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EngineeringNew🎯 Internship

Data Analyst Internship at FlatUIUX

Company
21 hours ago
Location

Work from Home

Salary

₹ 12K - ₹ 18K per month stipend

Apply By

ASAP

Views

8

Eligible Batches

🎓 2026 Batch

Job Description

Join FlatUIUX's esteemed Data Analyst team and accelerate your career through hands-on experience with leading technologies.

Roles & Responsibilities

Analyze complex data to drive business decisions and identify areas of improvement. Develop and maintain reports to communicate key insights to stakeholders. Collaborate with cross-functional teams to provide data-driven solutions.

Requirements

Strong analytical and problem-solving skills. Experience with data analytics tools such as Tableau or Power BI. Excellent communication and presentation skills.

Eligibility Criteria

B.Tech/B.E. 2026 or equivalent degree.

Tech Stack & Ecosystem

Data AnalyticsTableauPower BI

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Quick Info

TypeInternship
RoleData Analyst
Work Mode🏢 On-site
Eligible Batches
2026

Tech Stack

Data AnalyticsTableauPower BI

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Career Advice

Company Insights

Joining FlatUIUX as a Data Analyst Intern will be an enriching experience, as the company fosters a culture of innovation and collaboration. FlatUIUX's commitment to innovation enables employees to work on cutting-edge projects, expanding their skill sets and contributing significantly to business growth. With a focus on employee development and growth, FlatUIUX ensures a holistic growth experience for Data Analysts, empowering them to become industry leaders.

Interview Guide

To ace the Data Analyst Internship interview at FlatUIUX, it is crucial to demonstrate a thorough understanding of key concepts in data analytics. Familiarize yourself with industry-standard tools and technologies, including data visualization platforms like Tableau and Power BI. Prepare examples of data analysis challenges you've overcome in the past and highlight your problem-solving skills. Additionally, be prepared to answer behavioral questions that showcase your ability to work collaboratively with cross-functional teams and provide data-driven solutions.