Analytics Engineer

Seeq Corporation

. Serve as a trusted technical advisor to customers through solution reviews, implementation guidance, and technical mentorship.

Posted 9/17/2026full-timeRemote • AustraliaJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in technical advisory roles, focusing on solution implementation and operationalization within industrial process manufacturing. Proficient in building customer relationships and delivering strategic adoption plans while leveraging knowledge of SaaS industrial analytics tools.

Highest-signal resume keywords

Technical AdvisoryProcess EngineeringTechnical CommunicationSaaS Industrial AnalyticsCustomer Relationship Management

ATS Keywords

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Hard Skills

Process EngineeringReliability EngineeringData AnalyticsPython ProgrammingExcelMATLABBI ToolsTechnical Pre-Sales EngineeringImplementation GuidanceTroubleshooting

Soft Skills

Building TrustInfluential CommunicationCollaborationPrioritizationRelationship Building

Tools & Technologies

AzureAWSDatabricksAVEVAAspen TechIOTACogniteC3.aiPalantirSeeq

Industry Keywords

Industrial Process ManufacturingMarket DriversBusiness PrioritiesTime-Series Process DataOperationalization

Tech Stack

Tools & technologies

AWSAzurePython

About the role

Key responsibilities & impact

Serve as a trusted technical advisor to customers through solution reviews, implementation guidance, and technical mentorship.
Build relationships with customer champions and end users.
Identify high-value use-case opportunities connected to critical business workflows and objectives.
Collaborate with customers and account teams to develop and execute strategic adoption plans.
Advise customers on implementing and operationalizing use cases to deliver return on investment.
Maintain expertise in implementing and troubleshooting platform solutions.
Identify product capability gaps and provide feedback to influence the product roadmap.
Work with the product team to implement and test new functionalities.
Build customer trust through industry-specific knowledge and awareness of market and use-case trends.
Collaborate with industry principals, product marketing, and solution consulting teams to influence industry strategy.

Requirements

What you’ll need

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, or related industry fields.
Experience in one or more industrial process manufacturing verticals.
Working understanding of broad market drivers and business priorities.
Understanding of challenges involving dense time-series process data and analytics tools such as Excel, MATLAB, Python, or BI tools.
Ability to build trust and rapport with customers, prospective customers, partners, and multidisciplinary teams.
Effective and influential technical communication skills.
Ability to communicate with subject matter experts and managers.
Ability to consult on technical solutions using current software capabilities and broader technology landscape.
Ability to independently prioritize work based on account strategy, customer needs, and company objectives.
Programming experience in Python and/or other languages is a plus.
Prior Seeq experience is a plus.
Broad knowledge of the SaaS industrial analytics ecosystem is a plus, including Azure, AWS, Databricks, AVEVA, Aspen Tech, IOTA, Cognite, C3.ai, and Palantir.

Benefits

Comp & perks

Remote-first (only) company
Supportive, agile work environment
Collaboration across time zones
Curiosity, learning, and continuous improvement culture
Great place to work certification
Emerging startup recognition
Technology Fast 500 recognition
Inc. Magazine's Best Places to Work recognition