Jobs / France / Seeq

Seeq

Senior Analytics Engineer - EMEA

France Posted today

View original listing ↗ Tailor my CV first Source: Arbeitnow

Listed on Arbeitnow: the application continues on their site, which links to the employer. Optional: we can tailor a CV and cover letter for this job from your real experience first (the first one is free).

Skills this job asks for

AgileProduct managementExcelPython

Add your CV (free) to see which of these your CV is missing.

Sponsorship verdict

No sponsorship evidence yet

No government record and no wording either way. Not a refusal: ask the recruiter.

  • No government sponsor record hereThis employer posted directly and does not match a government sponsor register.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • Can’t check pay against the visa rulesWe don’t have visa salary rules for this country yet.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources

A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.

Before you apply

Sponsorship unknown

No register record and no sponsorship wording in the posting. Worth asking the employer before investing significant time.

These come from the posting’s own wording. Read the original listing to confirm. See better-fit alternatives →

About the role

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 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. Occasionally may require hands-on delivery to accelerate a customer’s high value use case. • Upskill Seeq’s partner ecosystem to be an extension of the Analytics Engineering team to provide support globally and in localized languages. Product Expertise • 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. • Ability to assess and position Seeq’s benefits relative to competitive products in the marketplace or in the customer’s ecosystem. • Work with the product team to design, 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 5-7 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 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. • R

View original listing ↗