[Hiring] Senior Analytics Engineer @Level Access

Role Description

Level Access is hiring a Senior Analytics Engineer to own the data products that power trusted reporting, business decisions, and AI experiences at Level. With an initial focus on GTM and revenue, you will translate commercial data into reliable models, certified metrics, and a governed semantic layer that people and AI agents can use consistently. You will work directly with senior leaders and data champions across the company.

Your focus is the analytics layer: business modeling in dbt, metric implementation, semantic definitions, and business-facing data products. You will partner closely on source requirements and upstream issues.

• You own the path from raw commercial data to certified metrics and KPIs that a person or an AI agent can act on.
• Own commercial data models.
• Design, build, and maintain dbt models on Databricks for go-to-market and revenue data.
• Turn business definitions into certified metrics.
• Maintain the semantic layer.
• Make commercial data AI-ready.
• Protect data quality.
• Enable predictive analytics.
• Deliver business-facing analytics.
• Raise engineering standards.

Qualifications

• 5+ years building production data models in analytics or data engineering, ideally with a GTM, RevOps, or SaaS revenue focus, including at least 3 years in dbt.
• Strong SQL. Databricks and Delta experience is preferred; Snowflake or BigQuery experience transfers.
• Hands-on knowledge of the Salesforce data model.
• Able to define and defend ARR and MRR, bookings, renewals, expansion, churn and downsell, net and gross revenue retention.
• Documented business definitions, resolved conflicting numbers across teams, and secured stakeholder approval before publishing metrics.
• Experience with model contracts, reconciliation, testing strategies, and freshness or anomaly monitoring for production analytics models.
• Git, code review, pull requests, CI and promotion through environments.
• Able to explain modeling decisions and tradeoffs to non-technical stakeholders.

Requirements

• Unity Catalog governance.
• CI/CD for Databricks.
• Semantic layers.
• Agent-facing data tools.
• Model-ready features for churn or propensity models.
• Power BI or Databricks AI/BI dashboards.

Benefits

• Annual base salary hiring range for this position is $92,000 - $100,000 for employees located in the United States and CA$86,000 - CA$130,000 for employees located in Canada.
• Eligible for incentive compensation in the form of a company bonus plan.
• Comprehensive and inclusive benefits including medical, dental, and vision insurance, life and disability coverage (STD/LTD), and a retirement match.
• Flexible paid time off, paid parental leave, a remote work stipend, and professional development reimbursement.

Application Process

If you thrive in a fast-paced environment and you are eager to make a significant impact in the field of accessibility, we would love to hear from you! Interested in immediate consideration? Please submit your resume to be considered for this role.

The anticipated application window is 40 days from the date job is posted. However, factors such as candidate flow and business necessity may require us to shorten or extend the application window. This position is a current open vacancy. Candidates who are selected for an interview will be notified of the hiring decision within 45 days following their final interview.

Level Access is committed to workforce diversity and is an Equal Opportunity Employer. We are dedicated to providing reasonable accommodations throughout the hiring process.

Level Access uses artificial intelligence (AI) tools to support and enhance our recruitment and hiring processes. These tools may assist with activities such as résumé screening, skills assessments, interview scheduling, and communication. These tools are designed to assist our recruiters and do not make final hiring decisions.

To learn more about how we collect and use personal data, please review our Privacy Statement and our Trust Center .