Senior Analytics Engineer, Intelligence

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Logo of Beeline

Beeline

501 - 1000 employees

Founded 1999

⚕️ Healthcare Insurance

🌍 Social Impact

💰 Private Equity Round on 2018-07

Healthcare Insurance • Human Services • Social Impact

Bee Able Staffing is a supportive services provider dedicated to assisting children, youth, and adults facing challenges and complex needs that inhibit their success. Operating within an anti-oppressive framework, they implement individualized care plans, behavioral plans, and safety plans tailored to meet the unique needs of each client. Their team comprises qualified professionals in the Human Services field, equipped with skills in Applied Behavior Analysis (ABA), crisis intervention, and clinical support, all focused on creating positive change for those they serve.

📋 Description

• Set the direction Own the long term direction of the Intelligence offering, spanning data models, analytics, and customer facing insights. • Partner with Product to build a roadmap for our data science offerings. • Provide insights and what-if analysis tooling for our C-Suite customers. • Establish the architectural principles, analytical standards, and ways of working that allow Intelligence to scale safely and credibly. • Design and evolve the data architecture and canonical data model that underpins Intelligence, building on an existing warehouse. • Develop and ship data science work: predictive signals, pattern detection, automated insights: that genuinely moves the needle for customers. • Design and deliver dashboards that customers trust and rely on. • Own analytics engineering end to end: modelling data, optimizing queries, versioning work, and reviewing changes before they reach customers. • Introduce tooling and processes that speed up development while improving quality and consistency. • Work hand in hand with Engineering to ship Intelligence features into the product. • Engage directly with customers to understand reporting needs, explain insights, and validate value. • Support Commercial and Operations teams with insights that underpin upsell, renewal, and confident decision making.

🎯 Requirements

• Strong applier data science skills: comfortable building predictive models, surfacing patterns, and shipping ML/AI features into production. • Excellent SQL and data modelling skills; can design, refactor, and optimize warehouse structures. • A record of delivering customer-facing dashboards (Metabase or similar) where accuracy and performance both matter. • Hands-on with query optimization, version control, and structured analytics development practices. • A record of helping define product direction or roadmap for a data product, intelligence layer, or analytics offering. • Comfortable being opinionated about what to build (and what not to build) and bringing others along with you. • Senior individual contributor with the credibility to set standards and lead through influence today: and the ambition to build and manage a team tomorrow. • Strong systems thinker, pragmatic problem solver, collaborative, respectful, and decisive when it counts.

🏖️ Benefits

• Competitive compensation and benefits offering

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