Machine Learning Engineer jobs in United States

MaintainX is the world's leading Asset and Work Intelligence platform for industrial and frontline environments. We are a modern IoT-enabled cloud-based tool for reliability, safety, and operations on physical equipment and facilities. MaintainX powers operational excellence for 12,000 businesses including Duracell, Univar Solutions Inc., Titan America, McDonald's, Brenntag, Cintas, Xylem, and Shell.

We recently completed a $150 million Series D funding round, bringing our total funding to $254 million and valuing the company at $2.5 billion.

This role is remote in Canada or USA.

As aSenior Data Analyst, you will use your expertise in analysis & BI to uncover valuable insights informing the marketing strategy at MaintainX. You will make use of data across multiple platforms and partner with various teams to identify opportunities and improve results. While the role is dedicated to Marketing, you will be a member of the larger Data & Analytics team - who are tasked with supporting MX as a whole.

• Partner directly with marketing: Embed yourself with the core Marketing stakeholders as their trusted analytics partner—anticipating needs & prioritizing execution
• Accountable for marketing BI infrastructure: Build, maintain & enhance the dashboards, pipelines, and reporting systems that track marketing performance from awareness through won across all data platforms, including Tableau and Salesforce.
• Deliver reliable, recurring marketing reporting: Create and manage weekly/monthly performance reports and executive dashboards that give marketing leadership consistent visibility into funnel metrics, channel performance, and pipeline health.
• Ensure data quality and governance: Partner with the broader Data Engineering team to maintain clean, accurate data flows from marketing platforms (Google Analytics, ad platforms, HubSpot/Marketo, Salesforce) into our analytics stack.
• Enable self-service analytics: Build tools, dashboards, and documentation that empower marketing teams to answer their own questions.
• Support ad hoc reporting requests: Execute various analyses and data pulls to support time-sensitive marketing decisions and campaign reporting needs.
• Budget setting: Support stakeholders with goal setting & related reporting
• Information sharing: Present dashboards, results and recommendations

• Bachelor's degree in Economics, Commerce, Analytics, Engineering, Computer Science, Statistics, Mathematics, or a similar field
• 4+ years of professional experience as a Business Intelligence Analyst or Marketing Analytics professional in B2B SaaS, with deep expertise in marketing data, funnel metrics, and attribution.
• You’re a builder, not just an analyst: You don't just answer questions—you build the systems that make answers accessible to everyone. You think about scalability, governance, and documentation.
• You’re a strong communicator: You can translate technical concepts for non-technical stakeholders and document your work clearly for future reference.
• You balance perfection with pragmatism: You know when to ship a working solution quickly versus when to invest in a robust, long-term build.
• Strong proficiency in Tableau and Salesforce
• Excellent SQL skills and experience with database management systems & pipelines

• Competitive salary and meaningful equity opportunities.
• Healthcare, dental, and vision coverage.
• You’ll work alongside folks across the globe that reflect the MaintainX values, Smart Humble Optimist.
• We believe in meritocracy, where ideas and effort are publicly celebrated.

Our mission is to deliver one platform for maintenance, repair & operations teams to keep the physical world running. We believe the greatest asset in any organization is the people. That’s why we built an intuitive, mobile-first solution to help boost productivity and collaboration across teams and locations.

MaintainX is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.