Support business users in writing and reviewingrequirements documents, design documents, training materials, test scripts,test cases/scenarios, and test data.
Perform testing of reports, dashboards, data models,calculations, and transformations; document and update test results in testscripts on behalf of business users.
Participate in training programs and assist businessusers during end-user training sessions.
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Insights Generation - Analyze campaign performance, audience data, and digital channels to generate actionable insights that inform marketing strategies, targeting, and media optimization efforts.
Proposal and Report Building - Collaborate with cross-functional teams to develop data-driven proposals, presentations, and reports for internal stakeholders/clients.
SQL and Python Data Manipulation - Write and optimize SQL queries to extract data from BigQuery, apply Python to automate workflows and conduct advanced analytics.
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Manage survey data from different sources – face-to-face interviews, online and phone studies. This includes data import, storage, review and cleansing
Create and maintain continuous improvement actions
Review and enhance codes and data structure for more efficient work flow
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Manage survey data from different sources – face-to-face interviews, online and phone studies. This includes data import, storage, review and cleansing
Create and maintain continuous improvement actions
Review and enhance codes and data structure for more efficient work flow
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Use GenAI tools (like Cursor or Gemini) and basic system-thinking to automate routine metric reviews and alerts, freeing up your time for deeper threat investigations.
Use components of our Auto-Adaptive risk frameworks as tools to help in the operational validation and refinement of safety and risk rules.
Contribute to foundational data initiatives, such as metric onboarding, data pipeline cleanups, and architectural efficiency, ensuring the data we use for risk detection remains robust and reliable.
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Collaborate with Product and Operations teams to define system requirements, build data products, and improve and roll out product features to support business objectives.
Assemble large, complex data sets (Extract, transform and load) that meet functional / non-functional business requirements
Implement the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS technologies