and enthusiasm to explore real-world datasets
🎓

What You’ll Gain

  • Hands-on experience with

    real industry datasets and business analytics use cases

  • Confidence in using

    modern data tools and analytical workflows

  • A portfolio of

    dashboards, reports, and visualizations

    to showcase your skills
  • Guidance from experienced mentors in analytics and BI
  • Certificate & Letter of Recommendation upon successful completion
  • Strong foundation for roles in

    Data Analytics, Business Intelligence, Data Science

    , and related domains
  • Opportunity for

    full-time placement

    based on performance

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