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Sense Internship Openings 2026 | Analytics Engineering Intern | Bengaluru | Placement Officer
📌 Quick Overview (Read First)
Sense, a fast-growing AI-powered HR Tech
SaaS company, is inviting applications for its Analytics Engineering
Internship 2026 in Bengaluru, India. This internship is ideal for Computer
Science, Engineering, Statistics, or related discipline students who are
passionate about data engineering, analytics, Python, SQL, and large-scale
data systems.
Interns will work on real production
data pipelines processing 5+ PB of data per month, gaining hands-on
exposure to Snowflake, Python-based data pipelines, analytics engineering
best practices, and real business decision-making.
🔍 Internship Details – Sense Analytics Engineering Intern
|
Parameter |
Details |
|
Company |
Sense |
|
Internship Role |
Analytics
Engineering Intern |
|
Location |
Bengaluru, India |
|
Internship Type |
Full-Time
Internship |
|
Batch |
2026 (Pursuing
UG/PG) |
|
Work Domain |
Data Engineering /
Analytics |
|
Mode |
Onsite / Flexible
Policies |
🏢 About Sense
Founded in 2015, Sense is
an AI-driven HR Technology SaaS platform transforming how companies hire
by bringing speed, precision, and personalization to talent engagement.
Sense serves 1,000+ customers globally
and is backed by leading investors such as:
·
Google Ventures
·
SoftBank
·
Accel
·
Avataar Ventures
With a team of 250+ professionals,
Sense is solving one of the most universal workforce challenges—helping
people find meaningful work faster, using AI, automation, and data at
scale.
💼 Internship Role Overview
As an Analytics Engineering Intern,
you will work closely with Sense’s Analytics team to design, build, and
maintain data pipelines and analytics systems used by Product,
Engineering, GTM, and Leadership teams.
This is a hands-on, production-level
internship where your work will directly impact decision-making across the
organization.
🧾 Key Responsibilities
·
Write production-grade
Python code for building and maintaining data pipelines
·
Ingest, transform,
and model large-scale datasets for analytics and reporting
·
Work with Snowflake
for:
o Data warehousing
o Query optimization
o Performance tuning
·
Collaborate with Analytics
Engineers and Data Analysts on metrics and data models
·
Improve data
quality, monitoring, and validation frameworks
·
Debug pipeline
failures and investigate data inconsistencies
·
Learn best practices
in scalable analytics engineering
🎓 Eligibility Criteria
·
Currently pursuing Bachelor’s
or Master’s degree in:
o Computer Science
o Engineering
o Statistics
o Mathematics
o Or a related field
·
Batch: 2026
(Pursuing students)
🛠️ Required Skills
Technical Skills
·
Strong fundamentals
in Python
·
Good understanding
of data structures
·
Basic knowledge of SQL
·
Familiarity with data
warehousing concepts
·
Interest in data
engineering & analytics
Soft Skills
·
Curious and
analytical mindset
·
Ability to
understand end-to-end data flow
·
Comfortable working
in a fast-paced, collaborative environment
·
Willingness to learn
and take ownership
⭐ Why This Internship is Valuable
·
Work on systems
processing 5+ Petabytes of data every month
·
Real exposure to production-grade
data pipelines
·
Hands-on experience
with Snowflake
·
Learn analytics
engineering used by modern SaaS companies
·
Mentorship from experienced
Analytics Engineers
·
Strong foundation
for future roles in:
o Analytics Engineering
o Data Engineering
o Data Science
🎁 Perks & Benefits
·
Competitive
internship compensation
·
Wellness days for
rest and recharge
·
Flexible work
policies
·
Exposure to
real-world business decision-making
·
Learning-focused,
supportive team culture
💡 Pro Tips to Get Selected
1. Strengthen Python fundamentals
(functions, OOP, data handling)
2. Practice SQL queries (joins,
aggregations, window functions)
3. Understand ETL / ELT pipelines
4. Learn Snowflake basics
(architecture, querying, performance)
5. Revise data warehousing concepts
(facts, dimensions, metrics)
6. Be ready to explain how data flows
end-to-end in an analytics system
❓ Frequently Asked Questions (FAQs)
Q1. Who can apply for this internship?
Students pursuing Bachelor’s or Master’s degrees (2026 batch) in CS,
Engineering, Statistics, or related fields.
Q2. Is this a real production internship?
Yes. Interns work on live production data pipelines used daily across
teams.
Q3. Which technologies should I focus on?
Python, SQL, Snowflake, data pipelines, and analytics engineering concepts.
Q4. Is this internship suitable for Data Science aspirants?
Yes. It provides a strong foundation for analytics engineering and data science
roles.
🔚 Final Conclusion
The Sense Analytics Engineering Internship 2026 is a high-impact, data-centric internship offering real-world exposure to petabyte-scale data systems, modern analytics tooling, and business-driven insights. For students aiming to build a career in data engineering, analytics engineering, or data science, this internship provides an exceptional learning platform within a fast-growing AI SaaS company.
🔗 Apply Link: Click Here To Apply for Sense
|
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Disclaimer
The recruitment details shared above are for informational purposes only and
have been obtained from the organization’s official website. We do not
guarantee any job placements. Recruitment will be conducted according to the
company's official process. We do not charge any fees for sharing this job
information.
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