Analyst Engineer

This is a fully remote position, open to applicants in Ireland.

📋 Description

• Take charge of and enhance the analytical data infrastructure within BigQuery.

• Evaluate and refine data structure, modeling, and management to ensure reliability, accessibility, and scalability.

• Work collaboratively with the Engineering team on infrastructure choices, performance optimization, and cost-effectiveness.

• Design and sustain dependable ETL/ELT data pipelines and models.

• Create consistent definitions, documentation, and quality control measures.

• Analyze data and develop dashboards for the Product, Delivery, and Commercial teams.

• Illustrate value to healthcare clients through impactful analytics and reporting.

• Ensure that the necessary data is captured from the source.

• Recognize data gaps and formulate reliable metrics for product adoption, clinical efficiency, and patient outcomes.

• Develop user-friendly self-service reporting tools.

• Investigate AI tools for secure access to and interpretation of trusted data.

• Proactively identify challenges, prioritize enhancements, and implement data best practices.

• Partner with client-facing teams to transform data into significant insights.

• Contribute to shaping Isla's data capabilities as the company expands.

⛳️ Requirements

• Solid professional background in data engineering or analytics engineering.

• Ideally, over 5 years of experience in data-centric roles.

• Strong, practical SQL skills, including complex queries, data modeling, and dataset exploration.

• Experience in constructing and maintaining ETL/ELT pipelines, encompassing data transformation, orchestration, and automation.

• Familiarity with cloud-based data platforms; preferably GCP and BigQuery, with AWS or Azure being beneficial.

• Robust expertise in data engineering, particularly in data pipelines, transformations, and automation.

• Python experience is especially advantageous.

• Experience in designing scalable data warehouses, analytical layers, and data structures.

• Proven track record in implementing testing, validation, monitoring, and data quality frameworks.

• Practical experience in analyzing complex datasets, developing metrics, constructing dashboards, and generating insights.

• Ability to autonomously manage projects and enhance the structuring, management, and utilization of data.

• Desirable: Experience with startup or scale-up data infrastructures.

• Desirable: Familiarity with version control, CI/CD, automated testing, and infrastructure-as-code.

• Desirable: Experience with Firebase, Firestore, or other NoSQL databases.

• Desirable: Experience with customer-facing analytics products.

• Desirable: Knowledge of healthcare data, sensitive information, or regulated environments.

• Desirable: Expertise in data governance, access controls, and security practices.

🏝️ Benefits

• Work from home - this is a remote-first position.

• Flexible working hours.

• Opportunity to work abroad for up to 90 days each year.

• 25 days of annual leave in addition to Irish bank holidays.

• A day off for your birthday and another significant day of your choice.

• Quarterly meals on us to enjoy with friends or family.

• Private medical insurance.

• Enhanced parental leave.

• Quarterly team social events based in London.

• Annual learning budget.

• Contribute to social impact through improved patient healthcare.

• Join a well-funded, rapidly growing health tech company.

• Experience real ownership and impact while helping to define how we expand the business.