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Data Analytics Internship

Zenotalent

  • Remote
  • ₹45,000 per month (Stipend)
  • Fresher (0-1 Yrs)
  • Posted Today
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About the role

Zenotalent is an emerging technology‑driven talent platform that focuses on building data‑centric workplaces for the next generation of professionals. Founded with the belief that curiosity and responsible data usage can transform business decisions, the company has quickly positioned itself as a hub for fresh talent to work on real‑world problems. Their culture encourages hands‑on learning, clear communication, and a collaborative environment where interns are treated as valued contributors rather than peripheral observers.

By leveraging a mix of analytics, product development, and consulting services, Zenotalent helps client organizations unlock insights that drive growth and efficiency.

The Data Analytics Internship at Zenotalent offers a unique blend of practical exposure and mentorship. Interns will be embedded within a cross‑functional analytics team that supports multiple business units, ranging from product development to client reporting. The role is fully remote, allowing candidates from across India to join without relocation constraints.

Over a six‑month period, interns will work on end‑to‑end data pipelines, develop visual dashboards, and present actionable insights to senior stakeholders. This experience is designed to bridge the gap between academic learning and industry‑level data practice.

Key Responsibilities

  • Collect, clean, and validate data from diverse sources such as APIs, CSV files, and internal databases.
  • Assist in building and maintaining automated data pipelines using tools like Python, SQL, and ETL frameworks.
  • Prepare recurring reports and interactive dashboards using Power BI or Tableau.
  • Conduct exploratory data analysis to uncover trends, anomalies, and growth opportunities.
  • Document analytical methods, assumptions, and data definitions for reproducibility.
  • Collaborate with product managers and business analysts to translate business questions into analytical tasks.
  • Support the creation of concise analytical summaries and presentation decks for stakeholder meetings.
  • Maintain version control of scripts and reports using Git.
  • Participate in weekly knowledge‑sharing sessions to learn emerging analytics techniques.
  • Ensure data privacy and compliance with company policies throughout the workflow.

Tech Stack: Python (pandas, numpy), SQL, Power BI/Tableau, Git, Excel, basic statistics, and cloud storage (Google Drive, AWS S3).

Growth Path: Successful interns may be offered a full‑time Analyst position, with clear progression to Senior Analyst, Data Scientist, or Product Analyst roles based on performance and skill development. The company invests in continuous learning through internal workshops, external certifications, and mentorship programs.

Why Join Zenotalent? The internship provides real‑impact projects, a supportive remote work culture, and direct mentorship from experienced data professionals. Candidates gain exposure to a variety of industries, sharpen their analytical toolkit, and build a portfolio of deliverables that can accelerate their early career trajectory.

Eligibility & process

Who can apply

Open to undergraduate and postgraduate students from Engineering, Arts, Commerce, Science and other streams. Minimum aggregate of 60% (or equivalent CGPA) in the most recent qualification. Final year students and fresh graduates (no backlogs) are eligible. No prior work experience required; a strong interest in data analysis and willingness to learn are essential.

Skills & stack

Python SQL Data Cleaning Data Visualization Advanced Excel Statistical Analysis Next.js AWS

Selection process

  1. Round 1: Online Aptitude & Logical Reasoning Test
  2. Round 2: Technical Interview (Data Analytics concepts, SQL/Python)
  3. Round 3: HR Interview (fit and motivation)

Prep kit

20 resources
Study material 4
Company-specific guides 4
Likely coding questions 4
Round-wise strategy 4
Round 1: Online Assessment (OA) Aptitude, Quantitative Logic & 2 Coding Problems Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1 Core Tech Stack (Python, SQL, Data Cleaning, Data Visualization, Advanced Excel, Statistical Analysis, Next.js, AWS) & Live Code Tracing Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving Database Schemas, APIs & Architecture Basics Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion Zenotalent Core Values, Learning Agility & Offer Terms Demonstrate passion, strong communication, and readiness for full-time collaboration.
Technical questions 5
What is the difference between WHERE and HAVING clauses in SQL? Answer
Model answer: WHERE filters rows before any groupings are applied, while HAVING filters aggregated groups after GROUP BY has executed.
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer
Model answer: ROW_NUMBER() assigns unique sequential integers. RANK() assigns identical ranks to ties and skips ranks. DENSE_RANK() assigns identical ranks to ties without skipping rank numbers.
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer
Model answer: Use .isna().sum() to identify missing values. Impute with mean/median using .fillna() or remove with .dropna(subset=[...]) depending on variance impact.
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer
Model answer: Star Schema has denormalized dimension tables directly connected to the central Fact table. Snowflake Schema normalizes dimension tables into sub-dimensions to minimize redundancy.
How do you calculate MoM (Month-over-Month) growth in SQL? Answer
Model answer: Use LAG(revenue, 1) OVER (ORDER BY month) to fetch the previous month's revenue and compute (revenue - prev_revenue) / prev_revenue * 100.
Behavioural & HR questions 3
Why do you want to join Zenotalent as a Data Analytics Internship?
Highlight Zenotalent's market reputation, recent tech innovations, and how your skills in Python directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
Zenotalent ₹45,000 per month (Stipend)
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