Jobs at The Helper Bees

Leads the Data Engineering and Analytics team, setting strategy, managing intake and prioritization, mentoring staff, and ensuring reliable governed data products. Oversees Python, SQL, dbt, Airflow, and BigQuery pipelines; improves reporting, data quality, and operational processes; and guides predictive analytics and machine-learning initiatives. Partners with executives, product, operations, clients, and vendors while supporting monthly reporting, invoices, scorecards, and responsible handling of healthcare data and PHI.

Leads the Data Engineering and Analytics team, setting strategy, managing staff, prioritizing requests, and ensuring reliable governed data products. Oversees Python, SQL, dbt, Airflow, and BigQuery pipelines; improves reporting, invoicing, data quality, and operational processes. Guides predictive and prescriptive analytics initiatives, including forecasting, recommendation engines, and segmentation models, with responsible healthcare data governance. Partners with executives, product, operations, clients, and vendors while mentoring team members and driving AI-assisted development.

Lead and grow a Data Engineering & Analytics team to deliver governed, reliable data products. Own data pipelines, dbt models, BigQuery, Airflow, and Python-based tooling; manage intake/prioritization (Jira); advance analytics from reporting to predictive/prescriptive models; ensure PHI-safe practices, stakeholder alignment, and on-time delivery of reports, invoices, and analytics.

Supports revenue accounting, reconciliations, invoicing, deferred revenue, accounts receivable, monthly close, GAAP and ASC 606 compliance, reporting, variance analysis, audits, data-quality controls, and process improvements. Partners cross-functionally with Finance, Sales, Operations, Legal, and external stakeholders while managing revenue-related projects and producing audit-ready documentation and insightful reporting.