Data Analyst

Infosys

📍Bengaluru East, Karnataka, India
Posted May 25, 2026
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Job Overview

Position

Data Analyst

Company

Infosys

Location

Bengaluru East, Karnataka, India

Work Type

On-site

Job ID

li-4398766299

Job Description

  • Experience with Kafka, GIT, Jenkins, Dynatrace.

  • Experience with big data technologies such as Hadoop, Spark.

  • Experience with cloud computing platforms such as AWS, Azure, GCP

  • Experience with data governance and security

  • Work with stakeholders to understand their business needs.

  • Translate business needs into technical requirements.

  • Communicate requirements to the engineering teams.

  • Work with the engineering teams to develop and implement solutions that meet the needs of the stakeholders.

  • Monitor and evaluate the performance of the data platform and make recommendations for improvement.

  • Stay up to date on the latest data technologies and trends.

  • Experience working with data engineering, data analytics, and data science teams.

  • Strong understanding of data modeling, extraction and big data technology

  • Experience with agile development methodologies

  • 2+ years’ Experience with hands-on data analysis and visualization tools such as Kibana, Grafana, Prometheus, Looker, Lucene Query, big Python, Google Standard SQL.

  • Excellent communication and interpersonal skills

  • Ability to work independently and as part of a team.
✦

Interview Prep

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Key Skills

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Practice Questions

💡Technical Questions (3)
  • 1.How would you use Spark in conjunction with a cloud platform like AWS or Azure to process a large dataset, and what role does data governance play in that pipeline?
  • 2.Can you explain how you would use Kibana, Grafana, and Lucene Query to monitor a data platform's performance and identify anomalies?
  • 3.Describe your experience working with Kafka and how it fits into a big data architecture alongside data engineering teams.
🎯Behavioral Questions (3)
  • 1.Tell me about a time you had to translate complex business needs from stakeholders into technical requirements for an engineering team.
  • 2.Describe a situation where you had to monitor and evaluate the performance of a data platform and make a recommendation for improvement.
  • 3.Give an example of a time you worked independently to learn a new data technology and applied it to a project.
🧩Situational Questions (2)
  • 1.You are working in an Agile sprint and a stakeholder requests a new data visualization that requires data from an undocumented source. The engineering team is busy. How do you handle this?
  • 2.You notice a sudden spike in latency on the data platform via Prometheus alerts, but the engineering team is unavailable due to a release cycle. What is your immediate course of action?

Resume Keywords

Make sure these keywords appear on your resume

HadoopSparkKafkaAWSData GovernanceKibanaGrafanaPythonGoogle Standard SQLAgileData ModelingJenkins

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