
Data Analyst Intern at Criteo is a genuinely substantive nine-month program, not a short summer placement — and the EMEA shift timing (starting around noon, wrapping up at night) is worth understanding clearly upfront, since it directly shapes what your actual daily routine would look like for the better part of a year.
What Criteo actually does, briefly
Criteo describes itself as a Commerce Intelligence Platform, helping businesses turn shopper signals into measurable commerce outcomes using proprietary AI decisioning. It’s a genuinely global company — roughly 3,600 employees (“Criteos”) collaborating across offices worldwide and remote setups, with a fast-growing India presence based out of Gurugram specifically.
What the internship actually involves
- Collecting, cleaning, and analyzing data pulled from various sources — genuinely hands-on data work, not just reviewing pre-cleaned datasets
- Building interactive dashboards using Power BI and Tableau
- Supporting the team with SQL queries and data extraction
- Writing automation and reporting scripts in Python — explicitly called “good to have,” not mandatory
- Assisting with reporting and visualization work that directly informs real business decisions
Eligibility requirements
- A completed bachelor’s degree in a quantitative field — Computer Science, Statistics, Mathematics, Economics, or similar
- Excellent verbal and written communication skills
- Solid understanding of SQL, with genuine ability to write queries independently
- Strong problem-solving abilities paired with real attention to detail
- Ability to work well within a team environment
- A positive attitude and genuine willingness to learn
A genuinely encouraging note in Criteo’s own listing
Criteo explicitly states that candidates who don’t meet every single listed requirement should still apply if they believe they can bring value to the role — a refreshingly direct acknowledgment that most listings imply but rarely state outright. Worth taking at face value if you’re on the fence about applying due to a partial skill gap, particularly around the Python requirement, which is explicitly optional here.
What working at Criteo actually offers beyond the stipend
Criteo’s own benefits messaging highlights a hybrid working model blending in-office and remote time, structured learning and mentorship programs, health and wellness benefits including mental health support, and the potential for equity depending on role and level — genuinely more comprehensive than a typical internship benefits package, worth factoring into how you compare this against other offers.
Being realistic about the shift timing
This is worth restating clearly since it’s easy to skim past: the EMEA shift (12:30 PM to 9:30 PM IST) means your workday runs into the evening for the entire nine-month duration — a genuinely different daily rhythm than a standard 9-to-5 internship. Candidates should factor this honestly into their decision, especially if they have evening commitments (coursework, other obligations) that might conflict.
Questions Candidates Commonly Have
1. Is this internship fully remote? No — Criteo’s benefits messaging describes a hybrid working model, meaning some in-office presence in Gurgaon should be expected alongside remote time, not a fully remote arrangement.
2. Is Python knowledge mandatory to apply? No — the listing explicitly states basic Python is “good to have but not mandatory,” making this genuinely accessible to candidates with strong SQL skills even without programming experience.
3. Is this internship open to 2026 and 2027 graduating batches, or just one? Based on independent reporting covering this exact role, both 2026 and 2027 batches meeting the eligibility criteria are eligible to apply.
4. Is the ₹25,000–50,000/month stipend figure officially confirmed by Criteo? No — Criteo’s own listing doesn’t publish a stipend figure. This range is based on independent job-alert reporting for this exact role, not an official confirmed number from Criteo.
About Criteo
Criteo is a global commerce media platform connecting brands, retailers, and publishers, originally founded in 2005 in Paris around dynamic retargeting — showing shoppers personalized product ads based on items they'd viewed but not purchased. Its machine learning models predict which products, creative, and placements are most likely to drive a click and eventual sale. The company has since evolved...
View Company Profile →Top Interview Questions
Prepare with commonly asked questions for this role
SELECT category, AVG(value_column) AS avg_value
FROM table_name
GROUP BY category;
Be ready to explain your reasoning aloud — interviewers for analyst roles often weigh clarity of thought as much as exact syntax.
I'd start with a short conversation to understand the actual business question they're trying to answer, rather than guessing at metrics — a dashboard built around a real decision is far more useful than one built around whatever data happens to be available.
I'd first identify the pattern and scale of the missing data — whether it's random or systematic — then decide between removing, imputing, or flagging incomplete records based on what the downstream analysis actually requires, rather than applying one blanket fix to everything.
Answer honestly based on your actual circumstances — Criteo states this requirement explicitly upfront, so a genuine, considered response matters more than agreeing without having thought through the real impact on your routine.
Reference a specific, real project — naming the actual tool and what business or academic question it answered — since concrete, specific answers land far better than a general claim of familiarity with these tools.
