Starting your career in analytics and data engineering with a fast-growing SaaS company can significantly accelerate your technical growth and real-world exposure. Sense is an AI-driven HR technology platform that helps enterprises automate hiring, talent engagement, and recruiting workflows. Sense is currently hiring for the role of Analytics Engineering Intern in Bengaluru, India, offering a high-impact internship opportunity for students and early-career candidates who want hands-on experience with modern data systems.
This role is ideal for candidates who enjoy working with data, writing code, and understanding how analytics directly supports product, business, and leadership decisions.
About Sense as an Employer
Sense builds conversational AI and automation tools used by global enterprises to improve hiring efficiency and candidate experience. From an experience and trust perspective, Sense is known for its strong engineering culture, data-driven decision-making, and startup agility combined with enterprise-grade systems. The company works with large volumes of real-time data, making analytics and data engineering core to its success.
For interns and early-career professionals, Sense provides exposure to real production environments, meaningful ownership, and mentorship from experienced engineers.
Job Overview – Analytics Engineering Intern
The Analytics Engineering Intern role focuses on building and maintaining data pipelines, transforming raw data into usable analytics layers, and supporting reporting needs across teams.
Key job details include:
- Role Title: Analytics Engineering Intern
- Experience Level: Internship / Early Career
- Qualification: Pursuing or recently completed Bachelor’s or Master’s degree
- Location: Bengaluru, India
- Employment Type: Internship
This role blends software engineering principles with data analytics, making it highly valuable for long-term careers in data engineering and analytics.
Role Purpose and Business Impact
The primary purpose of this role is to support Sense’s analytics infrastructure by ensuring data is reliable, scalable, and ready for decision-making. Interns contribute to real pipelines that power dashboards, reports, and insights used by internal teams and leadership.
This role helps candidates understand how raw data flows through systems and is transformed into meaningful business intelligence.
Key Responsibilities
Interns in this role work closely with analytics engineers and data teams.
Core responsibilities include:
- Writing production-quality Python code for data pipelines
- Ingesting, transforming, and modeling large datasets
- Working with Snowflake for data storage and querying
- Supporting analytics use cases and dashboard requirements
- Debugging data quality and pipeline issues
- Improving data validation, monitoring, and reliability
- Collaborating with analytics and engineering teams
These responsibilities provide hands-on exposure to real analytics engineering workflows.
Eligibility Criteria and Required Skills
Candidates applying for this role should meet the following criteria.
Educational background:
- Currently pursuing or recently completed a degree in Computer Science, Engineering, Statistics, or related field
Technical skills required:
- Strong fundamentals in Python programming
- Basic understanding of SQL and relational databases
- Interest in data engineering and analytics systems
- Familiarity with data structures and logical problem-solving
Professional skills expected:
- Curiosity and eagerness to learn
- Ability to work with data and numbers
- Good communication and collaboration skills
- Comfort working in a fast-paced environment
Prior industry experience is not mandatory, but strong fundamentals are essential.
Skills You Will Develop in This Role
This internship helps build highly in-demand data and engineering skills.
Skills gained include:
- Analytics engineering and data pipeline development
- Python-based data processing
- SQL querying and data modeling
- Snowflake data warehouse usage
- Debugging and data quality management
- Collaboration with cross-functional teams
These skills are directly transferable to roles such as Data Engineer, Analytics Engineer, and BI Developer.
Work Culture and Learning Environment
Sense promotes a collaborative, ownership-driven work culture where interns are treated as real contributors. Teams value experimentation, learning, and continuous improvement. Interns receive mentorship, feedback, and the opportunity to work on production systems rather than isolated test tasks.
This environment helps candidates gain confidence and professional maturity early in their careers.
Career Growth and Future Opportunities
Completing an analytics engineering internship at Sense creates strong future career opportunities.
Potential career paths include:
- Analytics Engineer
- Data Engineer
- Business Intelligence Developer
- Data Analyst with strong engineering background
Experience with real data systems at a SaaS company significantly improves long-term employability.
Selection Process Overview
Candidates can generally expect the following stages:
- Online application and resume screening
- Technical evaluation focusing on Python, SQL, and logic
- Interview with analytics or engineering team members
- Final discussion and selection
Candidates who demonstrate solid fundamentals, curiosity, and problem-solving ability tend to perform well.
How to Apply for Sense Analytics Engineering Intern Role
Candidates should apply only through the official Sense careers portal to ensure authenticity and data security.
Steps to apply:
- Visit the official Sense job listing
- Review the role description and eligibility criteria carefully
- Click on Apply Now
- Create or log in to your candidate profile
- Fill in accurate personal and educational details
- Upload an updated resume
- Submit the application
