Senior Analytics Engineer
Primary stack
Nice to have's
Job description
Senior Analytics Engineer
About the Position
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.
Responsibilities
- Data modeling - design, build, and maintain dbt models that transform raw data into clean, reliable datasets for analytics and reporting
- Data quality - implement and maintain testing, monitoring, and documentation so stakeholders can trust what they’re looking at
- BI & semantic layer - build and maintain Sigma data models and workbooks that give business users self-serve access to data
- Collaboration - 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
Requirements
- 5+ years in analytics engineering, data engineering, or a similar data-focused role
- Expert-level SQL including experience with complex joins, window functions, CTEs, and performance tuning
- Strong experience with dbt for building and maintaining transformation pipelines
- Hands-on experience with a cloud data warehouse (BigQuery, Snowflake, Redshift, or similar)
- Understanding of dimensional modeling and data warehouse design patterns
- Experience building and maintaining BI content (dashboards, data models, semantic layers) in tools like Sigma, Looker, or similar
- Strong Python skills for data analysis, automation, or pipeline work
- Solid understanding of data quality practices including testing, monitoring, documentation
- Strong communication skills and demonstrated ability to translate technical concepts for business stakeholders
- Bachelor’s degree in a quantitative field or equivalent practical experience
Nice to Have
- Experience with Sigma Computing specifically
- Familiarity with data quality frameworks (e.g., Elementary, Great Expectations)
- Familiarity with data governance practices - PII handling, access controls, documentation standards
- Experience with version-controlled, CI/CD-driven analytics workflows
- Prior experience in a small data team where you wore multiple hats
We Offer
- Compensation: $120K – $150K • Offers Equity • Offers Bonus
- Location: New York, New York, United States
- Employment Type: Full time
- Location Type: Hybrid
About the Company
DDN is a leading company in the data and analytics space, dedicated to transforming raw data into valuable insights for decision-making across various departments.
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DataDirect Networks (DDN.com) is a world leader in massively-scalable storage platforms and solutions engineered for the Big Data and Cloud era. Our storage, processing solutions and professional services enable content-rich and high-data growth environments to achieve the highest levels of systems performance, scalability and efficiency.In solving today’s Big Data lifecycle management challenges at scale, DDN enables organizations to maximize the value of their information, everywhere. As the technology behind the world’s leading data-driven organizations, our customers include online content and social networking providers, high performance cloud and grid computing, life sciences, financial services, media production houses and security and intelligence agencies.