Mood

America's neighborhood THC shop

Senior Analytics Engineer

Analytics EngineerAnalytics EngineerFull TimeRemoteTeam 51-200H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

1 day ago

Salary

$80K - $100K / year

Bachelor Degree4 yrs expEnglishBig QueryCloudSQLTableau

Job Description

• Design and maintain scalable data models that support reporting, experimentation, and machine learning • Own the semantic layer and ensure consistent metric definitions across dashboards, analyses, and data products • Develop and maintain transformation pipelines that turn raw data into clean, trusted analytics datasets • Partner with analytics and business teams to translate analytical needs into well-structured data models • Ensure the analytics layer is designed to support AI, experimentation frameworks, and predictive modeling • Build and maintain reliable data pipelines using modern transformation frameworks • Improve data freshness, performance, and scalability across the analytics stack • Implement testing, monitoring, and validation frameworks to ensure data quality and reliability • Work closely with data engineering to optimize warehouse performance and pipeline efficiency • Support ingestion and modeling of new data sources across product, marketing, CX, and operations • Power the dashboards and reporting used across marketing, product, operations, and leadership • Optimize the BI layer to improve performance, usability, and trust in analytics outputs • Reduce manual reporting by building reusable datasets and scalable reporting infrastructure • Partner with analysts to ensure analytics workflows are efficient and well-supported by the data layer • Design data models that support experimentation frameworks, predictive models, and AI applications • Collaborate with data science to operationalize model outputs into reporting and decision workflows • Ensure clean, well-documented datasets that enable faster development of machine learning and AI-driven products • Maintain clear documentation for data models, metrics, and transformation logic • Define and enforce standards for data quality, metric definitions, and modeling best practices • Ensure stakeholders can easily understand and trust the data powering business decisions • Contribute to a culture of data ownership, transparency, and high-quality analytics.

Job Requirements

  • 4–7+ years of experience in analytics engineering, data engineering, or business intelligence
  • Strong SQL skills and experience building scalable transformation pipelines
  • Hands-on experience with modern analytics engineering tools (dbt or similar highly preferred)
  • Experience working with cloud data warehouses (BigQuery strongly preferred)
  • Experience designing data models that power BI tools such as Looker, Looker Studio, Tableau, or similar
  • Strong understanding of dimensional modeling, semantic layers, and analytics data architecture
  • Experience building reliable data pipelines and implementing data testing/validation frameworks
  • Comfort working closely with analysts, engineers, and business stakeholders
  • Experience supporting experimentation, growth analytics, or product analytics is a strong plus
  • Familiarity with data structures required for machine learning or AI-driven analytics is a plus
  • Strong documentation habits and a commitment to building trusted analytics infrastructure.

Benefits

  • Remote work options
  • Professional development opportunities

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