Data Analyst Intern

CoverSelf · Bengaluru

Data Analyst Internship Onsite Bengaluru 3 Months Performance Stipend 1 applications received

40 views · 1 total applications received till now

Apply Now Already registered? Sign In

Standard Working Hours

Full-time schedule

Performance Stipend

Disclosed upon interview

Certificate & LOR

Official recommendation

3 Months

Live until 2027-01

Job Description & Overview

About CoverSelf

CoverSelf is a high-growth technology and innovation company operating in Bengaluru, Karnataka, India, India. Dedicated to delivering impactful digital solutions, the organization values agile execution, rapid product iteration, and continuous learning. Interns collaborate directly with seasoned technical leaders, contributing to meaningful projects that make a tangible impact across customer touchpoints and scalable systems.

About the Role

We are seeking a proactive and driven Data Analyst Intern to join our Data Analyst team. This opportunity is structured as a Onsite position based out of Bengaluru, Karnataka, India. In this role, you will apply theoretical knowledge to production challenges, collaborate with cross-functional colleagues, and help build reliable, performant solutions.

The selected candidate will receive structured guidance, participate in active sprint milestones, and gain end-to-end exposure to modern development lifecycles, team standups, and codebase management.

Key Responsibilities

Extract, transform, and clean raw datasets from multiple operational sources and relational databases.
Build high-impact interactive dashboards, KPI reports, and visual presentations using PowerBI and Tableau.
Write optimized, modular SQL queries to uncover growth bottlenecks, user retention patterns, and operational efficiency.
Partner with product and business stakeholders to translate strategic questions into actionable data insights.
Perform cohort analysis, funnel tracking, and statistical hypothesis testing on product metrics.
Maintain automated data hygiene checks and alert triggers for core metric anomalies.

Requirements & Qualifications

Proficiency in SQL (joins, aggregations, window functions) and relational database concepts.
Working experience with Python data science libraries (Pandas, NumPy, Matplotlib/Seaborn).
Strong grasp of dashboard creation in business intelligence tools like PowerBI, Tableau, or Metabase.
Curious analytical mindset with attention to detail and ability to synthesize data into clear recommendations.
Pursuing or completed a Degree in Analytics, Statistics, Computer Science, Engineering, or a related discipline.

Stipend & Incentive Qualification Criteria

Stipend is paid upon completing assigned project milestones along with maintaining required attendance and task completion as evaluated by the host organisation.

Skills & Tech Stack

Python SQL Pandas NumPy PowerBI Tableau Statistics

Apply by: 2027-01-03

Discussion (1)

Fenil Kalariya

When using AI tools like ChatGPT or Claude for code or data analysis, I treat the output as a draft that requires systematic verification rather than complete accuracy. To verify code, I test it directly in an isolated environment against mock edge cases (e.g., null values, boundary conditions, large datasets) to ensure it runs efficiently and handles errors properly. For analytical logic or SQL queries, I dry-run the logic manually or break the query down step-by-step, cross-referencing row counts and aggregations against baseline raw data. Finally, I check for hallucinated functions or outdated syntax against official documentation to ensure the code adheres to best practices and security standards.

More in Bengaluru

Stipend, if applicable, is contingent on assignment to a paid project and completion of required certifications. Full terms apply.