> Markdown version of [/jobs/ext/1679609-bi-analytics-engineer](https://www.wearedevelopers.com/jobs/ext/1679609-bi-analytics-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # BI (Analytics) Engineer - **Company:** Cleo Consulting - **Location:** Denver, CO, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, BigQuery, Data Infrastructure, Data Warehousing, Python (Programming Language), Machine Learning, Operational Databases, SQL Databases, Datadog, Google Cloud, Sql Optimization, Snowflake, Data Layers, Stripe, Terraform - **Published:** July 31, 2026 - **Apply:** https://www.dice.com/job-detail/fdf68b8c-8a41-47e5-a05d-7c94a948ab83 ## About the Role * 3 - 7 years of experience in analytics/data science at a high-growth company * Built data models and pipelines at a VC-backed startup or big tech company founded after 2005 (e.g., not FAANG, but companies like Uber, Lyft, Stripe, Datadog) * Experience partnering with product and operations teams on data needs * Experience working in highly regulated industries (e.g., fintech, shipping/logistics, insurance) dealing with large, complex data sets Education * Bachelor's in CS, Math, Engineering, or hard sciences Hard skills * Advanced SQL in complex production data environments * Hands on experience with common data warehouses (e.g., Snowflake, BigQuery, or Redshift) * Hands-on dbt experience for data modeling in production * Familiarity with Google Cloud Platform/BigQuery, Python, or Terraform ## Description * We are looking for a BI/Analytics Engineer with 4+ years of experience to own data modeling and pipelines at a rapidly scaling data company disguised as a healthcare platform. You'll join a lean but high-impact data team (currently just 3 people supporting 70+ engineers) and be responsible for building the foundational data layer that powers customer-facing reporting and future ML/AI products. This is a hands-on-deck role where you'll shape messy, complex data models into something reliable and scalable - working closely with product, operations, and engineering teams. The ideal candidate thrives in ambiguity, can quantify their impact, and brings the pace and ownership mindset of a high-growth startup. What you will be doing * Owning and maturing the data modeling practice - building critical models and pipelines that power customer-facing reporting and analytics * Scaling and cleaning up existing data infrastructure to support increasingly large and complex enterprise customer integrations * Partnering closely with product management and internal operations teams to understand data needs and deliver accurate, trusted outputs * Deep diving with engineers to understand complex production data and ensuring visualization platforms (Metabase) are accurate and available * Setting the foundation for future ML and AI products by improving data quality, governance, and pipeline reliability Visa Sponsorship Details * Open to visa transfers (e.g. OPT, H1B transfers) * Open to visa sponsorships (e.g. new H1B, TN) Ask candidates * Walk me through a project where you owned data modeling end-to-end at a high-growth startup. What was the business impact and how do you quantify it? * How have you partnered with product teams or non-technical stakeholders to translate complex data work into something they can act on? Interview * Head of Technical Recruiting (30 minutes) * SQL Technical Screen (1 hour) * Data Modeling Exercise (1 hour) * Product Team Member (1 hour) * Head of Engineering Interview (45 minutes) * Executive Who Interview w/ Co-Founder or Senior Leader (1 hour) ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Navigating Growth, Scaling Challenges, and Office Expansions with David Singleton, CTO at Stripe](https://www.wearedevelopers.com/videos/100362-navigating-growth-scaling-challenges-and-office-expansions-with-david-singleton-cto-at-stripe) - [Debugging in the Dark](https://www.wearedevelopers.com/videos/1658-debugging-in-the-dark) - [Making Data Warehouses fast. 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