Senior Business Intelligence Analytics Engineer

Jamf is seeking a Senior BI Analytics Engineer for a remote role focused on designing trusted data models across the company’s Data Platform. This position supports business intelligence, financial analytics, and product analytics through end-to-end data workflows—from source data to semantic views and AI-enabled querying. You will partner with cross-functional teams to ensure data is accurate, accessible, and قابل for advanced analytics across the organization.

Responsibilities

• Design and build robust downstream data models using the Trusted Data Development workflow to support a spectrum of analytics and integration use cases.
• Design and maintain Snowflake semantic views with rich metadata annotations, business definitions, entity relationships, and column-level descriptions to enable reliable AI-driven and natural language querying via tools such as Snowflake Cortex Analyst.
• Collaborate with Data Platform and AI Architecture teams to create 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 by writing maintainable, scalable 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 by implementing testing frameworks, driving data profiling, and partnering across functions to resolve issues at their source.
• Own one or more business stakeholder relationships, translating requirements into cohesive data designs and ensuring raw data is accurately interpreted across domains such as marketing, sales, finance, product, or engineering.
• Drive Data Platform optimization by identifying opportunities to reduce cost and complexity, contribute to the Data Catalog, and lead priorities in data governance.
• Upskill analysts and business partners through code pairing, training, and scalable documentation to foster self-service analytics across the organization.
• Lead multiple analytics projects from inception through operationalization.

Requirements

• Minimum of 6 years in data roles 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 cases.
• Minimum of 4 years working with a large-scale data warehouse (1B+ rows), preferably in a cloud environment.
• Minimum of 3 years building and maintaining data models using dbt, with demonstrated experience across modelling layers, testing, and documentation.
• Experience developing semantic views or semantic layer data models designed for 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 over structured data.

Technologies

SQL, dbt, Snowflake Cortex Analyst, Snowflake

Security and Privacy Requirements

• Participation in ongoing security training is mandatory.
• Adhere to established security protocols and data protection practices, including understanding relevant privacy regulations and reporting breaches.

Pay Transparency

Base pay range is USD 103,100 to USD 186,780 per year. Pay ranges can vary by hiring location and depend on role scope, location, budget, skills, experience, and qualifications. This framework supports fair, competitive pay and room to grow as you develop in the role.

What It Means to Be a Jamf

We are a team of free-thinkers, can-doers, and problem-crushers. We value humility and the relentless pursuit of knowledge. Our culture emphasizes selflessness and continuous improvement, driving both personal growth and collective progress. We unite around common goals while respecting individual approaches, believing fulfilled individuals create a thriving, vibrant workplace.

What Jamf Does

Jamf extends the legendary Apple experience people enjoy in their personal lives to the workplace. We believe the experience of using a device at work or school should feel the same and be as secure as using a personal device. With Jamf, customers are able to confidently automate Mac, iPad, iPhone and Apple TV deployment, management, and security – anytime, anywhere – to protect the data and applications used by employees in the workplace, students learning in the classroom, and streamline com