Senior Analytics Engineer, Intelligence

Beeline

Hands on analytics leader owning the data science and ML offering for JoinedUp. Define the direction and deliver value through analytical engineering and strategic ownership.

Posted 6/30/2026full-timeRemote • 🇮🇪 IrelandSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data science, predictive modeling, and analytics engineering, with a strong focus on delivering customer-facing insights and dashboards. Proven ability to establish architectural principles and optimize data models to support scalable intelligence offerings.

Highest-signal resume keywords

Data Science SkillsSQL ProficiencyDashboard DevelopmentAnalytics EngineeringProduct Roadmap Definition

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Predictive ModelingData ModelingQuery OptimizationMachine LearningAnalytics Development Practices

Soft Skills

CollaborativeDecisivePragmatic Problem SolverInfluential LeadershipCustomer Engagement

Tools & Technologies

MetabaseData WarehouseVersion Control

Industry Keywords

Data ArchitectureCustomer InsightsAnalytics StandardsIntelligence OfferingC-Suite Reporting

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

Competitive compensation and benefits offering