Jennifer Benson

About Jennifer Benson

I specialize in transforming raw data into reliable, actionable insights—both for internal teams and increasingly, for customer-facing data products that deliver value directly to end-users. With 7+ years of experience in analytics engineering and data infrastructure, I\'ve evolved from building internal data foundations to architecting products that put data insights in the hands of customers.Recently, I\'ve been focused on developing customer-facing data products that transform complex data into intuitive, actionable insights for users. This work requires not just technical rigor—ensuring data accuracy, performance, and reliability at scale—but also deep product thinking about how customers will interact with and derive value from data.I\'m passionate about democratizing data access, whether that\'s for internal teams or external customers. At 98point6 Technologies, I launched a self-service analytics initiative that reduced ad-hoc technical requests by 30% while maintaining rigorous data quality standards. Now, I\'m applying those same principles to build data products that scale.My technical toolkit includes deep expertise in SQL and Python for data transformation, workflow orchestration platforms, and data visualization tools. But beyond the technical skills, I bring a full-stack mindset and bias for action—I don\'t hesitate to do whatever it takes to solve a problem end-to-end, whether that means optimizing query performance or diving into user feedback to improve the product experience.I thrive in ambiguous, high-growth environments where I can take initiative to create clarity and build data solutions that scale with the business—from internal analytics to products that customers rely on.Core Competencies: Customer-Facing Data Products | dbt Core | SQL & Python | Data Pipeline Architecture | Product Thinking | Self-Service Analytics | Data Visualization | Workflow Orchestration | ETL/ELT Design

Experience

1. Senior Data Engineer

   AcuityMD

   Jul 2023 — Present

   Architected production-grade data pipelines using dbt Core, Dagster, and BigQuery to transform terabytes of raw healthcare data into analytics-ready datasets powering analytics, reporting, and data productsPartnered closely with product managers to translate business and user requirements into scalable technical solutions and reusable data modelsLed the migration from legacy ETL to a modern data stack, implementing version-controlled dbt workflows with CI/CD to ensure reliable, timely, and auditable data deliveryDesigned high-performance dimensional data models that improved query efficiency, reduced compute cost, and increased usability for downstream analytics and product use casesBuilt and shared interactive Hex dashboards to communicate analyses, validate data quality with stakeholders, and enable self-service exploration across teams

Education

• University of Washington

  Bachelor of Arts - BA, Geography

  2013 — 2016

Skills

• Microsoft Excel
• Powerpoint
• Applied Mathematics
• Leadership
• Research
• Tableau
• Time Series Analysis
• Microsoft Access
• Gnu Octave
• Microsoft Word
• Python
• Matlab
• Data Visualization
• Html
• Microsoft Office
• Customer Service
• R
• Sql
• Css
• Data Analysis