About the role
Who you are
- We are looking for people who have 2-5 years of experience in analytics engineering, data engineering or analytics-heavy roles. You will have a Bachelor’s degree in a technical or quantitative field (Computer Science, Engineering, Math, Economics, etc.), or equivalent experience
- Advanced SQL — strong understanding of CTEs, window functions, query optimization
- Experience working directly with business teams to align on KPIs, define requirements, and deliver impactful insights
- Comfortable writing and maintaining data dictionaries, dbt Docs, or internal wikis
- Experience with Python and shell scripting is a plus
- Familiarity with version control systems (e.g., Git) and CI/CD workflows for data engineering projects
- Experience with BI tools (e.g., Looker, Mode, Tableau)
- Curious, self-driven, analytical and excited to play with data
- Foundation in data quality, testing, and documentation
What the job involves
- Dotmatics is seeking an Analytics Engineer to join our team working on providing actionable analytics to the business. In this role, you will have the opportunity to apply your knowledge to help improve our processes, infrastructure and security by applying best practices with the latest technologies
- Develop high-impact reporting and analytics providing visibility into business operations, lead efforts to scale reporting through automation
- Partner with internal stakeholders (Sales, Product, Marketing, Finance, etc.) to increase the understanding, visibility and use of business metrics, 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
About Dotmatics
Dotmatics is the global leader in R&D scientific software that connects science, data, and decision-making. Combining a workflow and data platform with best-of-breed applications, we offer the first true end-to-end solutions for biology, chemistry, formulations, data management, flow cytometry, and more.
Trusted by more than 2 million researchers from the world’s leading biopharma, chemicals and materials enterprises, and academic institutions, we are dedicated to working with the scientific community to help make the world a healthier, cleaner and safer place to live.
Learn more about our platform and products, including GraphPad Prism, Geneious, SnapGene, Protein Metrics, LabArchives, and more, at https://dotmatics.com.
About the role
Who you are
- We are looking for people who have 2-5 years of experience in analytics engineering, data engineering or analytics-heavy roles. You will have a Bachelor’s degree in a technical or quantitative field (Computer Science, Engineering, Math, Economics, etc.), or equivalent experience
- Advanced SQL — strong understanding of CTEs, window functions, query optimization
- Experience working directly with business teams to align on KPIs, define requirements, and deliver impactful insights
- Comfortable writing and maintaining data dictionaries, dbt Docs, or internal wikis
- Experience with Python and shell scripting is a plus
- Familiarity with version control systems (e.g., Git) and CI/CD workflows for data engineering projects
- Experience with BI tools (e.g., Looker, Mode, Tableau)
- Curious, self-driven, analytical and excited to play with data
- Foundation in data quality, testing, and documentation
What the job involves
- Dotmatics is seeking an Analytics Engineer to join our team working on providing actionable analytics to the business. In this role, you will have the opportunity to apply your knowledge to help improve our processes, infrastructure and security by applying best practices with the latest technologies
- Develop high-impact reporting and analytics providing visibility into business operations, lead efforts to scale reporting through automation
- Partner with internal stakeholders (Sales, Product, Marketing, Finance, etc.) to increase the understanding, visibility and use of business metrics, 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
About Dotmatics
Dotmatics is the global leader in R&D scientific software that connects science, data, and decision-making. Combining a workflow and data platform with best-of-breed applications, we offer the first true end-to-end solutions for biology, chemistry, formulations, data management, flow cytometry, and more.
Trusted by more than 2 million researchers from the world’s leading biopharma, chemicals and materials enterprises, and academic institutions, we are dedicated to working with the scientific community to help make the world a healthier, cleaner and safer place to live.
Learn more about our platform and products, including GraphPad Prism, Geneious, SnapGene, Protein Metrics, LabArchives, and more, at https://dotmatics.com.