• Data Analyst

Industry IT/ Computers - Software
Location Maharashtra Mumbai
Experience Range 8 - 12 Years
Qualification BE
Not active

Functional IT Software - Application Programming / Maintenance
Job Description
About Us
“Quess IT Staffing is India’s largest IT staffing company with over 20 years of experience in staffing IT professionals in 300+ companies across levels and skillsets. Our 10,000+ associates deployed in 80+ cities and towns are proficient in over 500 technological skills. Our associates help enable cutting edge solutions some of the biggest names across industried. Quess IT Staffing is a division of Quess Corp Limited, India’s leading business services provider and largest domestic private sector employer. Quess Corp Limited is - ‘A Great Place to Work’ certified – a testament to our excellent culture, people, and processes.”
About Company
https://itstaffing.quesscorp.com/
Roles and Responsibility

·         Collecting and interpreting data

·         Analyzing results

·         Reporting the results back to the relevant members of the business

·         Identifying patterns and trends in data sets

·         Working alongside teams within the business or the management team to establish business needs

·         Defining new data collection and analysis processes

·         Proficient in building optimal data pipeline by close liaising with architect recommendations and best practices

·         Ability to work with large and complex data sets and have a good eye on meeting the non-functional business requirements such as automation principles, scalability and optimized data delivery

·         Working proficiency in building enterprise level ETL AND business analytics from wide variety of data sources (SQL and No-SQL) and big-data technologies

·         Working experience in build open source analytics tools (Tableau, Power BI is also preferred) by utilizing the data pipeline, address KPIs and operational efficiencies

·         Ability to implement actionable insights leveraging the pro-active or pre-emptive measures and algorithms around the data driven architecture

·         Work with data and domain experts to strive for greater predictive functionalities for T&F systems (legacy and modern cloud apps)

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