Senior Analytics Engineer

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.

At Optum, we are reimagining health care through data, technology and innovation. We combine the power of advanced analytics, engineering and domain expertise to solve complex healthcare challenges at scale. Every day, our teams work to improve outcomes, reduce costs and create better experiences for patients, providers and consumers. As part of a fast-paced innovation and incubation team, you will have the opportunity to work on some of the most challenging and ambiguous data problems in the organisation, helping shape future products and capabilities before they enter formal delivery. We are seeking an experienced Senior Analytics Engineer who combines solid technical engineering capabilities with an investigative, hypothesis-driven analytical mindset. This role is ideal for someone who enjoys exploring complex datasets, identifying patterns and anomalies, validating business assumptions and transforming raw data into actionable insights. Rather than focusing solely on building production pipelines, this role sits earlier in the product lifecycle where experimentation, discovery and rapid iteration are critical to success. You will work closely with business stakeholders, product teams, data analysts and engineering teams to evaluate new opportunities, assess feasibility and translate ambiguous requirements into evidence-based recommendations. The successful candidate will leverage Databricks, SQL and Python to perform exploratory analysis across large and disparate enterprise datasets, producing reusable notebooks, visualisations and supporting artefacts that inform product direction and feature development. Careers with Optum offer flexible work arrangements and individuals who live and work in the Republic of Ireland will have the opportunity to split their monthly work hours between our Dublin or Letterkenny office and telecommuting from a home-based office in a hybrid work model.

Data Exploration & Analysis Investigate large, complex and often disparate data sources to uncover trends, patterns and business opportunities Perform data profiling, validation and quality assessment activities Clean, transform and prepare datasets for exploratory and analytical use Identify data anomalies, inconsistencies and potential business risks Validate assumptions and challenge hypotheses using data-driven evidence Map data flow across multiple layers of the application and across separate systems Experimentation & Discovery Apply an iterative test, learn and refine approach to problem solving Design and execute exploratory analyses to support product discovery and innovation initiatives Develop proof-of-concepts and analytical experiments that inform business decisions Translate ambiguous business questions into analytical approaches and measurable outcomes Support feasibility assessments for new products, features and strategic initiatives Stakeholder Engagement Partner with business analysts, product managers and subject matter experts during the ideation phase of initiatives Facilitate conversations that help clarify requirements, assumptions and success criteria Present analytical findings in a manner suitable for both technical and non-technical audiences Provide clear recommendations supported by quantitative evidence Analytics Engineering Develop maintainable SQL and Python notebooks within the Databricks