Experience: 0-1 year
Agar tum B.Tech, BCA, Computer Science ya related field ke fresher ho aur Data Analytics ya AI/ML me career banana chahte ho, toh yeh post tumhare liye hai. Highspring India Gurugram me Data Analyst Intern (AI/ML) hire kar rahi hai. Role Work From Office hai, 5 days a week hai, aur freshers aur entry-level candidates dono ke liye open hai.
SQL, Excel, Power BI ya Tableau ka knowledge ho toh abhi apply karo.
Highspring India Ke Baare Me
Highspring India LLP ek research aur analytics company hai jo data-driven work pe focused hai. Gurugram me inki office hai aur yeh company actively fresh talent hire kar rahi hai — data analysis aur AI/ML domains me. Pehle Associate Research Analyst role nikali thi, ab yeh Data Analyst Intern role hai — clearly yeh company grow kar rahi hai.
Job Ki Poori Detail
| Detail | Jankari |
|---|---|
| Position | Data Analyst Intern (AI/ML) |
| Company | Highspring India |
| Location | Gurugram |
| Work Mode | Work From Office |
| Working Days | 5 Days a Week |
| Experience | Fresher / Entry-Level |
| Apply Via | Google Form |
Eligibility – Kaun Apply Kar Sakta Hai?
- Bachelor’s degree in Technology, Computer Science, Computer Applications, Information Systems ya related field
- Freshers aur entry-level candidates — dono welcome hain
- Data, technology aur AI/ML me genuine passion hona chahiye
Required Skills:
- Strong analytical aur problem-solving skills
- AI/ML concepts ki foundational knowledge
- SQL — data analysis ke liye good understanding
- Excel — Pivot Tables aur VLOOKUP/Lookups including
- Power BI, Tableau ya Looker Studio — inme se koi bhi
- Reports, dashboards aur clear documentation create karne ki ability
- Excellent written aur verbal communication skills
Bonus:
- Python — basic knowledge bhi plus point hai
Kaam Kya Karna Hoga?
- Business data collect, clean aur analyze karna
- SQL queries likh ke databases se insights nikalna
- Excel dashboards aur reports banana — Pivot Tables use karke
- Power BI ya Tableau me visualizations build karna
- AI/ML concepts apply karke real-world business problems solve karna
- Clear documentation maintain karna
- Team ke saath milke data-driven decisions support karna
Yeh Internship Kyun Karni Chahiye?
AI/ML + Data Analytics combo: Yeh combination industry me bahut demand me hai — sirf data analysis nahi, AI/ML concepts bhi seekhne ko milenge.
Work From Office — Gurugram: Office me kaam karna matlab direct mentorship, team learning aur professional environment — remote se zyada fast growth hoti hai beginners ke liye.
Freshers Welcome: Zero experience required — sirf skills aur passion chahiye.
Growing Company: Highspring India actively expand kar rahi hai — early joiners ko zyada growth opportunities milti hain.
👉 Direct Apply Link
Click Here to Apply – Highspring India Data Analyst Intern
Form carefully fill karo — ek baar submit hone ke baad edit nahi hoga.
Interview Ki Taiyari – Yeh Questions Zaroor Padho
SQL Questions
Q. What is the difference between WHERE and HAVING?
WHERE filters individual rows before any grouping. HAVING filters groups after GROUP BY is applied. For example, to find departments with more than 5 employees: SELECT department, COUNT() FROM employees GROUP BY department HAVING COUNT() > 5 — you cannot use WHERE here because you are filtering on an aggregated value.
Q. What are window functions? Give an example.
Window functions perform calculations across a set of related rows without collapsing them like GROUP BY does. Examples include ROW_NUMBER(), RANK(), LAG(), LEAD(), and running SUM() OVER a window. For example: ROW_NUMBER() OVER (PARTITION BY department ORDER BY salary DESC) gives each employee a rank within their department by salary.
Q. Write a query to find the second highest salary.
SELECT MAX(salary) FROM employees WHERE salary < (SELECT MAX(salary) FROM employees). Or using DENSE_RANK: SELECT salary FROM (SELECT salary, DENSE_RANK() OVER (ORDER BY salary DESC) AS rnk FROM employees) WHERE rnk = 2.
Excel Questions
Q. What is VLOOKUP and when do you use it?
VLOOKUP searches for a value in the first column of a range and returns a value from another column in the same row. You use it to match and pull data from one table into another — for example, matching employee IDs to their department names from a separate table. Limitation: it only searches left to right. XLOOKUP is the modern replacement that works in any direction.
Q. What is a Pivot Table?
A Pivot Table summarizes large datasets by grouping, counting, and aggregating data with drag-and-drop simplicity. It lets you instantly see totals by category, time period, or any dimension — without writing formulas. It is one of the most tested Excel skills in data analyst interviews.
AI/ML Basics
Q. What is the difference between supervised and unsupervised learning?
Supervised learning trains models on labeled data — the correct output is known — to predict outputs for new inputs. Examples: linear regression, logistic regression, decision trees. Unsupervised learning finds patterns in unlabeled data. Examples: K-Means clustering, PCA. In a business context, predicting customer churn is supervised; customer segmentation without predefined groups is unsupervised.
Q. What is overfitting and how do you prevent it?
Overfitting happens when a model learns training data too well — including noise — and performs poorly on new data. Prevention: cross-validation, regularization (L1/L2), reducing model complexity, adding more training data, and using dropout in neural networks.
Q. What is a confusion matrix?
A confusion matrix shows how many predictions were correct and incorrect for a classification model — broken down by True Positives, True Negatives, False Positives, and False Negatives. From it you calculate precision, recall, F1-score, and accuracy.
Power BI / Tableau Questions
Q. What is the difference between a measure and a calculated column in Power BI?
A calculated column is computed row by row and stored in the model. A measure is computed dynamically at query time based on the filter context — it does not store values. Measures are more efficient for aggregations and KPIs.
Q. What makes a good dashboard?
A good dashboard answers one clear business question at a glance. It uses the right chart types, has clean design without clutter, highlights key insights prominently, and includes filters so users can explore the data. The most important metric should be immediately visible without scrolling.
HR Questions
Q. Tell me about yourself.
Mention your degree, the data tools you know — SQL, Excel, Power BI — and any project where you analyzed data or built a dashboard. If you have done any AI/ML coursework or project, highlight it. Keep it to 2 minutes.
Q. Why do you want to work as a Data Analyst Intern at Highspring?
Say that you want to apply your SQL, Excel, and data visualization skills to real business problems. Highspring’s focus on analytics and AI/ML aligns exactly with where you want to grow. Working in office means direct mentorship and faster learning — which is what you need at this stage.
Q. Tell me about a data project you have worked on.
Pick your strongest project — college, personal, or Kaggle. Describe the problem, data used, tools applied, and insight found. Numbers make it stronger — mention accuracy, dataset size, or business impact if possible.
Apply Se Pehle Yeh Checklist Dekho
✅ Resume me SQL, Excel, Power BI projects clearly mention karo
✅ GitHub ya portfolio — koi bhi data project online hai toh link ready rakho
✅ Python basic knowledge — agar hai toh resume me zaroor mention karo — plus point hai
✅ Google Form carefully fill karo — submit karne ke baad edit nahi hoga
✅ Gurugram commute plan karo — Work From Office hai
Aakhri Baat
Highspring India me Data Analyst Intern banna un logon ke liye perfect hai jo genuinely data aur AI/ML me interested hain aur real business problems pe kaam karna chahte hain. Freshers ke liye open door hai — abhi form fill karo.
👉 Abhi Apply Karo – Highspring India Data Analyst Intern Gurugram
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