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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