Analytics Engineer

About the role

The Analytics / Data Engineer will build the foundation for scalable reporting, trusted metrics, and seamless data access across Confido, a platform used by over 200 brands in the consumer packaged goods industry.

Responsibilities

• Design, build, and maintain the 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.

Requirements

• 4-8 years of 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.

Qualifications

• Experience with data engineering tools and technologies.
• Knowledge of data warehousing and data management principles.
• Experience with cloud-based data storage solutions.
• Understanding of data privacy and security best practices.

Skills

• Data modeling and design.
• Data warehousing and ETL processes.
• Data analysis and reporting tools.
• Cloud computing services (AWS, Azure, Google Cloud).
• SQL and NoSQL databases.
• ETL/ELT workflow management.
• Agile development methodologies.
• Collaboration and communication skills.

Benefits

• Equity — own a piece of what you're building.
• Comprehensive health coverage with Aetna.
• Top-tier dental and vision coverage through Guardian.
• 12 weeks paid parental leave.
• Unlimited PTO, plus regular 4-day holiday weekends.
• 401(k) through Vestwell.
• Paid relocation.
• Full desk setup on day one (laptop, monitor, keyboard).
• $200 stipend for desk setup.
• Catered Friday lunches, team dinners on us, and unlimited coffee + snacks featuring our own brands.

Pay

Compensation range: $170K - $210K.

Schedule

Full-time position.