Analytics Engineer

🔥 11 minutes ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

American Public Education, Inc. (APEI)

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1991

📚 Education

👥 B2C

Education • B2C

American Public Education, Inc. (APEI) is a mission-driven, for-profit higher education services provider that delivers affordable, innovative degree and certificate programs to working adults, military service members and veterans, nurses, and other professionals. Through its wholly owned subsidiaries — American Public University System (American Public University and American Military University), Rasmussen University, and Hondros College of Nursing — APEI offers online, on-campus and workplace education focused on career-oriented programs and public service communities. The company is headquartered in Charles Town, West Virginia and emphasizes accessibility and support for adult learners and the military community.

📋 Description

• Build, test, document, and maintain governed semantic models, certified metrics, dimensions, calculations, and reusable analytical assets. • Translate approved business capabilities and decision requirements into consistent analytical logic used across reports, dashboards, workflows, and AI-enabled capabilities. • Partner with Data Engineering to confirm that source data, transformations, and Gold Information Products support the intended analytical use. • Collaborate with Product Management, analysts, Governance Operations, and business subject-matter experts to clarify requirements and validate analytical meaning. • Define and certify measures, thresholds, targets, comparisons, warning conditions, and dimensional relationships. • Maintain automated quality tests, metadata, lineage, documentation, certification evidence, and release records for assigned assets. • Optimize analytical models and queries for performance, scalability, reuse, and efficient consumption across supported platforms. • Support controlled promotion of assets through development, testing, and production environments in accordance with release, security, and compliance standards. • Monitor production assets, investigate quality or performance issues, assess downstream impacts, and implement approved corrections. • Contribute to peer reviews, shared engineering standards, naming conventions, reusable patterns, and continuous improvement across the Enterprise Intelligence organization.

🎯 Requirements

• Experience developing semantic models, analytical data models, reusable metrics, dimensions, and business calculation logic. • Strong SQL skills and experience working with cloud data platforms, preferably Snowflake. • Experience with analytics engineering, data transformation, testing, version control, and deployment practices. • Working knowledge of dimensional modeling, data quality, metadata, lineage, access controls, and release management. • Ability to translate business and decision requirements into scalable, governed analytical assets. • Experience optimizing models and queries for performance, reliability, and reuse. • Familiarity with business intelligence and analytical consumption tools, preferably Power BI. • Ability to troubleshoot data, logic, performance, and downstream dependency issues. • Strong documentation, collaboration, and communication skills. • Experience working in a regulated or controlled environment is preferred, including SOX, FERPA, or similar compliance requirements. • Familiarity with dbt, Git, CI/CD, and AI-ready semantic design is preferred.

🏖️ Benefits

• Equal opportunity employer • Collaborate with Product Management, analysts, Governance Operations, and business subject-matter experts