Analytics Engineer

What You'll Do

• Design, build, and maintain our centralized data warehouse and analytics infrastructure.
• Develop scalable data models that power reporting, dashboards, operational workflows, and customer-facing data exports.
• Serve as the steward of Confido's data landscape, creating visibility into data ownership, lineage, and dependencies while ensuring data is discoverable, trustworthy, and easy to consume across the organization.
• Consolidate and standardize data models across multiple products and teams, creating a single source of truth for the business.
• Establish data engineering best practices, including data modeling standards, testing, documentation, monitoring, and governance.
• Partner closely with Engineering, Product, Operations, and Customer teams to define metrics and deliver actionable insights.
• Improve data quality, reliability, and accessibility across the organization.
• Enable self-service analytics by creating scalable datasets and semantic layers for downstream consumers.

What We're Looking For

• Experience building and operating modern data warehouses and analytics platforms.
• Strong SQL skills and experience modeling large datasets.
• Deep experience with distributed data processing, including designing performant ETL pipelines and optimizing large-scale data workloads.
• Experience with data pipeline orchestration, ETL/ELT workflows, and data infrastructure.
• Familiarity with modern analytics tooling such as Snowflake, dbt, or similar technologies.
• Ability to balance immediate business needs with long-term platform investments.
• Excellent communication skills and a track record of working cross-functionally with technical and non-technical stakeholders.