Analytics Engineer

Details

• Own the Gold layer of the medallion architecture: define, version, and maintain business metrics and semantic models.
• Build and maintain executive dashboards and visualizations that communicate key insights effectively.
• Define and enforce best practices for data visualization, storytelling, and stakeholder adoption.
• Build and maintain data marts and semantic layers that serve multiple domains across Axios.
• Review and certify dashboards for accuracy, consistency, and adherence to standards.
• Collaborate with data engineering to ensure Silver layer tables meet business needs.
• Implement data quality tests, documentation, and lineage tracking to ensure trust in analytics outputs.
• Serve as a bridge to data science, ensuring feature stores and model outputs are well-documented and reusable.
• Contribute to the hub-and-spoke model: rotate through responsibilities such as intake, quality assurance, and participation in the analytics hub, while serving as a strategic partner to stakeholders, helping them shape the right questions and identify the decisions their data should inform.
• 2-5+ years of experience in analytics engineering, BI development, or data visualization roles.
• Strong proficiency in SQL and experience with dbt or similar transformation frameworks.
• Expertise in BI and visualization tools (Looker, Tableau, Power BI, Mode, etc.).
• Familiarity with modern data stack (Snowflake, BigQuery, Redshift, or equivalent).
• Experience designing and modeling curated datasets, semantic layers or metric stores, and data marts that drive consistent and reliable decisions.
• Understanding of medallion architecture and data governance best practices.
• Solid grasp of versioning, testing, and CI/CD practices for data pipelines.
• Strong data storytelling and presentation skills; ability to communicate complex concepts clearly.
• Comfort working in a hub-and-spoke model, balancing central standards with domain-specific consulting.
• Business users rely on analytics engineers for both accurate data models and clear, actionable dashboards.
• Stakeholders see insights delivered through compelling visualizations that drive decisions.
• Data engineers know what to build in Silver because requirements are clearly defined upstream.
• Data scientists can discover and reuse well-documented features and model inputs.
• Leadership sees fewer instances of unreliable or inconsistent dashboards and more decisions influenced by consistent, well-visualized data.
• You help establish analytics engineering as the cornerstone of the data-to-decisions lifecycle at Axios.
• 401(k) with employer match
• Robust PPO and High Deductible health insurance options on the Blue Cross Blue Shield network
• Employer Health Savings Account (HSA) contribution for the high deductible health plan option
• Dental and vision coverage
• Primary caregiver 12-week paid leave
• Birth-givers will have an additional 6-8 weeks depending on type of delivery, for a total of 18-20 weeks continuous leave
• Generous vacation policy, plus holidays
• One mental health day per quarter
• Annual learning and development stipend
• $100 monthly work-from-home stipend
• Tele-mental health services through Headspace
• OneMedical membership, including tele-health services
• Personal health advocacy resources through HealthAdvocate
• Inclusive fertility, hormonal health and family forming benefits through Carrot Fertility
• Access to the Axios “Family Fund”, which was created to allow employees to request financial support when facing financial hardship or emergencies
• Increased work flexibility for parents and caretakers
• Virtual company-sponsored social events
• A strong and positive work environment
• A commitment to an open, inclusive, and diverse work culture