Vacancy expired!
- Proficiency with SQL is required.
- R or Python is a plus Hadoop experience (MapReduce, Hive, Spark SQL) is a huge plus
- Strong product intuition, data analysis skills, and business presentation skills /storytelling
- 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
- Candidate should be self-motivated with a can-do attitude. Great teammate, have strong interpersonal skills, go-getter
- Work with Data Engineering to ensure timely and quality delivery of our data.
- 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.
- B.Sc. in the fields of CS, EE, Information Systems, Analytics, or similar academic areas
Vacancy expired!