Data Analytics Intern

Ededge Groups

United StatesFresher7h agovia LinkedIn

This job at a glance

Who can apply
New grads and up to 1 year · Any graduate
Must know
Data analysisMachine learningExcelPythonStakeholder managementTableau
Work
On-site in United States · internship
Pay
Not stated by the employer.
Skill demand
Data analysis88%Excel62%Python50%Machine learning6%of 66 similar entry-level jobs posted in the US this week
Listed
Nov 3, 2026 · still open

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About the Role

This is a remote internship role for a Data Analytics Internship And Training Program. The role will involve day-to-day tasks related to data analytics, including data management, data analysis, data modeling, and developing analytical skills. The intern will have the opportunity to work on real-world data projects and gain practical experience in the field of data analytics. This is an unpaid internship.

Key Responsibilities

  • Work closely with our esteemed data science team to gather, refine, and analyze extensive datasets, refining skills in data preprocessing and visualization.
  • Apply machine learning and data mining methods to derive insights from large datasets, including identifying Excel interface structures.
  • Utilize Python programming for Exploratory Data Analysis (EDA) in practical business contexts, with a focus on risk analytics in banking and finance.
  • Develop scientific tests and optimize model performance using cutting-edge modeling technologies such as no-code databases and data mining.
  • Collaborate with a multidisciplinary team to construct machine learning pipelines for various applications in commerce, finance, and procurement.
  • Engage with internal stakeholders to explore and comprehend business data, develop hypotheses, and evaluate strategies using techniques like T-tests.
  • Address specific challenges and devise innovative solutions by leveraging modeling technologies such as bike share systems.
  • Acquire and apply advanced analytical techniques using tools like Tableau.
  • Create reports and presentations to effectively convey data analysis methodologies and findings.

Qualifications

  • Strong problem-solving and critical thinking abilities
  • Currently pursuing any degree showcasing a strong commitment to continuous learning and professional growth.
  • Excellent communication and teamwork skills
  • Ability to work independently and remotely

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