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Test mobile applications: create and execute test plans, use Charles Proxy for network debugging, track issues with Jira/Asana/TestRail, work independently and collaboratively, communicate effectively, and demonstrate passion for games.

Lead design and delivery of analytical products, source-of-truth datasets, semantic layers, and metric frameworks. Define and validate metrics, dimensions, data quality checks, and reporting standards. Build and maintain SQL and Python workflows, dashboards, and self-service analytics. Partner cross-functionally to resolve reporting issues, perform ad hoc analysis, ensure data governance, and mentor team members on analytics and metric governance.

Perform hands-on testing of mobile games on iOS and Android, write test plans, log and communicate bugs, work independently, and apply strong attention to detail and communication skills.

Senior front-end developer role: design and implement visually aesthetic UIs, identify and fix front-end bugs and performance issues, write unit tests and documentation, integrate front-end with APIs, and apply UX/UI and basic SEO principles while collaborating with team members.

Lead mobile testing efforts as a POD Lead: create and execute test plans, use Charles Proxy and GameBench, manage a small team, work independently, maintain Jira and TestRail, create campaign boards, and support/lead in the absence of the Lead. Strong communication and passion for games required.

Handle inbound customer emails by providing accurate, timely responses and resolutions. Log interactions in CRM/ticketing systems, coordinate with internal teams, follow SLAs, and meet metrics like email TAT, quality, and satisfaction.

Lead ETL and data warehouse testing: create and execute ETL test plans, validate mappings/transformations/loads, perform metadata, completeness, accuracy, transformation and quality testing, reconcile source and target data using SQL, coordinate onshore/offshore teams, and report status for enterprise e-commerce projects.

Develop and maintain CI/CD pipelines for device software, automate tasks with Python and AWS, manage Jenkins (Groovy), collaborate with development/build teams, and troubleshoot pipeline issues.

Lead end-to-end analytical projects: analyze complex datasets, build scalable SQL and Python (Pandas) solutions, create dashboards and reporting frameworks, perform root-cause analysis, gather business requirements, present insights to senior stakeholders, and mentor junior analysts to establish best practices.

Build and maintain ETL/data pipelines, write optimized SQL queries for analysis and reporting, process large datasets, provide clean reliable data to stakeholders, and collaborate with cross-functional teams on data requirements.