Data Analyst – Technical

Zuntra Digital

Chennai District

On-site

INR 600,000 - 900,000

Full time

14 days+

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Job summary

Zuntra Digital is seeking a Data Analyst to transform raw data into actionable insights. You will work at the intersection of technology, data, and business, supporting teams with insights, reports, and structured analysis using Python, SQL, and Excel.

Role involves collaborating with product, marketing, and technical teams to deliver data-driven decisions, design dashboards, and ensure data quality. Chennai-based, on-site role in a dynamic digital environment.

Qualifications

  • Bachelor's degree in Engineering, Computer Science, IT, Data Science or related field
  • Strong analytical and problem-solving abilities
  • Proficiency in Python, SQL, and Microsoft Excel
  • Ability to convert raw data into meaningful insights
  • Good communication and documentation skills
  • Curiosity and willingness to learn in a fast-paced environment
  • Familiarity with data visualization tools such as Power BI or Tableau (preferred)

Responsibilities

  • Collect, clean, and analyse structured and semi-structured datasets
  • Write efficient SQL queries for data extraction, joins, and aggregations
  • Use Python (Pandas, NumPy) for data analysis, automation, and reporting
  • Create dashboards, reports, and performance summaries using Excel
  • Identify trends, patterns, and anomalies in business and product data
  • Collaborate with product, marketing, and technical teams to provide data insights
  • Document analysis findings and prepare presentations for stakeholders
  • Support data validation, quality checks, and process improvements

Job description

Empowering Ideas, Shaping Futures. Zuntra Digital blends creativity, technology, and strategy to power future-ready brands. From media tech and data-driven platforms to automation and AI innovation, we build solutions that help businesses create, scale, and lead in the digital age.

Empowering Ideas, Shaping Futures. Zuntra Digital blends creativity, technology, and strategy to power future-ready brands. From media tech and data-driven platforms to automation and AI innovation, we build solutions that help businesses create, scale, and lead in the digital age.

If you enjoy working with data, analysing trends, and understanding how data drives business decisions, this role is built for you. As a Data Analyst, you will work at the intersection of technology, data, and business, supporting teams with insights, reports, and structured analysis using Python, SQL, and Excel.

What you'll do
  • 01 Collect, clean, and analyse structured and semi-structured datasets
  • 02 Write efficient SQL queries for data extraction, joins, and aggregations
  • 03 Use Python (Pandas, NumPy) for data analysis, automation, and reporting
  • 04 Create dashboards, reports, and performance summaries using Excel
  • 05 Identify trends, patterns, and anomalies in business and product data
  • 06 Collaborate with product, marketing, and technical teams to provide data insights
  • 07 Document analysis findings and prepare presentations for stakeholders
  • 08 Support data validation, quality checks, and process improvements
What we're looking for

Required

Technical background in Engineering, Computer Science, IT, Data Science, or related fields

Strong analytical and problem-solving abilities

Proficiency in Python, SQL, and Microsoft Excel

Ability to convert raw data into meaningful and actionable insights

Good communication and documentation skills

Curiosity and willingness to learn in a fast-paced environment

Preferred

Familiarity with data visualization tools such as Power BI or Tableau

Basic understanding of databases, APIs, or data pipelines

Exposure to statistics, KPIs, or business metrics

Experience working with real-world datasets or academic projects

The Zuntra ecosystem.

Zuntra builds intelligent systems, digital products and technology ventures. We work across AI and intelligence, product engineering, enterprise solutions, robotics, design and venture building.

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