Job Description An employer is looking for a Data Analyst to join their team in HITEC City, Hyderabad, India. This team is the Commissions team, responsible for the Sales Compensation Management System that determines commissions payouts for various sales channels (such as retail/care, business, 3rd party sellers). They are moving towards a lot of self-service channels for customers, in lieu of direct engagements with their frontline retail/care sales. With the new self-service processes, they want to compensate the sales teams based on prior engagements or referrals to self-service flows. To support this, they are building out a framework from data integration to associating all the relevant data points both old and new to enable that. This is an AWS Oracle RDS application (Oracle 19c) and need a team that has strong database design and development experience. The team is looking for Database Developers, Data Engineers, and Data Analysts to support this initiative. They need functional analysts for design and testing, supported by database developers to implement the new. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com .     To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ . Skills and Requirements Analyze large data sets, generate insights supporting business objectives  Collect, clean and preprocess data from various sources to ensure data integrity and accuracy  Analyze data sets to discover trends and patterns  Analyze data for data types, conversion challenges and source to target mappings  Create the necessary functional documentation for the database developers, data engineers to consume  Perform tests on the work done by database developers and data engineers  Create sample data sets, test for technical and functional requirements  Own the test environment and do the necessary updates to meet testing needs  Create the necessary documentations on test cases and results. Provide necessary feedback to technical team members  Be the gate keeper to meet features and SLAs.  Oracle database data  Athena for writing queries/testing/seeing results  Familiarity with AWS, S3 buckets  SQL Queries  General data quality experience ensuring data type is correct, if there are too many nulls in a table updating the function, ensuring data is correct and in the right place null We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to HR@insightglobal.com.