MX-posted 1 day ago
Full-time • Mid Level
Hybrid • Lehi, UT
501-1,000 employees

As a Senior Analytics Engineer within the Operational Analytics department, you’ll play a key role in transforming complex, raw data into reliable and performant data products that power insights across MX . You’ll combine deep technical expertise in SQL, data modeling, and cloud-based data warehouses (such as Google BigQuery) with a strong sense of data stewardship, ensuring accuracy, accessibility, and trust in the analytics that drive business and product decisions. This role is ideal for a data professional who thrives at the intersection of engineering and analytics—someone who can architect and maintain scalable data models, enforce high standards for data quality, and collaborate closely with cross-functional partners to enable data-driven decisions. As a trusted internal expert, you’ll lead by example through mentorship, documentation, and process innovation, helping elevate data practices across the organization.

  • Design, build, and maintain data pipelines and models that transform raw data into reliable, production-ready datasets.
  • Manage and document data definitions, lineage, and transformations using GitLab or similar tools.
  • Establish and monitor data quality tests to ensure completeness, accuracy, and consistency.
  • Partner with business stakeholders, IT, and data engineering teams to define and enforce governance standards.
  • Develop intuitive, business-friendly data models and assets optimized for analytics.
  • Ensure the right data is available to the right people at the right time, empowering self-service analytics and operational reporting.
  • Curate and maintain high-value datasets and features in the Feature Store to support analytical and machine learning use cases.
  • Track usage metrics and continually optimize for performance and impact.
  • Partner cross-functionally with analysts, engineers, and product teams to define data requirements, identify opportunities for process improvements, and align on strategic priorities.
  • Provide mentorship and technical guidance to junior team members.
  • Stay current with emerging technologies, tools, and trends in analytics engineering, cloud computing, and data governance.
  • Lead or contribute to initiatives that improve scalability, efficiency, and reliability of MX ’s data ecosystem.
  • Education: Bachelor’s degree required, preferably in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative discipline.
  • Experience: Minimum 5 years of experience in analytics engineering, data engineering, or business intelligence roles, with a proven track record of designing and delivering reliable, high-performance data products at scale.
  • Technical Skills: Expert-level SQL proficiency (including advanced window functions, CTEs, subqueries, and query optimization).
  • Strong understanding of dimensional modeling, star/snowflake schemas, and SCD management.
  • Proficiency with cloud data warehouses (Google BigQuery preferred; Snowflake, Redshift, or Databricks acceptable).
  • Familiarity with programming languages such as Python for workflow automation and data quality checks.
  • Experience with modern data versioning and collaboration tools (Git, CI/CD pipelines).
  • Understanding of data governance, lineage, and cataloging tools (e.g., dbt, Dataform, or equivalent).
  • Professional Skills: Proven ability to collaborate cross-functionally and communicate complex data concepts to non-technical audiences.
  • Strong analytical and problem-solving skills, with keen attention to detail and system-level thinking.
  • Demonstrated adaptability and perseverance in fast-paced, evolving environments.
  • Commitment to quality, transparency, and building trust through reliable data products.
  • Track record of mentoring peers and contributing to the growth of data capabilities within an organization.
  • Our Utah office features onsite perks such as company-paid meals, massage therapists, a sports simulator, gym, mother’s lounge, and meditation room and meaningful interactions with amazing people.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service