Lead Analytics Engineer

Role overview Take ownership of the analytics function as the first dedicated data hire at an IT services organization supporting global enterprise clients. This hands-on builder role covers pipelines, data models, metric definitions, reporting, and data quality that operations teams and leaders rely on to run the business. The position suits an experienced analytics professional energized by ownership, ambiguity, and the chance to build a trusted analytics capability from scratch.

Responsibilities - Own, maintain, optimize, and scale the cloud-based data architecture and the pipelines that others depend on. - Build, operate, and document data pipelines and models yourself, turning operational questions into trusted data products. - Establish consistent metric definitions and automate reporting that is currently assembled manually. - Determine analytics priorities, set standards, and push back when the underlying business question or data definition is unclear. - Build impactful dashboards and BI outputs that surface clear stories with data. - Maintain appropriate tests and controls so leaders can trust the numbers driving decisions.

Requirements - 5+ years of experience across analytics engineering, data engineering, or analytics, including meaningful experience building data models and pipelines. - Strong hands-on experience with Snowflake, including architecture, performance tuning, and optimization. - Advanced SQL skills and experience with integration or ETL tools such as Celigo, Fivetran, dbt, or custom API scripting. - Experience building dashboards in Tableau, Power BI, or Looker. - Familiarity with data from ERP systems like NetSuite, project management tools like Jira, and custom web applications. - Demonstrated ability to operate with limited structure, identify high-value work, set priorities, and move from problem definition through delivery independently.

Nice to have - Experience as the first or only data practitioner at a previous organization. - Familiarity with HEX as a BI tool.

Benefits and work setup - Salary range: $145,000 to $175,000 per year. - Comprehensive medical, dental, and vision plans. - 401(k) with employer match, company-paid life insurance, plus HSA and FSA options. - Employee assistance program, adoption assistance, and commuter benefits. - Free Coursera professional certifications, plus generous vacation and sick time with paid community service hours.