What are the responsibilities and job description for the Senior Analytics Engineer position at MX Technologies, Inc.?
Life at MX We are driven by our moral imperative to advance mankind - and it all starts with our people, product and purpose. We always carry a deep sense of drive and passion with us. If you thrive in a challenging work environment, surrounded by incredible team members who will help you grow, MX is the right place for you. Come build with us and be part of an award-winning company that’s helping create meaningful and lasting change in the financial industry. Job Summary 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. 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 MX’s data ecosystem. Requirements 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. At MX, we are a high-performance organization that thrives on trust and results. This role is based in Lehi, Utah, with flexibility for both in-office and remote work. 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, massage therapists, a sports simulator, gym, mother’s 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 hr@mx.com. To review our data use practices, visit our Applicant Privacy Notice. MX is on a mission to improve the financial lives of everyone. We believe each of us has a moral imperative to use our time and talents to change the world for the better. We are creating innovative software and partnering with financial institutions and fintech companies to bring financial freedom to the lives of individuals, families, and communities. MX is well positioned as a unified data platform -- powering award-winning financial management, online/mobile banking and innovative wealth management tools. MX is an equal opportunity employer. We consider individuals seeking employment without regards to age, race, color, gender, sexual orientation, religion, military or veteran status, or any other characteristic protected by federal, state, or local laws. We particularly welcome applications from veterans and military spouses. All your information will be kept confidential according to EEO guidelines.