{"id":982723,"url":"https://alion.io/job/seeq-analytics-engineer","title":"Analytics Engineer","company":{"id":5527,"name":"Seeq","domain":"seeq.com","url":"https://alion.io/company/seeq","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"A","score":100,"open_postings":3,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":44,"computed_at":"2026-11-03T05:54:40Z"}},"role":"Analytics","role_family":"Analytics","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["AU"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":68000,"max_usd":121000,"period":"year","method":"role_country_seniority_unknown","sample_n":22},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"MATLAB","optional":false},{"name":"Python","optional":false},{"name":"Time Series","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Databricks","optional":true}],"status":"live","first_seen_at":"2026-09-16T22:04:41Z","employer_posted_date":"2026-09-16","last_verified_at":"2026-11-03T04:01:05Z","board_verified":true,"closed_at":null,"days_open":47,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":47},"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.\nAs 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.\nAnalytics 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.\nKey Duties & Responsibilities:\nAs a key customer-facing team member, you will participate in the following activities:\nCustomer Technical Adoption\nServe as the customer’s trusted technical advisor by building relationships with champions and end-users through solution review, implementation guidance, and technical mentorship.\nLeverage customer relationships to uncover high-value, high-impact use case opportunities directly linked to the customer’s critical business workflows and objectives.\nCollaborate 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.\nAdvise customer champions and end-users to implement and operationalize the use cases to deliver a high return on investment for the customer.\nProduct Expertise\nBe a product expert, maintaining knowledge of how to implement and troubleshoot solutions in the platform.\nIdentify gaps in Seeq's capabilities required to meet customer needs and give feedback to the product organization to influence the product roadmap.\nWork with the product team to implement and test new functionalities that meet customer needs.\nIndustry Expertise\nBuild trust with customers through the application of industry-specific knowledge and awareness, including market and use case trends specific to their area. \nCollaborate with internal teams (including industry principals, product marketing, and solution consulting) to influence industry-specific strategy.\nRequirements\nBachelor'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.\n 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.\nExperience in one or more industrial process manufacturing verticals and a working understanding of broad market drivers and business priorities.\nExamples of industrial process industries are oil & gas, chemicals, pharmaceuticals, power & utilities, metals & mining, food & beverage, pulp & paper, etc.\nUnderstanding 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.\nResponsive and adept at building trust and rapport with customers, prospective customers, partners, and internal multidisciplinary teams.\nEffective 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.\nAbility 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.\nAbility to independently prioritize work based on account team strategy, customer business needs, and Seeq company objectives.\nPrior experience using Seeq is a plus.\nPython programming skills is a plus.\nBroad knowledge of the SaaS industrial analytics ecosystem is a plus (e.g., Azure, AWS, Databricks, AVEVA, Aspen Tech, IOTA, Cognite, C3.ai, Palantir, etc.).\nBenefits\nAbout Seeq\nSeeq 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.\nWe 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.\nWe 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. 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