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Acrotinel

Data Analyst Intern

Acrotinel · India

  • Hybrid
  • Full-time
  • ₹200,000 / year
  • India

Job highlights

  • Analyze data to generate actionable insights.
  • Design and maintain performance dashboards.
  • Identify trends, patterns, and anomalies.
  • Support decisions with data-backed recommendations.
  • Automate data tasks and reporting processes.

About the role

Data Analyst Intern

Acrotinel is seeking a proactive Data Analyst Intern to go beyond basic reporting and contribute to data-driven decision-making. This role focuses on deriving insights, improving data processes, and supporting teams with meaningful analytics.

Key Responsibilities

  • Analyze business and operational data to generate actionable insights
  • Design and maintain dashboards for tracking performance metrics
  • Work on identifying trends, patterns, and anomalies in datasets
  • Support decision-making by providing data-backed recommendations
  • Automate repetitive data tasks and reporting processes
  • Collaborate with teams to understand data needs and deliver solutions
  • Conduct deep-dive analysis for specific business problems
  • Improve data collection methods and reporting efficiency
  • Present insights in a clear and structured manner to stakeholders

Required Skills

  • Basic understanding of data analytics and business intelligence
  • Strong skills in Excel / Google Sheets (advanced formulas, data analysis)
  • Familiarity with Power BI, Tableau, or similar tools
  • Basic knowledge of SQL for querying datasets
  • Ability to analyze data and derive meaningful insights
  • Problem-solving mindset with strong analytical thinking
  • Good communication and presentation skills
  • Attention to detail and structured approach

Eligibility Criteria

  • Students or recent graduates from Data Analytics, IT, Statistics, or related fields
  • Freshers with strong analytical skills are encouraged to apply
  • Candidates with projects, internships, or certifications preferred
  • Interest in working on real-world data problems
  • Must be available for a full-time remote internship

Perks and Benefits

  • Monthly stipend of ₹16,000
  • Hands-on experience with real business data
  • Internship completion certificate
  • Opportunity to work on impactful analytics tasks
  • Exposure to modern data tools and workflows
  • Mentorship and growth-focused environment
  • Potential full-time opportunity based on performance

Why Join Acrotinel?

This internship is ideal for individuals who want to strengthen their analytical thinking, work on real data challenges, and contribute to business decisions through insights.

Key skills/competency

  • Data Analysis
  • Business Intelligence
  • Excel
  • Google Sheets
  • Power BI
  • Tableau
  • SQL
  • Data Visualization
  • Problem-Solving
  • Analytical Thinking

Skills & topics

  • Data Analyst
  • Internship
  • Data Analysis
  • Business Intelligence
  • Excel
  • Google Sheets
  • Power BI
  • Tableau
  • SQL
  • Remote

How to get hired

  • Tailor your resume: Highlight relevant projects, coursework, and any data analytics internships or certifications using keywords from the job description.
  • Showcase your skills: Include specific examples of your proficiency in Excel, Google Sheets, and any BI tools (Power BI, Tableau) or SQL experience.
  • Demonstrate analytical thinking: Prepare to discuss how you've approached data analysis problems and derived insights in past projects or academic work.
  • Prepare for interviews: Be ready to answer behavioral questions about problem-solving and collaboration, and potentially a technical assessment on data analysis concepts.

Technical preparation

Master Excel/Google Sheets advanced functions.,Practice SQL queries for data extraction.,Build sample dashboards in Power BI/Tableau.,Work on a personal data analysis project.

Behavioral questions

Describe a complex data problem you solved.,How do you handle data inconsistencies?,How do you present data findings to others?,How do you manage multiple data requests?

Frequently asked questions

What are the key responsibilities for a Data Analyst Intern at Acrotinel?
As a Data Analyst Intern at Acrotinel, you will analyze business data to generate insights, create and maintain performance dashboards, identify trends and anomalies, and automate reporting processes. You'll also support decision-making with data-backed recommendations and collaborate with teams to understand and meet their data needs.
What skills are essential for the Data Analyst Intern role at Acrotinel?
Essential skills include a basic understanding of data analytics and business intelligence, strong proficiency in Excel/Google Sheets, familiarity with BI tools like Power BI or Tableau, and basic SQL knowledge for data querying. Strong analytical thinking, problem-solving abilities, and good communication skills are also crucial.
What is the duration and type of internship offered by Acrotinel?
Acrotinel offers a full-time internship that can last between 1 to 3 months. It is a remote position, allowing you to work from anywhere.
What is the stipend provided for the Data Analyst Intern role?
The Data Analyst Intern role at Acrotinel comes with a monthly stipend of ₹16,000. This compensation is provided throughout the internship period.
What is the eligibility criteria for the Data Analyst Intern position?
Eligibility is open to students or recent graduates in Data Analytics, IT, Statistics, or related fields. Freshers with strong analytical skills, and candidates with relevant projects, internships, or certifications are encouraged to apply. You must also be available for a full-time remote internship.
Does Acrotinel offer opportunities for full-time employment after the internship?
Yes, Acrotinel offers a potential full-time opportunity based on performance during the internship. This provides a clear career progression path for successful interns.
What kind of real-world experience can a Data Analyst Intern gain at Acrotinel?
Interns gain hands-on experience working with real business data, contribute to impactful analytics tasks, and get exposure to modern data tools and workflows. This practical experience is invaluable for career development.