Description
In this role, you will perform the following: - Own external reporting, from instrumentation QA to business logic updates to report generation and validation. - Building the daily quality pipeline, creating reporting to automatically monitor for regressions and coordinating with instrumentation leads to surface data quality concerns early in the development cycle. - Perform root cause analysis for identifying anomalous data points. - Serve as an internal liaison to other teams to support knowledge sharing of our data and best practices for its use. - Build visual reports and dashboards using solutions such as Tableau, Looker, Jupyter, etc. - Work with large volumes of data, extract and manipulate large datasets using tools such as Spark SQL. - Communicate complex concepts and the results of the analyses in a clear and effective manner to senior management.
Minimum Qualifications
4+ years experience with SQL Basic understanding of Python for pipeline development Strong product intuition, data analysis skills, and business presentation skills /story-telling Capable of working with large sets of data in a variety of tools including internal app behavioral data, and industry-standard tools Delivery-oriented, able to lead and execute analysis efforts from start to finish Ideal B.Sc. in the fields of CS, EE, Information Systems, Analytics, or similar academic areas
Preferred Qualifications
Candidate should be self-motivated with a can-do attitude. Great teammate, have strong interpersonal skills, go-getter
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