Job Location: Bangalore/Bengaluru

We’re Nagarro.

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (10000 experts across 26 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!

REQUIREMENTS:

• Must have experience with Data Analytics, R, SQL, Excel & other tools- SAS/SPSS
• Perform business analysis using Data with the help of Excel and other tools (SAS, SPSS, etc.)
• Good understanding of Customer Analytics, Operational Analytics & Marketing/Sales Analytics.
• Familiarity with using Linear and Logistic Regression using R/Python. Shall be responsible for handling and integrating large volumes of data from various sources.
• Also, be responsible for mining the data and coming up with actionable insights
• 2+ years of experience working as a Data Analyst
• Strong Mental Aptitude / IQ is the most essential criterion for eligibility
• Advanced knowledge of a query language SQL/MySQL/T-SQL is a must
• Experience with Python/R and advanced knowledge of MS Excel is a must
• B. Tech/ B.E. /M. Tech. Graduate in Computer Science or related fields
• Experience with clickstream data is strongly desired

RESPONSIBILITIES:

• Writing and reviewing great quality code
• Determining and implementing design methodologies and toolsets
• Enabling application development by coordinating requirements, schedules, and activities.
• Analyzing the project’s requirements and the ability to convert said requirements into technical documents, design, and code.
• Implementing design methodologies and toolsets
• Writing well-designed, defect-free code which scales well and follows all best practices and guidelines.
• Conducting deep level analysis to identify the root causes to systematically resolve issues.
• Following all defined software configuration management best practices
• Reviewing code to identify issues as well as deviations from best practices.
• Addressing issues promptly, responding positively to setbacks and challenges with a mindset of continuous improvement

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