{"id":4029777,"url":"https://alion.io/job/fidelity-international-technical-data-analyst","title":"Technical Data Analyst","company":{"id":1819505,"name":"Fidelity International","domain":"fidelity.co.uk","url":"https://alion.io/company/fidelity-co-uk","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":9,"ghost_share":0,"stale_share":0,"repost_share":0.111,"time_to_fill_p50_days":18,"computed_at":"2026-11-10T06:52:35Z"}},"role":"Analytics","role_family":"Analytics","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Dublin, Ireland"],"countries":["IE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Cortex","optional":false},{"name":"Embeddings","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Prometheus","optional":true}],"status":"live","first_seen_at":"2026-11-10T18:16:02Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-10T18:16:02Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About the Opportunity\nJob Type: PermanentApplication Deadline: 17 November 2026Job Description\nTitle Technical Data Analyst\nDepartment Asset Management Platform\nLocation Dublin, Ireland\nLevel 6\nAbout Fidelity International\nFidelity International offers world class investment solutions and retirement expertise. As a privately owned, independent company, investment is our only business. We are driven by the needs of our clients, not by shareholders. Our vision is to deliver innovative client solutions for a better future.\nOur people are passionate, engaged, smart and curious, and we give them the independence and the confidence to make a difference. While we take pride in the excellence of our investment solutions and client service, we know we can always do better. We are honest, respectful and make tough calls, challenging the status quo to achieve better outcomes through innovation. Above all else, we always put our clients first.\nAbout your team\nAsset Management Platforms (AMP) is responsible for the design, engineering and delivery of technology solutions that support Fidelity's global Asset Management business. We partner with Investment Management, Asset Management Operations and Distribution teams across Europe and Asia to deliver modern platforms that enable investment professionals to make better investment decisions and improve client outcomes.\nThe Portfolio Management Tooling team develops and supports the technology ecosystem used by Portfolio Managers, Investment Directors, Quantitative Researchers and Investment Specialists across multiple investment capabilities, including Multi-Asset, Systematic Investing, Fixed Income and Equities. Our platforms underpin critical investment processes including research, portfolio construction, analytics, order generation, execution management and investment risk.\nAs Artificial Intelligence increasingly changes how portfolio management tools are developed, access to trusted, well-structured and governed enterprise data becomes critical. The Technical Data Analyst will help establish the data foundations required by the team's AI-enabled applications, working closely with Data Strategy, engineering and investment stakeholders.\nAbout your team\nAsset Management Platforms (AMP) is responsible for the design, engineering and delivery of technology solutions that support Fidelity's global Asset Management business. We partner with Investment Management, Asset Management Operations and Distribution teams across Europe and Asia to deliver modern platforms that enable investment professionals to make better investment decisions and improve client outcomes.\nThe Portfolio Management Tooling team develops and supports the technology ecosystem used by Portfolio Managers, Investment Directors, Quantitative Researchers and Investment Specialists across multiple investment capabilities, including Multi-Asset, Systematic Investing, Fixed Income and Equities. Our platforms underpin critical investment processes including research, portfolio construction, analytics, order generation, execution management and investment risk.\nAs Artificial Intelligence increasingly changes how portfolio management tools are developed, access to trusted, well-structured and governed enterprise data becomes critical. The Technical Data Analyst will help establish the data foundations required by the team's AI-enabled applications, working closely with Data Strategy, engineering and investment stakeholders.\nAbout your role\nThe Technical Data Analyst will provide the bridge between Portfolio Management Tooling and FIL's enterprise data capabilities, working closely with the Data Strategy team to make trusted, well-structured data available to AI-developed portfolio management tools.\nYou will combine strong data engineering and modelling knowledge with an understanding of modern AI data patterns, helping translate application and investment requirements into scalable, reusable data solutions.\nKey Responsibilities\nData Modelling & Integration\nDesign and develop AI-ready data models for enterprise and investment data used by AI applications, agents and front-office portfolio management tooling.\nDevelop data transformations and integration patterns that connect enterprise data sources and curated datasets with the needs of AI applications.\nDesign for scalability and reuse, ensuring common data capabilities can support multiple portfolio management tools and AI use cases.\nAI & Data Enablement\nWork closely with the FIL Data Strategy team and its Snowflake implementation to identify, shape and make the data required by AI-developed portfolio management tools readily available for consumption.\nSupport modern AI data patterns, including RAG, embeddings, vector search and the integration of structured and unstructured data.\nUse AI-assisted development and rapid prototyping to accelerate delivery while ensuring successful data solutions can be productionised in a robust and maintainable way.\nData Quality & Governance\nEmbed data quality, governance and lineage into data solutions, ensuring AI applications have access to trusted, controlled and traceable data.\nCollaboration\nCollaborate with AI engineers, investment stakeholders, Data Strategy and architects to translate business and application needs into practical data requirements and solutions.\nAbout you\nYou are a Technical Data Analyst with a strong background in enterprise data and a passion for making data accessible, trusted and usable by modern applications. You enjoy working across business, data and engineering teams and are interested in how Snowflake and modern AI data patterns can provide the foundations for AI-enabled portfolio management solutions.\nExperience\nCore Experience\nPractical experience with Snowflake, including enterprise datasets, data modelling, transformations and curated data layers.\nExperience designing and implementing ETL/ELT processes and data pipelines integrating data from multiple enterprise sources.\nGood understanding of data modelling, data quality, lineage and governance with a focus on creating trusted and reusable datasets.\nPractical experience using SQL and/or Python for data analysis, transformation and automation.\nExperience working collaboratively with data, engineering and architecture teams to translate application and business requirements into practical data solutions.\nUseful Additional Experience\nSnowflake Cortex and its use in AI-enabled data solutions.\nAWS data and analytics capabilities and integration with enterprise data platforms.\nAI data pipelines, RAG, embeddings and vector search.\nIntegration of structured and unstructured data for AI applications and agent-based solutions.\nAPIs and enterprise data integration patterns.\nAI-assisted development tools and techniques.\nExperience within Asset Management, Investment Management or Financial Services is desirable but not essential.\nPersonal Attributes\nPassionate about data, technology and the opportunities created by AI, with curiosity about emerging data and AI technologies.\nStrong analytical and problem-solving skills, with the ability to understand complex data landscapes and identify practical solutions.\nCollaborative and comfortable working across business, data, engineering and architecture teams.\nPragmatic and delivery-focused, able to move quickly from analysis and prototyping through to robust, production-ready solutions.\nComfortable working in an evolving environment, taking ownership 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