Analytics Engineer

Seeq; Australia; Remote; AUD 120,000 - 160,000; Full time

Benefits offered by this job

Remote-friendly

Job summary

Seeq is a remote-first analytics software company helping industrial sectors transform data into actionable insights. As a Customer Technical Adoption specialist, you’ll partner with customers to design and operationalize high-value analytics use cases within Seeq.

You’ll apply industry knowledge, product expertise, and strong communication to guide adoption, ensure success, and influence product decisions across time zones.

Qualifications

• Bachelor's degree in a technical field or equivalent experience.
• Minimum of 2 years of experience in process engineering, reliability engineering, technical pre-sales engineering (SaaS, OT space preferred), or related fields.
• Experience in one or more industrial process manufacturing verticals and understanding of market drivers and business priorities.
• Understanding of challenges solving real-world business and industrial data using analytics tools (Excel, MATLAB, Python, BI tools).
• Strong communication skills to engage with customers, partners, and cross-functional teams.
• Ability to consult on technical solutions leveraging Seeq features; Python experience a plus.
• Broad knowledge of the SaaS industrial analytics ecosystem (Azure, AWS, Databricks, etc.) is a plus.

Responsibilities

• Be the customer’s trusted technical advisor by building relationships, providing guidance, and mentoring.
• Uncover high-value use cases aligned with the customer’s workflows and objectives.
• Collaborate with the account team to develop adoption plans and execute key use cases.
• Advise customers on implementing and operationalizing use cases for ROI value.
• Maintain product expertise and test new functionalities to meet customer needs.
• Develop industry-specific strategies in collaboration with internal teams.

Skills

Customer advisory

Product expertise

Industry knowledge

Python programming

Technical communication

SaaS familiarity

Time-series data

Education

Bachelor's degree in a technical field

Tools

Python

Seeq experience

Cloud platforms

Job description

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.

• 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.
• 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 and managers.
• Ability to consult on 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 a plus.
• 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.).

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.