Advanced Analytics Manager

The Advanced Analytics Manager is a highly technical, hands-on role responsible for conducting complex analyses that move ABM beyond reporting into decision-ready insights. This individual will own the design and delivery of predictive and prescriptive analyses while continuously experimenting with emerging technologies and methods.

In addition, this role will informally serve as a mentor and technical guide to junior resources across reporting, diagnostic, and predictive analytics, helping elevate the entire team's capabilities while setting the standard for technical rigor and innovation.

Benefit Information:

ABM offers a comprehensive benefits package. For information about ABM's benefits, visit 2026 Recruiting Flyer - Staff & Mgmt

ABM (NYSE: ABM) is one of the world's largest providers of integrated facility, engineering, and infrastructure solutions. Every day, our over 100,000 team members deliver essential services that make spaces cleaner, safer, and efficient, enhancing the overall occupant experience.

ABM serves a wide range of market sectors including commercial real estate, aviation, education, mission critical, and manufacturing and distribution. With over $8 billion in annual revenue and a blue-chip client base, ABM delivers innovative technologies and sustainable solutions that enhance facilities and empower clients to achieve their goals. Committed to creating smarter, more connected spaces, ABM is investing in the future to meet evolving challenges and build a healthier, thriving world. ABM: Driving possibility, together.

ABM is an Equal Employment Opportunity (EEO) employer that does not discriminate on the basis of any trait or characteristic protected by applicable federal, state, or local law, including disability and protected veteran status. ABM is committed to working with and providing reasonable accommodation to individuals with disabilities. If you have a disability and need assistance in completing the employment application, please call 888-328-8606. We will provide you with assistance and make a determination on your request for reasonable accommodation on a case-by-case basis.

ABM participates in the U.S. Department of Homeland Security E-Verify program. E-Verify is an internet-based system used to electronically confirm employment eligibility.

ABM is a military-friendly company proudly employing thousands of men and women who have served in the U.S. military. With ABM, you'll have access to a world-class training program and ample opportunities to use the skills you developed while serving our country. Whether you're looking for a frontline or professional position, you can find post-military career opportunities across ABM.

ABM directs all applicants to apply at www.abm.com/careers. ABM does not accept unsolicited resumes or submissions outside of this portal. Applicants should submit their application by clicking Apply Now.

For more information, visit www.abm.com

• Bachelor's degree in Math, Statistics, Computer Science, or related field
• Master's degree in Analytics, Decision Sciences, Applied Mathematics, or related field preferred
• 8+ years of experience in analytics, with at least 3 years building predictive/prescriptive models hands-on
• Deep understanding of statistical theory and methods as they apply to data analytics, including regression and correlation, experimental design, sampling, probability distributions, time series analysis, and hypothesis testing.
• Demonstrated ability to apply statistical rigor to model development, validation, and interpretation
• Advanced technical proficiency in R, SQL, Excel, DAX and Power BI; experience building, testing, and optimizing models.
• Demonstrated ability to learn new tools and technologies quickly and apply them to real-world problems
• Strong ability to communicate technical outputs to senior business leaders in actionable, accessible terms
• Proven success mentoring analysts across reporting, diagnostic, and predictive disciplines

Hands-On Analytics & Technical Expertise

• Solve key business problems by designing and executing advanced analyses (such as optimization models, predictive and prescriptive frameworks, scenario simulations, etc.)
• Act as a technical expert across multiple technologies (R, SQL, Power BI, Salesforce, Snowflake, and others as needed)
• Rapidly learn and apply new tools, libraries, and techniques to solve complex business problems
• Collaborate with other analytics resources on development to enhance forecasting and build prescriptive layers on top of predictive outputs
• Translate technical work into business-friendly recommendations that drive adoption
• Support the data & reporting team with report development and maintenance as needed.

Team Enablement & Mentorship

• Provide informal leadership and mentorship to junior analytics staff.
• Coach team members on methods, tools, and the translation of outputs into decision-ready products.
• Advocate for best practices in coding, documentation, reproducibility, and deployment of models.
• Partner with Analytics leadership to set technical standards for the analytics function.

Governance & Adoption

• Ensure transparency, fairness, and explainability in all deliverables
• Embed decision-support outputs into dashboards and workflows as needed
• Promote adoption of advanced analytics through storytelling and practical examples

Example Projects

• Develop an RFP/account prioritization scoring model combining structured Salesforce data and unstructured proposal text.
• Build account engagement scoring model to optimize outreach by fit and predicted conversion.
• Create targeted coaching and enablement intervention models based on rep performance and training data.
• Run scenario simulations to optimize resource allocation across verticals or markets.
• Deploy a marketing spend optimization model to recommend budget allocation by channel.

Hands-On Analytics & Technical Expertise

• Solve key business problems by designing and executing advanced analyses (such as optimization models, predictive and prescriptive frameworks, scenario simulations, etc.)
• Act as a technical expert across multiple technologies (R, SQL, Power BI, Salesforce, Snowflake, and others as needed)
• Rapidly learn and apply new tools, libraries, and techniques to solve complex business problems
• Collaborate with other analytics resources on development to enhance forecasting and build prescriptive layers on top of predictive outputs
• Translate technical work into business-friendly recommendations that drive adoption
• Support the data & reporting team with report development and maintenance as needed.

Team Enablement & Mentorship

• Provide informal leadership and mentorship to junior analytics staff.
• Coach team members on methods, tools, and the translation of outputs into decision-ready products.
• Advocate for best practices in coding, documentation, reproducibility, and deployment of models.
• Partner with Analytics leadership to set technical standards for the analytics function.

Governance & Adoption

• Ensure transparency, fairness, and explainability in all deliverables
• Embed decision-support outputs into dashboards and workflows as needed
• Promote adoption of advanced analytics through storytelling and practical examples

Example Projects

• Develop an RFP/account prioritization scoring model combining structured Salesforce data and unstructured proposal text.
• Build account engagement scoring model to optimize outreach by fit and predicted conversion.
• Create targeted coaching and enablement intervention models based on rep performance and training data.
• Run scenario simulations to optimize resource allocation across verticals or markets.
• Deploy a marketing spend optimization model to recommend budget allocation by channel.