What you’ll bring

All qualifications

Preferred experience

Experience: Prior internship or academic project in data engineering is a plus.

Qualification wording

Experience: Prior internship or academic project in data engineering is a plus.

Education & alternatives

MS PowerPoint (Intermediate): Ability to create structured slides, use master layouts, and build clear charts/graphs.

Tools in this posting

SQL
Excel

Source

Experience: Prior internship or academic project in data engineering is a plus. Data Engineering: Basic understanding of ETL processes, databases, and SQL queries. MS Excel (Intermediate): Proficiency with VLOOKUP/XLOOKUP, Pivot Tables, logical formulas (IF, AND, OR), and data formatting.

Data Extraction: Gather service, warranty, and customers feedback data from various Aftersales platforms/ ERPs. Pipeline Management: Assist in designing and maintaining basic data pipelines for the Aftersales ecosystem. Report Creation: Update weekly and monthly Aftersales performance dashboards using MS Excel. Data Cleaning: Clean and validate raw field data to ensure reporting accuracy and consistency. Presentation Support: Convert complex data sheets into clear, visual PowerPoint presentations for leadership updates. Cross-functional Collaboration: Work with service engineers to understand data Requirements

Data Engineering: Basic understanding of ETL processes, databases, and SQL queries. MS Excel (Intermediate): Proficiency with VLOOKUP/XLOOKUP, Pivot Tables, logical formulas (IF, AND, OR), and data formatting.

Job description

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Data Extraction: Gather service, warranty, and customers feedback data from various Aftersales platforms/ ERPs.
Pipeline Management: Assist in designing and maintaining basic data pipelines for the Aftersales ecosystem.
Report Creation: Update weekly and monthly Aftersales performance dashboards using MS Excel.
Data Cleaning: Clean and validate raw field data to ensure reporting accuracy and consistency.
Presentation Support: Convert complex data sheets into clear, visual PowerPoint presentations for leadership updates.
Cross-functional Collaboration: Work with service engineers to understand data

Requirements

Education: Recently graduated B.E. / B.Tech (Computer Science, IT, Data Engineering, or related streams).

Experience: Prior internship or academic project in data engineering is a plus.

Data Engineering: Basic understanding of ETL processes, databases, and SQL queries.

MS Excel (Intermediate): Proficiency with VLOOKUP/XLOOKUP, Pivot Tables, logical formulas (IF, AND, OR), and data formatting.

MS PowerPoint (Intermediate): Ability to create structured slides, use master layouts, and build clear charts/graphs.

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Location & working pattern

Bengaluru, India

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Open source at ultraviolette.zohorecruit.in ↗Read the full description ↓

Status in our records: Active
First seen by us: Sep 2, 2026
Recorded sightings: 69
Last seen by us: Oct 8, 2026

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