Sr. Analytics Engineer @Seeq
Data Analysis
Salary usd 145,000 per..
Remote Location
🇺🇸 USA Only
Job Type full-time
Posted 5d ago

[Hiring] Sr. Analytics Engineer @Seeq

5d ago - Seeq is hiring a remote Sr. Analytics Engineer. 💸 Salary: usd 145,000 per year 📍Location: USA

Role Description

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.

  • 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.

Qualifications

  • 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.
  • 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 bonus incentives
  • $145,000 USD base salary
  • 12-week paid Seeq family leave
  • Unlimited PTO
  • Internet and mobile phone reimbursements
  • Medical benefits
  • Group term life insurance
  • Short-term and long-term disability insurance pre-tax benefits
  • Voluntary vision and dental (ortho)
  • Vacation bonus program
  • Employee Assistance Program
  • 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)
  • You love your job!
Before You Apply
🇺🇸 Be aware of the location restriction for this remote position: USA Only
Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Sr. Analytics Engineer @Seeq
Data Analysis
Salary usd 145,000 per..
Remote Location
🇺🇸 USA Only
Job Type full-time
Posted 5d ago
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🇺🇸 Be aware of the location restriction for this remote position: USA Only
Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Apply for this position
Did not apply
Applied
Sent Follow-Up
Interview Scheduled
Interview Completed
Offer Accepted
Offer Declined
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