At a Glance
- Tasks: Design and implement high-impact analytics solutions for industrial process data.
- Company: Join a remote-first, innovative tech company transforming industrial analytics.
- Benefits: Competitive salary, unlimited PTO, home office allowance, and a pet-friendly workspace.
- Other info: Collaborative culture with excellent career growth opportunities.
- Why this job: Make a real impact by solving complex challenges in various industries.
- Qualifications: 5-7 years in process engineering or technical pre-sales; strong communication skills.
The predicted salary is between 111000 - 129000 £ per year.
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 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 (Saa S 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.
- 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 Saa S industrial analytics ecosystem is a plus (e. g., Azure, AWS, Databricks, AVEVA, Aspen Tech, IOTA, Cognite, C3. ai, Palantir, etc.).
Benefits
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.
- The Perks of Working at Seeq
- Competitive salary
- €111,000 - 129,000 depending on experience.
- Variable bonus
• Benefits
- Unlimited PTO
- 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!
Seeq provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics.
You must be authorized to work in the country in which you reside. Seeq does not sponsor US F1 or H-1B work visas
Senior Analytics Engineer - EMEA employer: Seeq
Seeq is an exceptional employer that prioritises employee growth and development, particularly in the dynamic field of customer success within advanced analytics. With a strong focus on collaboration and innovation, employees are empowered to lead strategic initiatives that drive real value for our customers across various industries. The scale-up environment fosters a culture of agility and creativity, making it an exciting place for professionals looking to make a meaningful impact while enjoying the benefits of remote work flexibility.
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We think this is how you could land Senior Analytics Engineer - EMEA
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We think you need these skills to ace Senior Analytics Engineer - EMEA
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Seeq. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Seeq
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Seeq!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
