Analytics Engineer
Seeq
Analytics Engineer
Seeq
Time-series analytics platform for manufacturing
Seeq · Australia (Remote) · Full-time · Posted 2026-09-16
Salary: AUD 120,000–130,000
Workplace: remote
Department: Analytics Engineering
Seeq builds advanced analytics software that unlocks insights from industrial process data, empowering companies in sectors like pharmaceuticals, oil & gas, chemicals, and power generation to optimize operations and drive business value.
As a remote-first company since our founding, we’re built for collaboration across time zones. Our engineering and customer-facing teams thrive in a supportive, agile environment that emphasizes curiosity, learning, and continuous improvement.
Analytics Engineers at Seeq serve as trusted technical advisors to our customers, helping them solve complex process challenges and maximize value from our software. You’ll work directly with end users to design scalable, high-impact analytics solutions that drive engagement, adoption, and tangible business outcomes.
Key Duties & Responsibilities:
As a key customer-facing team member, you will participate in the following activities:
Customer Technical Adoption
Product Expertise
Industry Expertise
About Seeq
Seeq is a remote-first (only) company founded by serial entrepreneurs. Our executive team and board of directors have extensive experience with successful startup ventures in high-growth environments.
We are founded on the idea that companies need better solutions for quickly and easily getting business insight from their industrial process data. Our mission is to provide software and services that convert that data into meaningful information that the business can use to improve profitability.
We have a wonderful, kind-hearted, talented team that loves to collaborate, lead by example, and exceed our customers’ expectations. We are certified as a great place to work, an emerging startup, the Technology Fast 500, and Inc. Magazine's Best Places to Work.
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Seeq provides a data analytics platform focused on time series data for manufacturing. It processes large streams of operational data and, using machine learning and artificial intelligence, converts them into actionable insights in near real-time, reducing data analysis from months to days. The platform is designed to be user-friendly and accessible to a wide range of roles within a company, with industry-specific, tailored solutions and a subscription-based access model. A recent Databricks partnership signals a commitment to accelerating data convergence across enterprises, further enhancing the service. Seeq differentiates itself by specializing in time series analytics for manufacturing, offering broad role accessibility, and industry-tailored solutions, rather than generic analytics tools. Its goal is to help businesses operate more efficiently, increase profitability, and improve sustainability by turning vast time series data into timely, clear insights.
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