BI Engineer

AP MAX INC
13hRemote

About The Position

At Allia Health, the umbrella organization for Southend Pharmacy, Brello Health, and Woven, we don’t just follow industry trends—we redefine them. Our mission is to commoditize anti-aging solutions, making them affordable and accessible to the average consumer—not just the wealthy. By offering customized and cost-effective wellness products that follow cost-containment models, we aim to improve people’s quality of life and meet them wherever they are on their health journey. The BI Engineer will play a key role in enabling data-driven decision-making across Allia Health Group. This role focuses on transforming raw data into trusted, well-modeled analytics datasets and delivering high-quality dashboards and reports for business stakeholders. Working closely with Product, Operations, Finance, and Leadership teams, the BI Engineer will translate business questions into clear data models, metrics, and visualizations using modern BI and analytics tools.

Requirements

  • 2+ years of experience in BI engineering, analytics engineering, or a similar role
  • Strong SQL skills and experience working with robust analytical data models
  • Hands-on experience with dbt or similar data transformation tools
  • Experience building dashboards and reports using BI tools (Looker, Tableau, or equivalent)
  • Solid understanding of data modeling concepts (star schema, fact/dimension models)
  • Experience working directly with non-technical stakeholders
  • Strong attention to detail and data quality

Nice To Haves

  • Experience with Looker and LookML
  • Familiarity with cloud data warehouses (BigQuery preferred; AWS/Azure acceptable)
  • Experience supporting executive-level reporting and operational dashboards
  • Exposure to analytics best practices such as metric layers and semantic models
  • Interest in analytics enablement, self-service BI, and data literacy

Responsibilities

  • Design, build, and maintain analytics data models using dbt
  • Define, document, and standardize business metrics and KPIs
  • Partner closely with business stakeholders to gather requirements and translate them into analytics solutions
  • Develop and maintain dashboards and reports that provide actionable insights
  • Ensure data accuracy, consistency, and trust across dashboards and reports
  • Collaborate with Data Engineers to ensure source data is reliable and analytics-ready
  • Perform data validation, testing, and monitoring within the analytics layer
  • Maintain clear documentation for data models, metrics, and dashboards
  • Continuously improve dashboard usability, performance, and self-service capabilities
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