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🔥 Viewed by 53 students today✓ Verified Listing

Data Analyst I

HoneywellCompetition: Moderate • Entry Level
|Gurugram, Haryana, India (On-site)|By CampusToCareer Editorial Team|Posted today|Last verified today
✓ Company career page verified✓ Application route verifiedLast checked on Jul 16, 2026
💼 Experience Required
0-1 Years
🕒 Employment Type
Full-time
🎓 Target Batch
2025, 2026
🚀 Role Category
Data Analyst
📌 How to Apply
Click on the Apply button
💰 Salary
4 - 17.3 LPA
Skills Recommended
ExcelSQLTableauPower BIdata visualizationdata cleaningdata preprocessing
Career Guide • 10 min read

Complete preparation guide for Data Analyst I at Honeywell

As a Data Analyst I at Honeywell, you will play a crucial role in collecting, analyzing, and interpreting data to drive business decisions. This entry-level position offers the opportunity to grow your skills and contribute to meaningful projects within a dynamic and innovative environment. Your primary responsibilities will include collecting and analyzing data, developing reports and visualizations, collaborating with cross-functional teams, and conducting data quality checks.

✓ AI Assisted • Fact CheckedCampusToCareer Editorial TeamUpdated 15 Jul 2026

About Honeywell

Honeywell is a multinational conglomerate that provides innovative solutions in automation, aviation, and energy transition. With a diverse range of business segments, including Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation, Honeywell is a trusted partner for organizations seeking to solve complex challenges. The company's commitment to innovation and sustainability is powered by its Honeywell Forge software, which enables the creation of smarter, safer, and more sustainable solutions.

Required Skills Explained

Excel

Why required: Excel is a fundamental tool for data analysis, and proficiency in it is essential for creating reports, visualizations, and performing data analysis tasks.

How recruiters evaluate: The recruiter will evaluate your ability to use Excel for data analysis, including creating pivot tables, charts, and formulas.

  • Microsoft Excel Training Center
  • Excel Is Fun
  • Excel Easy

SQL

Why required: SQL is a critical skill for data analysis, as it enables you to extract, manipulate, and analyze data from databases.

How recruiters evaluate: The recruiter will assess your ability to write SQL queries, including selecting, filtering, and aggregating data.

  • SQL Tutorial by W3Schools
  • SQLCourse
  • Tutorials Point

Tableau

Why required: Tableau is a data visualization tool that enables you to create interactive and dynamic dashboards, making it easier to communicate data insights.

How recruiters evaluate: The recruiter will evaluate your ability to create visualizations and dashboards using Tableau, including connecting to data sources and creating stories.

  • Tableau Training Center
  • Tableau Tutorials
  • DataCamp

Power BI

Why required: Power BI is a business analytics service that enables you to create interactive visualizations and business intelligence reports, making it easier to communicate data insights.

How recruiters evaluate: The recruiter will assess your ability to create reports and visualizations using Power BI, including connecting to data sources and creating dashboards.

  • Power BI Training Center
  • Power BI Tutorials
  • Microsoft Learn

Data Visualization

Why required: Data visualization is a critical skill for data analysis, as it enables you to communicate complex data insights in a clear and concise manner.

How recruiters evaluate: The recruiter will evaluate your ability to create effective visualizations, including choosing the right chart types and designing dashboards.

  • Data Visualization by Tableau
  • Data Visualization by Power BI
  • FlowingData

Data Cleaning

Why required: Data cleaning is a critical step in data analysis, as it enables you to ensure the quality and accuracy of the data.

How recruiters evaluate: The recruiter will assess your ability to clean and preprocess data, including handling missing values and data normalization.

  • Data Cleaning by DataCamp
  • Data Cleaning by Coursera
  • Kaggle

Data Preprocessing

Why required: Data preprocessing is a critical step in data analysis, as it enables you to transform and prepare the data for analysis.

How recruiters evaluate: The recruiter will evaluate your ability to preprocess data, including data transformation and feature engineering.

  • Data Preprocessing by DataCamp
  • Data Preprocessing by Coursera
  • Kaggle

Who Should Apply

freshers

Freshers with a degree in Data Science, Statistics, Computer Science, or a related field can apply for this role.

experienced

Experienced professionals with 0-1 years of experience in data analysis or a related field can also apply.

graduates

Graduates with a degree in Data Science, Statistics, Computer Science, or a related field can apply.

btech

B.Tech graduates with a degree in Computer Science, Information Technology, or a related field can apply.

mca

MCA graduates with a degree in Computer Applications or a related field can apply.

diploma

Diploma holders with a degree in Data Science, Statistics, Computer Science, or a related field can also apply.

Typical Hiring Process

  1. Round 1: The first round will be a written test to evaluate your technical skills in data analysis, including Excel, SQL, and data visualization.
  2. Round 2: The second round will be a technical interview to assess your problem-solving skills and ability to analyze data.
  3. Round 3: The third round will be a behavioral interview to evaluate your communication skills and ability to work in a team.

Resume Tips for This Role

  • Highlight your technical skills in data analysis, including Excel, SQL, and data visualization.
  • Include any relevant projects or certifications in data analysis.
  • Emphasize your ability to work in a team and communicate complex data insights effectively.

Interview Preparation Tips

  • Be prepared to answer technical questions in data analysis, including Excel, SQL, and data visualization.
  • Practice solving data analysis problems and be prepared to explain your thought process.
  • Show enthusiasm for data analysis and a willingness to learn and grow in the role.

Possible Interview Questions (5)

  1. What is your experience with data analysis tools like Excel and SQL?
  2. How do you approach data visualization, and what tools do you use?
  3. Can you walk me through a project you worked on that involved data analysis?
  4. How do you ensure data quality and integrity in your analysis?
  5. Can you explain a complex data concept to a non-technical person?

Salary Insights (India)

Industry range

The average salary for a Data Analyst in India is around 6-8 LPA.

Freshers

Freshers can expect a salary range of 4-6 LPA.

Experienced

Experienced professionals can expect a salary range of 8-12 LPA.

The salary for a Data Analyst can grow up to 15-20 LPA with experience and skills in advanced data analysis tools and technologies.

Career Path Roadmap

1
Senior Data Analyst↓

With 2-3 years of experience, you can move into a senior data analyst role, where you will lead data analysis projects and mentor junior analysts.

2
Data Scientist

With 4-5 years of experience, you can move into a data scientist role, where you will work on advanced data analysis projects and develop predictive models.

Why This Opportunity Is Worth Considering

  • This role offers the opportunity to work with a leading multinational company and gain experience in data analysis.
  • You will have the chance to work on meaningful projects and contribute to the growth of the organization.
  • The company offers a dynamic and innovative work environment, with opportunities for growth and development.

Things To Know Before Applying

  • The company is a multinational conglomerate with a diverse range of business segments.
  • The role is based in Gurugram, Haryana, and requires on-site work.
  • The company offers a competitive salary and benefits package.

Recommended Courses

Data Analysis with Python
DataCamp

This course will help you develop your skills in data analysis using Python, including data visualization and machine learning.

Data Science with R
Coursera

This course will help you develop your skills in data science using R, including data visualization and predictive modeling.

Career Advice

To succeed in this role, focus on developing your technical skills in data analysis, including Excel, SQL, and data visualization. Also, work on improving your communication skills and ability to work in a team.

Editorial Note: This role is a great opportunity for freshers and experienced professionals to gain experience in data analysis and work with a leading multinational company.
Written by CampusToCareer Editorial Team • AI Assisted • Fact Checked

Frequently Asked Questions

The salary range for this role is 4-17.3 LPA.
The key responsibilities of this role include collecting and analyzing data, developing reports and visualizations, collaborating with cross-functional teams, and conducting data quality checks.
The required skills for this role include Excel, SQL, Tableau, Power BI, data visualization, data cleaning, and data preprocessing.

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Reference Only

Original Job Description

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Job Description

Data Analyst I

Gurugram, Haryana, India

(On-site)

Trending

Job Description

As a Data Analyst I here at Honeywell, you will play a vital role in collecting, analyzing, and interpreting data to help drive business decisions. Your work will involve using various data analysis tools and techniques to identify trends, patterns, and insights that can be used to improve our operations and strategies. This entry-level position offers you the opportunity to grow your skills and contribute to meaningful projects within a dynamic and innovative environment.

In this role, you will impact the organization by providing accurate and timely data analysis that supports decision-making processes. Your ability to transform raw data into actionable insights will help drive efficiency, optimize processes, and contribute to the overall success of the business.

Responsibilities

Key Responsibilities

Collecting and analyzing data from various sources

Developing reports and visualizations to communicate data findings

Collaborating with cross-functional teams to provide data-driven solutions

Conducting data quality checks and ensuring data integrity

Identifying opportunities for process improvement based on data analysis

Qualifications

YOU MUST HAVE

0+ years of experience in data analysis or a related field.

Proficiency in data analysis tools such as Excel, SQL, or similar.

WE VALUE

Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.

Experience with data visualization tools like Tableau or Power BI.

Strong analytical and problem-solving skills.

Knowledge of data cleaning and preprocessing techniques.

Ability to work independently and as part of a team.

A passion for continuous learning and a proactive approach to adopting new technologies and methodologies.

About Us

Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable.

Apply Now

Job Info

Job Identification 148211

Job Category Data & Analytics

Job Schedule Full time

Locations

One-HON-UTC-2+4F ,UTC, 2F 4F, Sushant Lok Phase I,, Gurgaon, HR, 122022, IN

(On-site)