Analytics Engineer
About The Position
As an Analytics Engineer, you'll sit at the intersection of engineering and analytics, helping build Clair's data pipelines, modeling clean and trustworthy data sets, and collaborating with stakeholders across the organization (Product, Operations, and Finance, to name a few). You'll play a key role in improving our data quality and contributing to our data architecture as it evolves. Your primary stakeholder will be the analytics team. Partnering with data analysts and data scientists, you'll help design, develop, and deliver well-modeled, cost-efficient data models that power the analyses driving decision-making at Clair. Some examples of what you'll do… Model data from our products into flexible, trusted analytic reporting tables Support the data science team by building model feature pipelines Help build new data management processes to maintain the integrity of production reporting environments Help identify and optimize Snowflake computing cost bottlenecks Contribute to and help maintain a code style guide across our dbt project(s)
Requirements
- 3-4 years of professional experience in the data analytics field
- Strong SQL proficiency
- 1-2 years hands-on experience modeling data with dbt in a production environment
- Familiarity with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift)
- Familiarity with cloud data loading tools (e.g., Fivetran, Airbyte, Airflow)
- Understanding of data modeling concepts (dimensional modeling, Kimball, etc.)
- Experience with a scripting language like Python or R
- Comfortable working in — or excited to work in — a high-growth start-up environment
- Strong communication skills, with the ability to translate technical work into clear business value
Responsibilities
- Contribute to Clair's ELT pipeline and help apply best practices in modeling, testing, documentation, and observability
- Build and maintain data models using dbt that power analytics and business decisions
- Ingest and model data from new source systems to incorporate them into the data warehouse
- Partner with analysts, engineers, and business stakeholders to help define metrics, data definitions, and governance standards
- Support data governance, access control, and monitoring efforts across the data stack
- Identify data quality issues and help resolve root causes
- Contribute ideas and input as we scale the data function
- Occasionally support the analytics team with ad-hoc or high-priority analysis
Benefits
- Medical, Dental, & Vision Coverage, with option to extend to your family
- Fully-paid parental leave
- Company-sponsored 401k, HSA, and FSA
- Unlimited vacation for salaried roles, generous PTO for hourly roles
- Work from home setup allowance
- Access to your earnings every day on Clair
- Company-sponsored short-term and long-term disability insurance
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
