At Weave, we’re building a data-driven culture that empowers every part of the business, and we’re looking for a Senior Analytics Engineer to be a key player in making this vision a reality. As a core member of our Data and Insights team, you’ll design and optimize robust data models that drive critical insights across departments, ensuring our data is structured in a way that’s intuitive and accessible for end users.
In this role, you’ll be instrumental in translating complex business challenges into robust data solutions, directly enabling strategic decision-making and driving business growth. We’re looking for someone who not only brings technical competence but also has a strong customer focus, an eye for detail, and experience enabling self-serve analytics across an organization.
This position will be hybrid, requiring 3 days in our Lehi, UT headquarters.
Reports to: Manager of Data Operations
Data Model Development & Optimization: Develop and refine data models to provide accurate, reliable data for analytics, data science, and reporting purposes. Design and build data transformation pipelines, dimensional models, data marts, and data aggregation layers, often utilizing tools like dbt.
Collaborative Partnership: Work closely with analysts, other engineers, and stakeholders across the business to build models that address both technical and business requirements. Build trust and confidence in the data that you and your team transform and produce.
Self-Serve Analytics for a Business Domain: Improve documentation and curate data to empower team members across the organization to self-serve insights. Contribute to building data warehousing and data modeling strategy and roadmap. Enable specific use cases for your assigned business domain(s).
Partnership with Business Leaders: Consult with business leaders to define project scope and architecture, and translate complex business requirements into accessible data structures that drive analytics and decision-making.
Insight-Driven Support: Assist analysts as they explore and draw insights from data, facilitating actionable findings through a well-structured data framework.
AI/ML Deployments: Collaborate with data scientists on our nascent AI workloads by helping design, train, deploy, and maintain predictive models.
BI Platform Development & Maintenance: Design, build, and maintain compelling dashboards and interactive workbooks in platforms like Sigma to visualize key business metrics, providing accessible and actionable insights.
Bachelor's degree in a quantitative field such as Computer Science, Information Systems, Data Science, Statistics, Economics, Business or a related discipline with 5+ years of work experience as an analytics engineer, data engineer, or similar role, with a proven track record of successful data modeling and data warehouse management OR a quantitative Master’s degree one of those fields and 3+ years of work experience.
Strong understanding of dimensional modeling, data warehouse structures, and query optimization.
Proficiency in SQL for querying and manipulating data.
Creative problem solver who thrives in a collaborative environment, working cross-functionally to design solutions that meet business and technical needs.
Understanding of data governance and documentation best practices.
Ability to quickly adapt to evolving requirements, with a drive to continuously improve and expand your scope of impact.
Strong analytical and problem-solving skills with a keen attention to detail.
Excellent written and verbal communication skills.
Advanced SQL skills, including advanced query optimization and troubleshooting, with a knack for making complex queries efficient and user-friendly.
Experience with dbt and cloud data warehouses (e.g., Snowflake, BigQuery, Redshift).
Experience with data orchestration using Dagster or similar solutions.
Exceptional communication skills with an ability to translate complex technical concepts into clear, actionable insights for non-technical stakeholders, bridging the gap between data and business needs.
A proactive attitude toward identifying opportunities for process improvements and driving initiatives that enhance the organization’s data capabilities.
Solid understanding of business concepts and KPIs, with a proven ability to design data solutions that align with broader company objectives.
Familiarity with building scalable data models that can grow and adapt as business needs evolve, ensuring long-term usability.
Familiarity with version control systems (e.g., Git).
Experience with scripting languages like Python for data manipulation or automation.
Prior hands-on experience with Sigma or other cloud-based BI platforms (e.g., Tableau, Power BI, Looker).
Weave is an equal opportunity employer that is committed to fostering an inclusive workplace where all individuals are valued and supported. We welcome anyone who is hungry to learn, problem-solve and progress regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other applicable legally protected characteristics. If you have a disability or special need that requires accommodation, please let us know.
All official correspondence will occur through Weave branded email. We will never ask you to share bank account information, cash a check from us, or purchase software or equipment as part of your interview or hiring process.
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