Senior Analytics Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $145k - $155k / year

⏰ Full Time

🟠 Senior

📊 Analytics Engineer

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Instructure

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2016

📚 Education

☁️ SaaS

🤖 Artificial Intelligence

Education • SaaS • Artificial Intelligence

Instructure is an educational technology company that provides various digital tools and platforms to enhance and streamline teaching and learning experiences across different educational levels, from K-12 to professional education. Central to their offerings is the Canvas Learning Management System (LMS), which serves as a comprehensive hub for educators and students to connect and communicate effectively. Instructure also offers additional tools such as Canvas Studio and Canvas Catalog, as well as data-driven insights through Intelligent Insights that utilize AI to improve educational outcomes. The company's products are designed to support evidence-based decision-making, optimize technology usage, and foster impactful results in educational environments.

📋 Description

• Design, build, and maintain dimensional models in dbt and Snowflake for reporting and analysis across Finance, Operations, Product Management, and other business functions • Translate business questions into clear data requirements by working with senior leaders • Own the full model lifecycle, including source ingestion, staging, intermediate and mart layers, tests, documentation, and deployment • Set and enforce modeling standards, including naming conventions, grain definitions, slowly changing dimensions, and testing practices • Tune Snowflake performance and cost through materialization choices, clustering, and warehouse sizing • Partner with data engineers and business systems teams to ensure upstream data is suitable for modeling • Review pull requests and mentor analysts and engineers • Explain data definitions and tradeoffs to non-technical audiences and challenge requests that could produce misleading metrics • Ship production models within the first 90 days • Own a major data-model domain within six months • Shape modeling standards and improve team efficiency within a year

🎯 Requirements

• 5+ years of experience in analytics engineering, data engineering, or a similar role • Bachelor's degree in Computer Science, Information Systems, Finance, or another quantitative field is preferred • Deep hands-on experience with dbt, including macros, packages, incremental models, snapshots, and testing • Strong Snowflake skills, with advanced SQL and a good sense of performance and cost • Experience designing dimensional models, including star schemas, facts, dimensions, and conformed dimensions • Solid data architecture knowledge, including layered modeling, grain, lineage, data contracts, and maintainable project structure • Working knowledge of business functions such as finance, sales, operations, and product • Ability to discuss business issues with directors, VPs, and executives and turn discussions into data solutions • Strong written and verbal communication skills • Experience with Git-based workflows and CI/CD for data projects • Experience modeling data from CRM and business systems such as Salesforce is nice to have • Familiarity with Airflow or dbt Cloud is nice to have • Experience with Tableau, Looker, or Power BI is nice to have • SaaS or education technology company background is nice to have

🏖️ Benefits

• Competitive compensation • Full-time employee ownership program • Flexible work culture • Generous time off, including local holidays and annual “Dim the Lights” period in late December • Comprehensive wellness programs and mental health support • Learning and development resources • Professional development tools • Tuition reimbursement • Technology and tools needed to do your best work • Motivosity employee recognition program • Inclusive, supportive culture • Background check and identity verification as part of the hiring process

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