Analytics Engineer

🔥 16 hours ago

🇺🇸 United States – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 25%

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Myriad360

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏥 Healthcare

🏭 Manufacturing

Consulting • Healthcare • Manufacturing

Myriad360 is a worldwide technology leader specializing in data center modernization, cloud services, cybersecurity solutions, and artificial intelligence. The company offers tailored end-to-end IT infrastructure solutions, delivering powerful cybersecurity solutions, cutting-edge cloud services, and advanced AI technologies. Myriad360 enhances business efficiency and connectivity with modern infrastructure and networking solutions and provides agile, scalable IT solutions-as-a-service. With expertise across various industries including healthcare, finance, manufacturing, retail, legal, and media, Myriad360 helps businesses optimize their IT potential with a range of advisory, implementation, and lifecycle services.

📋 Description

• Report to the Director of Enterprise Data & Analytics • Develop governed data models and reusable data products supporting reporting and automations • Build and maintain dbt models and certified data marts for key business domains • Translate business requirements into clear data definitions, models, and measures • Establish consistent business logic for shared metrics and dimensions • Build and maintain data quality tests; investigate failures and trace issues to their source • Document model purpose, ownership, definitions, dependencies, and known limitations • Assess downstream effects before changing models, metrics, or source assumptions • Use Git and established review and deployment practices to release changes safely • Support datasets and semantic models used in reporting and applications • Improve models and workflows as business needs and source systems change • Communicate tradeoffs, dependencies, and delivery risks to technical and business partners • Identify and escalate security risks and contribute to remediation efforts • Perform other duties as assigned

🎯 Requirements

• Strong SQL skills and experience building production data models • Hands-on experience with dbt or a comparable transformation framework • Experience with a cloud data warehouse such as Snowflake, BigQuery, or Redshift • Strong experience designing dimensional models and data marts • Experience testing, documenting, and maintaining data models • Familiarity with Git and collaborative code review and release practices • Ability to investigate data discrepancies and explain their causes • Ability to work with business partners to clarify requirements and resolve differences in metric definitions • Strong communication, documentation, and follow-through • Must complete ongoing security awareness training and comply with company policies • Must identify and escalate security risks and contribute to remediation efforts

🏖️ Benefits

• Remote international work arrangement • Working hours aligned with US Eastern Hours, Monday to Friday, 9am–5pm • Inclusion-focused work environment • Accessible and engaged executive team • Ongoing security awareness training

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