How much salary can I expect as a Lead Data Analyst in Quess Corp Limited 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 Lead Data Analyst in Quess Corp Limited in Mumbai/Bombay?

The candidate should have completed the required education and people who have 1 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!

Lead Data Analyst

Quess Corp Limited

Lead Data Analyst

Quess Corp Limited

Mumbai/Bombay

Not disclosed

Work from Office

Full Time

Min. 1 year

Job Description

Lead Data Analyst

The Lead Data Analyst will be responsible for leading a team of data analysts to extract, analyze, and interpret large datasets to drive business decisions. The role involves developing and implementing data analysis strategies, creating visualizations, and communicating insights to stakeholders. The ideal candidate should have strong skills in SQL, Python, statistical modeling, and data visualization, with experience in machine learning and predictive analytics.