How much salary can I expect as a Data Analyst in Infosys in Bengaluru/Bangalore?

You can expect a minimum salary of 0 INR. The salary offered will depend on your skills, experience and performance in the interview.

What is the eligibility criteria to apply for Data Analyst in Infosys in Bengaluru/Bangalore?

The candidate should have completed the required education and people who have 2 to 9 years are eligible to apply for this job. You can apply for more jobs in Bengaluru/Bangalore to get hired quickly.

Is there any specific skill required for this job?

The candidate should have sound communication skills and sound communication skills for this job.

Who can apply for this job?

Both Male and Female candidates can apply for this job.

Is it a work from home job?

No, it's not a work from home job and can't be done online. You can explore and apply for other work from home jobs in Bengaluru/Bangalore at apna.

Are there any charges or deposits required while applying for the role or while joining?

No work-related deposit needs to be made during your employment with the company.

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Data Analyst

Infosys

Data Analyst

Infosys

Bengaluru/Bangalore

Not disclosed

Work from Office

Full Time

Min. 2 years

Job Description

Data Analyst

• 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 • 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. • 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.