Senior Data Analyst

Description
Qualitest, the largest quality assurance company in the world, is recruiting employees for a localization/software-testing project in partnership with one of the world’s largest tech providers.
In our pursuit of ensuring Client Success and Satisfaction, we are looking for a passionate Data Analyst. The successful candidate has meticulous attention to detail and will turn data into information, information into insight and insight into improvements on the system building business value. A data driven professional with an eye for detail (preferably with DA/BIA/BA background) to join a fast-paced environment with the RefX Data Analytics team in Bengaluru.
ResponsibilitieSkills
Detail-oriented, organized, and able to work on multiple projects over the course of a day.
Advanced knowledge of MS Excel / Google Spreadsheets(formulas, functions).
Good knowledge of JavaScript, Google Data Studio /Tableau / PowerBI, SQL.
High Proficiency in English.
Demonstrated ability to work independently.
Excellent analytical skills, logical problem solving skills.
Creative, out-of-the-box thinking.
Experience troubleshooting complex problems.
Meticulously high level of attention to detail and accurate documentation of information.
Performs well under pressure.
Excellent interpersonal, communication and listening skills
Team player with ability to work well in a cross-functional team environment
High level of cultural sensitivity and awareness to work effectively with diverse teams.
Shift:

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Flexible timings IST, CET
Requirements
5-8 years experience in Data Analytics.
Interpret data, analyze results using analytical tools and provide ongoing reports and corrections to the data.
Identify, analyze, and interpret trends or patterns in complex data sets.
Filter and “clean” data by reviewing performance indicators to locate and and propose corrections in the database.
Locate and define new process improvement opportunities.
Work with engineering teams to develop and implement tools for improving data collection and analysis of data, data analytics and other strategies that improve the processes.
Work with management to prioritize business and information needs