Senior Analytics Engineer

The Role We’re looking for a Senior Analytics Engineer to own the transformation and modeling layer of DDN’s enterprise data platform. You’ll turn raw data from Salesforce, Workday, product systems, and other sources into trusted, well-documented datasets that stakeholders across Sales, Finance, Product, and Operations actually use to make decisions. You’ll work closely with data engineers who manage ingestion and infrastructure, and with analysts and business partners who consume what you build. What You’ll Own Data modeling — design, build, and maintain dbt models that transform raw data into clean, reliable datasets for analytics and reportingData quality — implement and maintain testing, monitoring, and documentation so stakeholders can trust what they’re looking atBI & semantic layer — build and maintain Sigma data models and workbooks that give business users self-serve access to dataCollaboration — partner with business stakeholders to understand their analytical needs and translate them into scalable, maintainable data models; work with data engineers on source data requirements Your Experience Includes 5+ years in analytics engineering, data engineering, or a similar data-focused roleExpert-level SQL including experience with complex joins, window functions, CTEs, and performance tuningStrong experience with dbt for building and maintaining transformation pipelinesHands-on experience with a cloud data warehouse (BigQuery, Snowflake, Redshift, or similar)Understanding of dimensional modeling and data warehouse design patternsExperience building and maintaining BI content (dashboards, data models, semantic layers) in tools like Sigma, Looker, or similarStrong Python skills for data analysis, automation, or pipeline workSolid understanding of data quality practices including testing, monitoring, documentationStrong communication skills and demonstrated ability to translate technical concepts for business stakeholdersBachelor’s degree in a quantitative field or equivalent practical experience Nice to Have Experience with Sigma Computing specificallyFamiliarity with data quality frameworks (e.g., Elementary, Great Expectations)Familiarity with data governance practices — PII handling, access controls, documentation standardsExperience with version-controlled, CI/CD-driven analytics workflowsPrior experience in a small data team where you wore multiple hats Compensation Range: $150K - $185K