- Build end-to-end automated pipelines: data pull → transformation → analysis → narrative → deck/report output
- Create automated insight workflows for ASO: keyword and conversion funnel insights, category and competitor monitoring, experiment ideas
- Create automated insight workflows for UA: channel/campaign performance, creative insights, efficiency diagnostics, scaling recommendations
- Create automated insight workflows for CRM: cohort/retention analysis, segmentation, lifecycle performance, churn and reactivation insights
- Work hands-on in BigQuery (including via MCP servers where relevant) to query, model, and validate data
- Use AI tools (e.g., Claude Code, Codex, Gemini CLI) to accelerate SQL, analysis, visualization, and narrative generation while keeping quality high
- Integrate data via APIs and orchestrate workflows using automation tools like n8n
- Produce clear, decision-ready storytelling: concise takeaways, charts with context, and recommended actions
- Add guardrails: QA checks, validation rules, and human-in-the-loop review for critical outputs
PythonSQLArtificial Intelligence+10 more