Analytics Engineer

• Own Addi’s marketing data platform, pipelines, and integrations connecting data to Braze, AppsFlyer, GTM, Marketplace, and the App
• Make marketing data reliable, efficient, governed, and self-service using AI agents as the default way of working
• Map the marketing data platform end to end during the first 90 days
• Document sources, jobs, tables, and integrations for people and AI agents
• Identify pain points and share a prioritized roadmap
• Add tests and alerts to critical marketing pipelines
• Achieve at least 99% on-time data for key tables and integrations
• Reduce data incidents by 50% and identify root causes within two business days
• Ship at least two AI agents or agentic workflows into production by month six
• Automate recurring marketing data work such as audience requests, data-quality triage, and documentation upkeep
• Provide runbooks and improve deployed agentic workflows
• Reduce the cost or runtime of main marketing pipelines by at least 30% by month nine
• Remove unused or duplicated tables and jobs
• Maintain a catalog of marketing tables, events, and attributes with owners and approval rules
• Ensure marketing-tool data comes from official pipelines
• Collaborate with Marketing, Growth, Marketplace, technical, and non-technical stakeholders

• Proven experience writing and debugging complex SQL without AI
• Proficiency with joins at scale, window functions, CTEs, and incremental logic
• Ability to identify incorrect query results and explain why
• Experience building clean, reusable tables and datamarts
• Track record of building and operating ELT pipelines on a modern data platform
• Hands-on experience with dbt, Airflow or similar, Git, and code reviews
• Experience with SQL warehouses, notebooks, and scheduled jobs
• Understanding of catalogs, schemas, tables, and permissions
• Experience using tests, monitoring, and alerts; comfort with on-call and root-cause issue resolution
• Ability to automate and integrate with Python
• Experience building scripts and API integrations that others can run
• Daily experience using coding agents such as Claude Code, Codex, Cursor, or similar
• Ability to write specifications, delegate multi-step tasks to agents, and review results
• Experience building agents or agentic workflows chaining LLM calls with tools such as SQL, APIs, or MCP servers
• Understanding of agent failure modes, guardrails, and testing with real inputs
• Experience validating AI output and implementing checks
• Experience writing documentation and runbooks usable by teammates and AI agents
• Ability to translate Marketing, Growth, and Marketplace needs into appropriate data solutions
• Ability to manage an independent backlog and ship without close direction
• Clear communication with technical and non-technical people
• English is a must
• Desirable: marketing tools such as Braze, AppsFlyer, or GTM
• Desirable: reverse ETL or CDP experience
• Desirable: advanced pipeline tools, Spark performance tuning, or a data platform certification
• Desirable: LLM APIs, LiteLLM, or MCP servers
• Desirable: A/B testing and basic statistics
• Desirable: knowledge of data privacy rules, including consent, opt-out, and Habeas Data
• Desirable: AWS and fintech or regulated-industry experience

• Competitive compensation
• Equity in the company
• Benefits that go beyond the basics
• Opportunity to work remotely
• Growth opportunity
• Work alongside a world-class team
• Interview recording opt-out without impact on candidacy
• Feedback provided regardless of hiring outcome