Analytics Engineer building trusted data models, pipelines, dashboards, and GTM workflows for Linear’s product development system. Partnering across Product, Engineering, and GTM to make data actionable.
About the role
- Senior Data Analytics Engineer building automated reporting and business insights for Dotmatics’ cloud scientific research platform. Partnering across Sales, Product, Marketing, and Finance to enable self-service analytics.
Responsibilities
- Develop high-impact reporting and analytics, providing visibility into business operations, and lead efforts to scale reporting through automation
- Partner with Sales, Product, Marketing, Finance, and other internal stakeholders to increase understanding, visibility, and use of business metrics and encourage self-service analytics
- Perform ad hoc data exploration and analysis to answer immediate business needs
- Identify opportunities to improve data quality, performance, and observability
- Help develop standards for analytics engineering best practices
Requirements
- At least 7 years of experience in analytics engineering, data engineering, or analytics-heavy roles
- Bachelor’s degree in a technical or quantitative field, such as Computer Science, Engineering, Math, Economics, or bioinformatics, or equivalent experience
- Advanced SQL, including CTEs, window functions, and query optimization
- Experience working directly with business teams to align on KPIs, define requirements, and deliver impactful insights
- Ability to write and maintain data dictionaries, dbt Docs, or internal wikis
- Ability to design and build explainable, sustainable BI assets, including Excel spreadsheets, BI dashboards, or PowerPoint presentations
- Experience with Python and shell scripting is a plus
- Familiarity with version control systems such as Git and CI/CD workflows for data engineering projects
- Experience with dbt/dbt Core
- Experience with multiple BI tools, such as Looker, Mode, or Tableau
- Foundation in data quality, testing, and documentation
- Curious, self-driven, analytical, and excited to work with data
Benefits
- Dynamic, remote-friendly environment
- Collaborative, global team environment
- Equal opportunity workplace supporting and connecting everyone
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