Note: The job is a remote job and is open to candidates in USA. Chief Detective is a growth-focused agency and deep brand partner for D2C brands, especially in e-commerce. They are seeking a Senior Analytics Engineer to own the data foundation, build AI workflows, and ensure reliable data for decision-making across the company.
Responsibilities
- Own our dbt models and the BigQuery data layer end to end: design, test, document, schedule, and ship clean, reliable data from staging through marts following best practices
- Build and maintain the pipelines that bring marketing, e-commerce, and fulfillment data into our warehouse, and stand up custom extractions when off-the-shelf connectors fall short
- Be the bridge between data and the business: turn questions from across the company into trusted KPI definitions, Looker Studio reporting, and reusable data models
- Model e-commerce data for forecasting and lightweight predictive work, including demand and revenue forecasting, regression, and correlation, where it drives real decisions
- Build and maintain the clean serving layer our AI workflows, agents, and internal web apps query, in place of direct API calls
- Use AI daily: write dbt models and debug pipelines with Claude Code and Cursor, and build practical AI workflows on Google's AI stack (Gemini and the Gemini Enterprise Agent Platform, formerly Vertex AI) for enrichment, QA, classification, and automation
- Help build our own web apps and products (React, Next.js) on the same GCP and BigQuery data layer
- Keep our GCP environment running safely (IAM, service accounts, secrets, serverless) and keep a pulse on new GCP and AI capabilities so we stay ahead of the game
Skills
- 5+ years in analytics engineering or data engineering on a modern data stack
- Strong SQL (joins, window functions, CTEs) with hands-on, production experience in BigQuery on GCP
- Proven dbt ownership in production: modeling, testing, documentation, and job scheduling in dbt Cloud or an equivalent setup
- Python proficiency for automation services, custom API integrations, and light modeling
- Hands-on experience with marketing and e-commerce analytics data: ad platforms, Shopify, and GA4-style event data
- Strong debugging ability: you can trace a 'this dashboard is wrong' issue back through reporting, models, pipelines, and source data
- Daily use of AI-assisted coding and agentic tools (Claude Code, Cursor, or comparable)
- Comfortable operating in a GCP environment (IAM, service accounts, secrets, serverless)
- A strong communicator who can work with non-technical and client stakeholders, translate business questions into durable data, and manage multiple priorities
- Solid Git, pull-request, and documentation habits (runbooks, metric definitions, system notes)
- At least one production workflow built on LLM APIs or comparable AI services (Gemini, Vertex / Gemini Enterprise Agent Platform, or similar), beyond prompt experimentation
- Front-end or product engineering experience (React, Next.js) and interest in helping build our web apps and products
- Statistical modeling and predictive analytics (regression, time series, correlation) on e-commerce or marketing data
- Looker Studio tuning with cost and performance awareness, deeper GCP ops (Cloud Run / Cloud Functions, Cloud Scheduler / Workflows, Pub/Sub), or data observability patterns (freshness SLAs, alerting, anomaly detection)
- Relevant certifications such as Google Cloud Professional Data Engineer
- Appetite to mentor contractors or junior developers and grow into broader ownership of the analytics function as the team scales
- Equivalent practical experience in place of a formal degree is fully respected
Benefits
- Group medical, dental, and vision coverage
- Short- and long-term disability
- Life insurance
- 401(k) eligibility after one year of service with matching contributions
- Paid time off
- Sick leave
- An Employee Assistance Program
Company Overview