IndiGo Data Analyst: Eligibility, Skills & Apply | Data Analyst Fresher Job

About the Job

If you are passionate about data analytics, machine learning (ML), and artificial intelligence (AI), IndiGo offers a career opportunity for a Data Analyst in Gurgaon. The role will see you leveraging data and AI/ML solutions for developing predictive solutions to drive business decisions.

As a Data Analyst, you will be involved in working with data and developing ML/AI models, deploying these models in production while communicating your discoveries and recommendations to relevant stakeholders.

Eligible candidates will be those with a Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or related disciplines.

About this role

As a Data Analyst, you will be developing and deploying AI/ML solutions with the potential for creating disruptive business impact through the power of predictive analytics, automation, and decision intelligence.

This role will see you engaging in discovery and development of solutions based on an organisation’s business needs, carrying out data discovery and feature engineering, and developing and deploying ML models that go to production.

Your responsibilities will also include working with data engineering, product, and business teams while communicating your discoveries and recommendations to stakeholders.

The role is based in Gurgaon.

Job Overview

CompanyIndiGo / InterGlobe
RoleData Analyst
ExperienceRelevant experience in Data Science, Machine Learning, or Advanced Analytics
Job typeNot specified
Eligible degreesBachelor’s or Master’s in Computer Science, Statistics, Mathematics, Engineering, or related field
PassoutNot specified
SalaryNot disclosed
IndiGo Data Analyst job opportunity for data science and machine learning professionals

Eligibility Criteria

To apply for this position, you will need:

  • A Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or related discipline
  • Relevant experience in Data Science, Machine Learning, or Advanced Analytics
  • Knowledge of data analysis and machine learning concepts
  • Ability to understand business problems and translate them into data science solutions

The number of years of experience required was not specified.

Key Responsibilities

Your responsibilities, if shortlisted, will include:

  • Translating business problems into data science solutions
  • Carrying out data discovery and feature engineering
  • Developing ML and AI models
  • Deploying ML models in production
  • Monitoring production models and improving performance
  • Communicating your discoveries and recommendations to stakeholders
  • Working with data engineering, product, and business teams

Skills Required

This role will require a combination of programming, data science, machine learning, and deployment skills. The skills needed for this position include:

  • Python
  • SQL
  • Machine Learning
  • Statistics
  • Data Analysis
  • Data Visualisation
  • Deep Learning
  • Generative AI / GenAI
  • Databricks
  • Snowflake
  • Azure / AWS
  • MLOps
  • Model Deployment

Deep Learning, GenAI, Databricks, Snowflake, cloud, MLOps, and model deployment are skills that will be an added advantage.

Skills to Add in Your Resume

If you are considering applying for this position, ensure that your resume has skills relevant to the role. You can demonstrate your academic, professional, or personal projects that involved any aspect of data analysis, machine learning, or AI.

TECHNICAL SKILLS
ProgrammingPython, SQL
Data ScienceData Analysis, Statistics, Feature Engineering
Machine LearningMachine Learning, Predictive Analytics, ML Models
AI/MLDeep Learning, Generative AI
Cloud & Data PlatformsDatabricks, Snowflake, Azure, AWS
MLOpsMLOps, Model Deployment, Model Monitoring
VisualisationData Visualisation
Note: Avoid listing every technology mentioned in a job description. Instead, highlight the relevant tools and techniques that you know and back them up with projects if possible.

Benefits

The benefits package for this position were not specified.

However, you stand to gain from the opportunity to work with cutting-edge technologies such as predictive analytics, machine learning, and AI to influence business decisions. You will also learn how to deploy ML models in production while working with data engineering, product, and business teams.

Who Can Apply?

  • You have a Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or related disciplines
  • You have a Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or related fields
  • You have relevant work experience in the areas of Data Science, Machine Learning, or Advanced Analytics
  • You have knowledge of Python and SQL
  • You have experience with data analysis and machine learning
  • You have applied your skills to work with AI/ML models or predictive analytics
  • You have worked in cloud, data platforms, or MLOps areas, or have skills in the technologies mentioned in this post.

The number of years of experience and the year of passing out were not specified in this job description.

How to Apply

To apply for this position, visit the careers page below:

01
Visit the official application page and review the details of the job vacancy.
02
Confirm that you meet the eligibility requirements and have the relevant qualifications for the role.
03
Update your resume to highlight relevant Data Science, Machine Learning, analytics, and programming skills.
04
Complete the application form, ensuring that all information is accurate and up to date.
05
Review your application and submit it via the careers portal.

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