Data Analyst Engineer - Sustainability in Newtownards

At Eakin Healthcare, we put patients at the heart of everything we do. We are a family-owned global medical device company with a proud heritage of innovation and care. We deliver innovative solutions across Ostomy, Respiratory, and Surgical therapies, along with our Respond home delivery service. Founded over 50 years ago, we now have a team of over 700 dedicated people across three UK manufacturing sites, 12 international sales and distribution centres and export to over 60 countries. We have been recognised as a Great Place to Work! And we are proud to be named among the Best Workplaces in Healthcare and Best Workplaces for Women. At Eakin Healthcare, we are united by one mission: working together to improve lives - just like we have been doing for over five decades.

ABOUT THE ROLE

The Data Analyst Engineer will report to Eakin's Head of Environmental, Social & Governance (ESG) and be positioned within the Compliance, Finance & Procurement Department. The Data Analyst Engineer will support the development and delivery of trusted sustainability data products which enable the business in achieving our climate objectives. The Data Analyst Engineer will primarily be a data professional, working in close partnership with the Data Team through an agreed supply and trust relationship. In addition to delivering sustainability data products, the Data Analyst Engineer will also be asked to dedicate a portion of their time to engage with other stakeholders within the Compliance, Finance & Procurement Department. The role acts as the bridge between domain data requirements and technical data delivery, working collaboratively with the Data Team across DevOps ways of working, sprint planning, backlog refinement, solution design and development activity. This includes contributing to the design, build and maintenance of robust data structures, analytical datasets, semantic and dimensional models, and reporting solutions developed within Snowflake and associated analytics platforms. This role may be based from either Comber, Coleraine or Cardiff site.

KEY RESPONSIBILITIES

• Data Modelling & Analytics Engineering
  • Design, build and maintain robust analytical data models, including fact and dimension tables, that underpin trusted reporting and analytics.
  • Develop, optimise and maintain data pipelines, transformations and queries to ensure reliable, performant and scalable analytical datasets.
  • Own data quality across analytical layers, ensuring consistency, integrity, traceability and clear documentation.
  • Support the integration of data from operational source systems into analytical environments, enabling end-to-end data flows from source to insight.
• Reporting & Business Intelligence
  • Develop and maintain Power BI dashboards and reports that deliver clear, actionable insight aligned to business priorities.
  • Translate business questions and requirements into well-defined analytical metrics, measures and visualisations.
  • Ensure reporting solutions adhere to best practice in usability, performance, security and data governance.
  • Support stakeholders in interpreting insights, identifying trends, risks and opportunities, and using data to inform decisions.
• Analytical Tools & Applications
  • Design, build and maintain lightweight analytical applications and tools (e.g. Streamlit apps) that extend insight beyond standard reporting.
  • Develop interactive analytical workflows that enable deeper data exploration and scenario analysis.
  • Support the deployment, operation and ongoing maintenance of analytical applications, including integration with existing platforms and reverse-ETL processes.
• Stakeholder Collaboration & Enablement
  • Partner closely with business stakeholders to understand analytical needs and translate them into scalable, effective data solutions.
  • Act as a bridge between technical data teams and business users across both project delivery and business-as-usual (BAU) activity.
  • Enable confident use of data products by providing guidance, support and knowledge-sharing on reports, dashboards and analytical tools.
• Continuous Improvement
  • Proactively identify opportunities to improve data models, reporting performance and analytical workflows.
  • Apply and promote best practice in analytics engineering, data modelling and reporting standards.
  • Contribute to the ongoing evolution of the organisation's data platform, analytics capability and overall data maturity.
• Other
  • To adhere to the company's Equal Opportunities policy and Dignity at work policy in all activities and to actively promote equality of opportunity wherever possible.
  • To be responsible for your own health and safety and that of your colleagues, in accordance with the company's Health and Safety policy.
  • To adhere to the company's Quality policy and Environmental policy.

WHAT WE'RE LOOKING FOR

Essential

• Proven experience in an analytics engineering, data analyst or similar role, operating at the intersection of data engineering and analytics.
• Demonstrable experience designing and maintaining analytical data models, including fact and dimension tables, to support reporting and insight.
• Hands-on experience developing and optimising data pipelines, transformations and queries to produce reliable, performant analytical datasets.
• Strong experience delivering business intelligence and reporting solutions, including Power BI dashboards and reports, for non-technical users.
• Strong SQL capability and experience working across modern analytical data environments.
• Practical experience applying best practice in data modelling, data quality management and documentation.
• Experience translating business questions into analytical metrics, measures and visualisations.
• Experience supporting business-as-usual (BAU) reporting and analytics workloads in a production environment.
• Proven ability to work closely with business stakeholders to understand analytical requirements and translate them into effective data solutions.
• Ability to communicate complex data concepts clearly and confidently to non-technical audiences.
• Experience supporting users to interpret insights and use data products effectively in decision-making.
• Strong analytical and problem-solving skills, with attention to detail and a focus on data integrity.
• Ability to manage competing priorities across project work and BAU activity.
• A collaborative, proactive approach with a continuous-improvement mindset.
• A passion for tackling sustainability challenges such as climate change, waste and modern slavery.

Desirable

• Proficiency in building lightweight analytical applications (e.g. Streamlit or similar tools).
• Ability to develop interactive analytical workflows beyond standard dashboard reporting.
• Knowledge of reverse-ETL and operational analytics use cases.
• Familiarity with cloud-based data platforms and modern analytics stacks.
• Understanding of data governance, semantic modelling and enterprise reporting standards.
• Capability to integrate data from multiple operational systems into analytical environments.
• Comfortable operating within complex, matrix or multi-stakeholder organisations.
• Exposure to regulated or data-intensive sectors (e.g. manufacturing, healthcare).
• Contribution to the development and maturity of data and analytics capabilities.
• Degree (or equivalent) in a quantitative discipline (e.g. data, engineering, science, mathematics, economics).
• Demonstrated commitment to continuous professional development in data/analytics.
• Exposure to sustainability, ESG or regulatory reporting data (e.g. carbon accounting or supplier engagement).

KEY WORKING RELATIONSHIPS

Internal

• Primarily data professionals & Head of Environmental, Social & Governance, with collaboration within other teams such as Compliance, Finance & Procurement.

External

• IT Supplier

ADDITIONAL INFORMATION

• A willingness to complete a formal qualification in carbon accounting (5xdays).
• Willingness to occasionally travel between Eakin's manufacturing locations in Northern Ireland & Wales.

COMPETENCIES

• Tech Savvy: Anticipating and adopting innovations in business-building digital and technology applications.
• Manages Complexity: Making sense of complex, high quantity, and sometimes contradictory information to effectively solve problems.
• Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm.
• Optimizes Work Processes: Knowing the most effective and efficient processes to get things done, with a focus on continuous improvement.
• Collaborates: Building partnerships and working collaboratively with others to meet shared objectives.
• Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences.
• Instils Trust: Gaining the confidence and trust of others through honesty, integrity and authenticity.