Data Analyst Intern · Bengaluru

Data Analyst Intern is a delivery-focused opportunity based in Bengaluru, India.

* The candidate must be very good in English, both in verbal and written * He/ she must be from an engineering background with a passion to work as a data engineer. * The candidate would be good at data validation/data population as part of the visualization process.

Key Responsibilities

• * The candidate must be very good in English, both in verbal and written * He/ she must be from an engineering background with a passion to work as a data engineer
• * The candidate would be good at data validation/data population as part of the visualization process
• * The candidate would be good in Microsoft Excel and PowerPoint in creating presentations * The candidate must have working knowledge of Tableau/Power BI/SPSS/Excel/Google Sheets-based quick descriptive analytics and hands-on engagement for data extraction and investigation * Data manipulation and preparation for large-scale report automation and population using Excel/SPSS/Tableau/R/Python/others
• Own day-to-day Data Analyst Intern workflows with a focus on throughput, control, and process clarity.
• Track operational execution closely and intervene early when bottlenecks or exceptions emerge.
• Coordinate across teams to keep dependencies moving and stakeholders informed.
• Review reports, data, or reconciliations to identify gaps, risks, and corrective actions.
• Standardize repeatable processes and improve documentation so work is easier to execute reliably.
• Resolve escalations with urgency while preserving process integrity and service quality.
• Maintain clear records of outcomes, blockers, and action items for operational visibility.
• Partner with managers and functional teams to improve workflow design and turnaround times.
• Use operational metrics to prioritize improvement efforts and measure changes over time.

Preferred Qualifications

• Bachelor's degree or equivalent practical experience in operations, commerce, business, or a related field.
• Strong analytical thinking with the ability to work through ambiguity and operational bottlenecks.
• Excellent coordination, communication, and stakeholder-management skills.
• Comfort working across data, process, and execution details to improve throughput.
• Strong ownership mindset with attention to detail and follow-through.
• Ability to balance process discipline with fast-moving business needs.

Applications should be submitted through the listed apply link.