Sanas Data Analyst Intern 2026 – Bengaluru
Sanas is hiring a Data Analyst Intern for CX Data & BI in Bengaluru, India. The internship focuses on SQL, data analysis, visualization, dashboards, APIs, statistical analysis and communicating data-driven insights.
- Company: Sanas
- Role: Data Analyst Intern for CX Data & BI
- Location: Bengaluru, India
- Work mode: On-site
- Job type: Internship
- Primary skills: SQL, Python, Data Visualization, APIs
- BI tools: Tableau, Power BI or Metabase
- Salary: Not disclosed in the official listing
🛡️ Job Verification
This vacancy was checked against the official Sanas recruitment listing on August 7, 2026.
Official source: Sanas official recruitment portal
📌 In This Guide
✅ Quick Eligibility
- Currently pursuing or recently passed a Bachelor's or Master's degree.
- Relevant backgrounds include Data Science, Statistics, Computer Science, Engineering or a related field.
- Hands-on SQL experience.
- Experience with at least one programming language for data analysis, with Python preferred.
- Basic understanding of data visualization tools.
- Ability to work with large datasets.
- Familiarity with APIs and interest in AI tools.
- Strong communication and problem-solving skills.
💻 Responsibilities
According to the official Sanas listing, the intern will work with analysts and cross-functional teams on real-world data and reporting.
- Collect, clean and organize large datasets.
- Perform exploratory data analysis to identify patterns and trends.
- Build and maintain dashboards, reports and visualizations.
- Assist with data pipelines and API-based data integration.
- Apply statistical methods to business problems.
- Handle ad-hoc data requests and investigate available datasets.
- Present findings to technical and business audiences.
- Stay current with AI tools and industry trends.
🛠️ Required Skills
- SQL: Practical experience querying and analyzing data.
- Python: Preferred programming language for data analysis.
- Data analysis: Strong analytical and problem-solving foundation.
- Visualization: Tableau, Power BI or Metabase knowledge.
- Large datasets: Ability to collect, clean and organize data.
- APIs: Familiarity with API-based data sources.
- AI: Interest in using modern AI tools for analysis and reporting.
- Communication: Ability to explain insights clearly.
⭐ Preferred Qualifications
Sanas also lists several preferred qualifications that can strengthen an application:
- Previous internship or project experience with real-world datasets.
- Strong Excel or Google Sheets skills.
- Familiarity with AWS, GCP or Azure.
- Experience creating dashboards or interactive reports.
- Exposure to API integrations and automation workflows.
- Data storytelling and creative visualization ability.
- Ability to work independently and collaboratively.
👨💻 Is This Internship a Good Fit?
This opportunity is particularly suitable for students or recent graduates who can demonstrate practical data-analysis ability through projects, internships or academic work.
A strong candidate should be able to show more than coursework. For example, a portfolio project using SQL and Python to clean, analyze and visualize a real dataset can help demonstrate practical ability.
📄 Resume Checklist
- ✅ Add a SQL/data-analysis project.
- ✅ Mention SQL joins, CTEs, aggregations or window functions when genuinely used.
- ✅ Mention Python/Pandas experience.
- ✅ Add Tableau, Power BI or Metabase projects if applicable.
- ✅ Mention API integration experience if applicable.
- ✅ Include Excel/Google Sheets if you have practical experience.
- ✅ Add GitHub or portfolio links.
- ✅ Quantify project results where possible.
🧠 Interview Preparation
The following preparation areas are editorial suggestions based on the skills and responsibilities in the official listing.
- SQL: Practice JOINs, GROUP BY, HAVING, subqueries, CTEs and window functions.
- Python/Pandas: Practice data cleaning, missing values, duplicates, filtering, grouping and basic transformations.
- EDA: Be prepared to explain how you investigate a new and messy dataset.
- Visualization: Understand how to choose charts and communicate trends clearly.
- Statistics: Revise descriptive statistics, distributions, correlation and basic statistical reasoning.
- APIs: Understand REST APIs, JSON data and basic API integration concepts.
- Communication: Practice explaining technical findings to non-technical stakeholders.
❓ Frequently Asked Questions
Who can apply for this Sanas internship?
Sanas says candidates currently pursuing or recently passing a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Engineering or a related field can apply.
What programming language does Sanas prefer?
Python is preferred for data analysis, alongside hands-on SQL experience.
Which BI tools are relevant?
The official listing mentions Tableau, Power BI and Metabase.
Is the salary or stipend disclosed?
The official listing does not disclose a salary or stipend amount.
Where is the internship located?
The official listing identifies Bengaluru, India as the location.
⚠️ Job Scam Warning
Never pay money to apply for a job or to schedule an interview. Do not share OTPs, banking passwords or other sensitive financial credentials with someone claiming to be a recruiter.
📝 How to Apply
Review the official qualifications and make sure your resume accurately reflects your actual skills and projects.
Highlight relevant SQL, Python, data visualization, API, analytics and project experience.
Submit your application through the Sanas recruitment portal.
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Latest Fresher Jobs independently publishes career information for job seekers and is not affiliated with Sanas. Job availability, eligibility, compensation and application requirements can change. Always verify the latest information on the official employer portal before applying.
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