Analytics Engineer

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

Serve as the customer’s trusted technical advisor by building relationships with champions and end-users through solution review , implementation guidance, and technical mentorship.

Leverage customer relationships to uncover high-value, high-impact use case opportunities directly linked to the customer’s critical business workflows and objectives.

Collaborate with the customer and the account team to develop and execute strategic plans for adoption of Seeq and completion of key use cases addressing business objectives.

Advise customer champions and end-users to implement and operationalize the use cases to deliver a high return on investment for the customer.

Product Expertise

Be a product expert, maintaining knowledge of how to implement and troubleshoot solutions in the platform.

Identify gaps in Seeq's capabilities required to meet customer needs and give feedback to the product organization to influence the product roadmap.

Work with the product team to implement and test new functionalities that meet customer needs.

Industry Expertise

Build trust with customers through the application of industry-specific knowledge and awareness, including market and use case trends specific to their area.

Collaborate with internal teams (including industry principals, product marketing, and solution consulting) to influence industry-specific strategy.

Requirements

Bachelor's degree (or equivalent experience) in a technical field such as chemical, mechanical, electrical, or industrial engineering; degrees in operations research, data analytics, or applied math will be considered.

Minimum of 2 years of experience in process engineering, reliability engineering, technical pre-sales engineering (SaaS business, OT space preferred), or other related industry fields.

Experience in one or more industrial process manufacturing verticals and a working understanding of broad market drivers and business priorities.

Examples of industrial process industries are oil & gas, chemicals, pharmaceuticals, power & utilities, metals & mining, food & beverage, pulp & paper, etc.

Understanding of the difficulties involved in trying to solve real-world business and industrial challenges involving dense time-series process data with inadequate or overly complex analytics tools, such as Excel, MATLAB, Python, BI tools, or otherwise.

Responsive and adept at building trust and rapport with customers, prospective customers, partners, and internal multidisciplinary teams.