Senior Analytics Engineer

This is a Fully Remote Job
About Our Client:
The organization develops advanced analytics software designed to extract insights from industrial process data. Serving sectors such as pharmaceuticals, oil and gas, chemicals, and power generation, it supports companies in optimizing operations and enhancing business value. Operating as a remote-first entity since its inception, the company fosters collaboration across time zones with an emphasis on curiosity, learning, and continuous improvement.
About the Opportunity:
The SENIOR ANALYTICS ENGINEER acts as a trusted technical advisor, working directly with customers to solve complex process challenges using the organization's software. This role focuses on designing scalable analytics solutions that drive engagement, adoption, and measurable business outcomes. It plays a pivotal part in enhancing customer value and contributing to the organization's impact in industrial data analytics.
Responsibilities:
Lead technical delivery for complex, multi-phase, or customized customer projects.
Mentor junior Analytics Engineers and develop reusable tools and templates.
Serve as escalation point for technical and solution-design challenges.
Build strong customer relationships to support technical adoption and uncover high-impact use cases.
Collaborate with account teams to develop strategic adoption plans.
Advise and occasionally assist customers in implementing and operationalizing use cases.
Upskill partner ecosystem to extend global and localized support.
Maintain product expertise, including integration capabilities.
Provide feedback to influence the product roadmap.
Assess and position the software against competitive products.
Collaborate on designing and testing new product features.
Apply industry-specific knowledge to build customer trust and influence strategy.
Requirements:
Bachelor's degree or equivalent in technical fields such as chemical, mechanical, electrical, or industrial engineering; related fields like operations research, data analytics, or applied math considered.
At least 7 years of experience in process engineering, reliability engineering, technical pre-sales engineering (preferably SaaS or OT), or related areas.
Deep technical expertise in one or more industrial process manufacturing sectors.
Understanding of market drivers and business priorities in these sectors.
Experience with challenges of analyzing dense time-series industrial process data.
Strong communication skills across technical and executive audiences.
Ability to develop and propose technical solutions using current software capabilities.
Independent prioritization aligned with account and company strategy.
Prior experience with the organization's software preferred.
Programming skills in Python or other languages are a plus.
Broad knowledge of the SaaS industrial analytics ecosystem is advantageous.
Pay Range and Compensation Package:
The pay range and compensation package for this role will be determined based on the candidate's experience, skills, and other relevant factors.
Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.
Note:
TalentHop is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.

Work arrangement
Yes