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EngineeringNew💼 FullTime

Data Analyst at Research Engine

Company
21 hours ago
Location

Work from Home

Salary

₹12,000 - ₹18,000 per month

Apply By

ASAP

Views

6

Eligible Batches

🎓 2025 Batch🎓 2026 Batch

Job Description

Join Research Engine as Data Analyst and leverage your analytical skills to drive business decisions.

Roles & Responsibilities

Collect and analyze data to identify trends and patterns Develop and maintain databases to ensure data accuracy and integrity Create reports and visualizations to communicate insights to stakeholders

Requirements

Proficient in Microsoft Excel and Google Workspace Strong analytical and problem-solving skills Excellent communication and stakeholder management skills

Eligibility Criteria

Bachelor's Degree in Computer Science or related field from 2025/2026 Batch

Tech Stack & Ecosystem

Microsoft ExcelGoogle WorkspaceData Analysis

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Quick Actions

Quick Info

TypeFullTime
RoleData Analyst
Work Mode🏢 On-site
Eligible Batches
20252026

Tech Stack

Microsoft ExcelGoogle WorkspaceData Analysis

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Career Advice

Company Insights

Research Engine is at the forefront of data-driven innovation, where talented professionals like you can transform raw data into actionable insights that drive business growth. As a Data Analyst, you'll have the opportunity to work with a diverse range of tools and technologies, from data visualization platforms like Tableau to cutting-edge AI and machine learning algorithms. Our collaborative work environment encourages creativity, experimentation, and innovation, allowing you to take ownership of projects and make a tangible impact on our business outcomes. By joining Research Engine, you'll be part of a vibrant community of data enthusiasts who are passionate about harnessing the power of data to create a better future.

Interview Guide

To ace the interview for Data Analyst at Research Engine, focus on showcasing your data storytelling skills. Prepare to walk through a sample dataset, highlighting key trends, patterns, and insights. Practice explaining complex data concepts in simple terms, emphasizing the business impact and recommendations. Additionally, be ready to discuss your experience with data visualization tools like Power BI or Tableau, and how you've used them to communicate findings to a non-technical audience. Also, be prepared to handle behavioral questions that demonstrate your analytical skills, such as times when you've identified a data-driven opportunity or overcame a data quality issue. Most importantly, be ready to talk about your passion for data and how you see yourself contributing to the Research Engine's success in this role.