How much salary can I expect as a Business Intelligence Analyst in NTT India in Mumbai/Bombay?

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 Business Intelligence Analyst in NTT India in Mumbai/Bombay?

The candidate should have completed the required education and people who have 0 to 31 years are eligible to apply for this job. You can apply for more jobs in Mumbai/Bombay 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 Mumbai/Bombay 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.

How can I apply for this job?

Go to the apna app and apply for this job. Click on the apply button and call HR directly to schedule your interview.

What is the last date to apply?

The last date to apply for this job is . For more details, download apna app and find Full Time jobs in Mumbai/Bombay . Through apna, you can find jobs in 64 cities across India. Join NOW!

Business Intelligence Analyst

NTT India

Business Intelligence Analyst

NTT India

Mumbai/Bombay

Not disclosed

Work from Office

Full Time

Any experience

Job Description

Business Intelligence Analyst

- Analyze and interpret complex data sets to inform business decisions. - Collaborate with various departments to gather data and provide insights. - Develop and maintain dashboards and reports for performance tracking. - Utilize data visualization tools to present findings effectively. - Stay updated with industry trends and best practices in business intelligence. - Support decision-making processes through data-driven recommendations.