Senior Analytics Engineer

October 21

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Seeq Corporation

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Seeq Corporation develops software and services that accelerate industrial process analytics on industrial process data.

51 - 200 employees

📋 Description

• Serve as the customer’s trusted technical advisor by building relationships with champions and end-users through solution design, implementation guidance, and technical mentorship. • Leverage customer relationships to perform constant discovery and uncover high-value, high-impact use case opportunities directly linked to the customer’s critical business workflows and objectives. • Collaborate with the customer and 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. • Upskill Seeq’s partner ecosystem to be an extension of the Analytics Engineering team to provide support globally and in localized languages. • Be a product expert, maintaining knowledge of how to implement and troubleshoot solutions in the platform, including integrations with other systems. • 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 design, implement, and test new functionalities that meet customer needs. • 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 7 years of experience in process engineering, reliability engineering, technical pre-sales engineering (SaaS business, OT space preferred), or other related industry fields. • Deep technical expertise in one or more industrial process manufacturing verticals and a sound 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. • Empathy with and experience in 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. • Effective and influential technical communicator. Enjoys dissecting, articulating, and translating a combination of customer-stated and customer-implied needs. Able to communicate with subject matter experts, managers, directors, and C-level audiences. • Creative ability to develop and propose technical solutions leveraging the latest features and capabilities in the software and broader technology landscape. Programming experience in Python and/or other programming languages is a plus. • Ability to independently prioritize work based on account team strategy, customer business needs, and Seeq company objectives. • Prior experience using Seeq is highly preferred. • Python programming skills is a plus. • Broad knowledge of the SaaS industrial analytics ecosystem is a plus (e.g., Azure, AWS, Databricks, AVEVA, Aspen Tech, IOTA, Cognite, C3.ai, Palantir, etc.).

🏖️ Benefits

• Competitive salary plus equity incentives • Internet and mobile phone reimbursements • Generous home office allowance • The best co-workers (we've analyzed the data, so we know it's true.) • Pet-friendly workspace (your dog will be so happy to have you home)