Senior Analytics Engineer

MX is a fintech company on a mission to empower the world to be financially strong. We build technology that helps banks credit unions and fintechs deliver smarter more intuitive financial experiences to millions of people.

Like many startups weve navigated real growth challenges and weve come out stronger on the other side. Today MX is in a phase of renewed momentum and scale with a solid foundation and a clear vision for whats next. This is a place where thoughtful execution matters innovation is encouraged and individuals have real ownership over their work.

Our culture values curiosity accountability and impact. We give people the space to question assumptions design better solutions and help shape how the company grows. If youre looking to do meaningful work influence outcomes and grow alongside a company thats ready to move fast youll feel at home at MX.

Job Summary

As a Senior Analytics Engineer within the Operational Analytics department youll play a key role in transforming complex raw data into reliable and performant data products that power insights across MX. Youll 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 analyticssomeone 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 youll lead by example through mentorship documentation and process innovation helping elevate data practices across the organization.

Job Duties

• Data Stewardship:
  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.

• Data Quality and Governance:
  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.

• Data Accessibility and Democratization:
  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.

• Feature Store and Data Product Development:
  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.

• Collaboration and Mentorship:
  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.

• Continuous Improvement:
  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 MXs data ecosystem.

Requirements

• Education:
  Bachelors 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.

At MX we are a high-performance organization that thrives on trust and results. This role is based in Lehi Utah. We believe in empowering our team members to deliver exceptional outcomes while taking advantage of our incredible office space when it best supports their work. Our Utah office features onsite perks such as company-paid meals a sports simulator gym mothers lounge and meditation room and meaningful interactions with amazing people. We encourage team members to come together in the office to collaborate kick off key projects or strategize cross-functionally fostering connection and innovation.

MX is proudly committed to recruiting and retaining a diverse and inclusive workforce. As an Equal Opportunity Employer we never discriminate based on race religion color national origin gender (including pregnancy childbirth or related medical conditions) sexual orientation gender identity gender expression age military or veteran status status as an individual with a disability or other applicable legally protected characteristics. We particularly welcome applications from veterans and military spouses. All your information will be kept confidential according to EEO guidelines. You may request reasonable accommodations by sending an email to