- Deliver insight and analysis using statistical tools, data visualization, and business use cases with the Product and Business teams

- Understand the existing database design (logical/physical) that support complex business processes/applications

- Author advanced BigQuery to effectively query and navigate across multiple data domains to produce data analysis findings.

- Able to use complex joins, subqueries, analytical functions to return clean, comprehensive, and relevant datasets

- Ability to write complex BigQuery functions in Javascript, Python to read extract JSON and other complex data structures

- Understand data repositories and data management processes to include source to target mappings, business and transformation rules and data consuming systems

- Collaborate with project team members to include other data analysts and technical/database leads providing insights into data issues driving business decisions and processing events.

- Structure large data sets to find usable information

- Direct and oversee complex issue resolution in a cross-team environment.

- Develop alternate solutions to solve data issues

- Troubleshoot and diagnose data quality issues and anomalies and offer data findings and analysis outcomes

- Self-learner and eager to understand data, business processes, concepts, and technologies

- Expertise in SQL with experience using data visualization and dashboarding tools (e.

- Tableau, Metabase, Google Data Studio, Clevertap, Python)

- Experience in delivering products as end-to-end data solutions (from data pipelining to analysis, presenting, and scalable adaption)