We are redirecting you to the source. If you are not redirected in 3 seconds, please click here.

Data Analytics Engineer (Remote - Canada) at Jobgether. This position is posted by Jobgether on behalf of . Dotmatics. . We are currently looking for a . Data Analytics Engineer. in . Canada. .. Join a fast-growing, mission-driven company at the intersection of science and technology, where your work will directly support scientific innovation on a global scale. This role focuses on delivering actionable insights that enhance business operations, empowering cross-functional teams with data they can trust. You’ll collaborate with stakeholders across departments to develop scalable, high-impact analytics solutions while helping define best practices in a dynamic, remote-friendly environment. If you're passionate about analytics, problem-solving, and making data meaningful, this is your opportunity to contribute to something with real-world impact.. . Accountabilities:. . Build and maintain scalable reports and dashboards that drive business visibility and data-informed decisions.. . Collaborate with stakeholders across Sales, Product, Marketing, and Finance to identify KPIs, gather requirements, and deliver insights.. . Support data self-service efforts by encouraging adoption of internal data tools and assets.. . Conduct ad hoc analyses to address urgent business questions and provide meaningful data interpretations.. . Contribute to improving data quality, observability, and documentation through standardization and best practices.. . Play a key role in shaping internal analytics processes and tooling standards for long-term scalability.. . . . 2–5 years of experience in analytics engineering, data engineering, or related analytical roles.. . Bachelor's degree in a quantitative or technical field (e.g. Computer Science, Engineering, Math, Economics) or equivalent experience.. . Advanced SQL skills with strong knowledge of window functions, CTEs, and query optimization.. . Proven ability to collaborate with business stakeholders to define requirements and translate them into analytical outputs.. . Experience maintaining data documentation (data dictionaries, dbt Docs, wikis).. . Strong analytical mindset with a curious, self-driven attitude and attention to detail.. . Preferred but not required:. . Proficiency in Python or shell scripting.. . Experience with version control tools like Git and CI/CD workflows.. . Familiarity with BI tools such as Looker, Mode, or Tableau.. . Background in data quality assurance and testing processes.. . Company Location: Canada.