Senior Business Intelligence Analytics Engineer

Jamf is a company focused on enhancing the Apple experience in the workplace. The Senior BI Analytics Engineer will design and deliver data models across the Jamf Data Platform, collaborating with various teams to ensure data accuracy and usability, while also contributing to AI-powered analytics.

Responsibilities:

• Design and build robust downstream data models using the Trusted Data Development workflow, covering range of analytics and integration use cases
• Design and maintain Snowflake semantic views with rich metadata annotation, business definitions, entity relationships, and column-level descriptions, enabling reliable AI-driven and natural language querying via tools such as Snowflake Cortex Analyst
• Partner with Data Platform and AI Architecture teams to build solutions that bridge structured analytics with natural language interfaces, making Snowflake data reliably queryable by AI agents and business users
• Set and uphold engineering standards writing maintainable, high-scale SQL and dbt code, leading code reviews, and acting as the code owner and BI reviewer for specific schemas
• Champion data quality and trusted data models implementing testing frameworks, driving data profiling, and partnering cross-functionally to resolve quality issues at their source
• Own one or more business stakeholder relationships, translating requirements into well-integrated data designs and ensuring raw data is accurately interpreted across business units, drawing on depth in at least two major data domains such as marketing, sales, finance product, or engineering
• Drive Data Platform optimisation identifying opportunities to reduce cost and complexity, contributing to the Data Catalog, and leading prioritisation of data governance issues
• Upskill analysts and business partners through code pairing, training, and documentation scaling data acumen and enabling self-service analytics across the organisation
• Lead multiple analytics projects from beginning to operationalization

Requirements:

• Minimum of 6 years in Data as an Analyst, Engineer, Scientist, or equivalent
• Minimum of 2 years managing the same data model system over time, extending it to satisfy multiple general business use case
• Minimum of 4 years working with a large-scale (1B+ Rows) Data Warehouse, preferably in a cloud environment
• Minimum of 3 years building and maintaining data models using dbt, with demonstrable experience across modelling layers, testing, and documentation
• Experience developing semantic views or semantic layer data models designed for LLM or AI integrations, including metadata standards, business glossaries, and column-level descriptions that support reliable AI-driven querying, using tools such as Snowflake Cortex Analyst, dbt Semantic Layer, or equivalent
• Experience building data solutions that support NLP-based querying, such as Text-to-SQL pipelines or conversational analytics interfaces that operate over structured data
• Significant hands-on experience is the primary requirement for this role. A Bachelor's Degree in Science, Technology, Engineering, Mathematics, or a related field is one route, but equivalent experience will be considered
• A combination of relevant experience and education may be considered
• Experienced in Scrum or Kanban
• General knowledge of Apple products and SaaS business models