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Senior Analytics Engineer, Intelligence - Ireland Location

Key Facts

Remote From: 
Full time
Senior (5-10 years)
English

Other Skills

  • Systems Thinking
  • Communication
  • Problem Solving
  • Collaboration

Roles & Responsibilities

  • 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.

Requirements:

  • Own the long term direction of the Intelligence offering, spanning data models, analytics, and customer facing insights.
  • Design and evolve the data architecture and canonical data model that underpins Intelligence, building on an existing warehouse.
  • Work hand in hand with Engineering to ship Intelligence features into the product.

Job description

JoinedUp, a Beeline company is a high-growth technology company providing cutting-edge, mobile-first software to transform the way end hirers and agencies manage their mix of high-volume permanent and temporary staffing. Acquired by Beeline in 2021, JoinedUp is now part of a broader end-to-end suite of workforce management solutions.

Beeline pioneered the world’s first extended workforce platform to solve the complexities of managing the modern workforce. With a data set encompassing more than 30 million workers and over $700 billion in talent spend spanning more than 20 years, its intelligence-driven platform transforms how businesses engage, manage, and optimize external talent across more than 120 countries. Enterprises benefit from our unmatched experience and innovation, deeply seasoned experts, and industry-leading partner network to connect them to the remarkable talent within the global extended workforce. To learn more, visit beeline.com.

Purpose of the Position:

JoinedUp is looking for a hands on analytics leader to own the direction and delivery of its data science and ML offering: The Intelligence Pack. This role combines deep analytical engineering with strategic ownership: you will define how Intelligence is built, how it delivers value to customers, and how it evolves over time. 

This is the first dedicated data science hire at JoinedUp. You’ll set standards, shape the roadmap in partnership with Product, and deliver much of the work yourself. You’ll work closely with Engineering, Operations, and Commercial teams, and engage directly with customers where needed. There is no people management today, but you will act as the center of gravity of everything data at JoinedUp: the data model that underpins our platform, the data science that turns it into predictive value for customers, and the business intelligence later that makes those insights tangible day-to-day. This role is intended to grow with the Intelligence offering and has the potential to evolve into a broader leadership position as the capability and team scale.

Responsibilities:

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. 

Build the work 

  • 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. 

Drive value and parter-up 

  • 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. 

Skills

We’re looking for a combination of real technical depth across data science, analytics engineering, and BI, paired with sharp product instincts and the gravitas to set direction. 

Technical depth 

  • 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. 

Product instincts 

  • Product minded by default: you think about users, value, and trade offs as naturally as you think about schemas. 
  • 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. 

Leadership without authority 

  • Senior individual contributor with the credibility to set standards and lead through influence today: and the ambition to build and manage a team tomorrow.
  • Happy to be hands on in delivery while thinking ahead about how the capability should evolve. 
  • Strong systems thinker, pragmatic problem solver, collaborative, respectful, and decisive when it counts. 

Communication 

  • Clear, concise communicator of insights, trade offs, and technical decisions to product, engineering, commercial, operations, and customers; equally well. 
  • Comfortable engaging directly with customers on reporting and insights. 

Deep ML research experience is not required; we’re looking for someone with the judgement to apply techniques pragmatically and turn them into real, shipped value. The role offers autonomy today and scope to take on broader strategic leadership as the Intelligence offering scales. 

The Company: If you love more of a less-formal work environment, a competitive compensation and benefits offering - and have a winning attitude, Beeline is for you! Beeline’s Extended Workforce Platform connects all users – clients and their service providers who create the demand for work, suppliers who curate and employ talent, and the talent who produce outcomes through one cloud-based platform. As the world’s first Extended Workforce Platform, we have the deepest, most seasoned team of experts in the industry and are known for the great care we take with our clients, partners, and employees alike.

Our Vision is: Every person, given the right opportunity, is capable of greatness. Every business, given the right talent, is capable of superior outcomes.

Our Mission is: Our trusted platform connects businesses to the remarkable talent within the global extended workforce.

To learn more about Beeline, our solutions, our culture, and available positions visit: https://www.beeline.com/careers/ Please also visit https://www.joinedup.com to find out more about the JoinedUp approach. This is the division of Beeline this role is relevant to

This list of "Requirements and Responsibilities" is not intended to be limiting. The Company reserves the right to revise this job description based on the actual job requirements as varied from time to time.

Equal Opportunity Employer Minorities/Women/Veterans/Disabled

All emails from Beeline will be sent from an email address ending at “beeline.com". Should you have any doubts about the authenticity of an email, or other communication that is represented as coming from Beeline, please send an email to humanresources@beeline.com, before taking any action in relation to the correspondence, and certainly before providing any further contact information to that individual whatsoever.
 

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