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
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
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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.
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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.
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Deploy a marketing spend optimization model to recommend budget allocation by channel.
- 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
Skills Required
- Bachelor's degree in Math, Statistics, Computer Science, or related field
- Master's degree in Analytics, Decision Sciences, Applied Mathematics, or related field
- 8+ years of experience in analytics
- At least 3 years building predictive/prescriptive models hands-on
- Deep understanding of statistical theory and methods (regression, experimental design, time series, hypothesis testing)
- Advanced technical proficiency in R, SQL, Excel, DAX, and Power BI
- Experience with Salesforce and Snowflake (as technical platforms)
- Demonstrated ability to apply statistical rigor to model development, validation, and interpretation
- Proven success mentoring analysts across reporting, diagnostic, and predictive disciplines
- Strong ability to communicate technical outputs to senior business leaders in actionable terms
- Ability to rapidly learn and apply new tools, libraries, and techniques
ABM Industries Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about ABM Industries and has not been reviewed or approved by ABM Industries.
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Healthcare Strength — Health coverage includes medical, dental, and vision, with some options described as strong (including no‑deductible choices) and added features to support condition management alongside expanded wellness benefits. Programs such as an Employee Assistance Program and FSA/HSA options further support physical and mental wellbeing.
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Retirement Support — A 401(k) savings plan with company match and immediate vesting supports long‑term savings. Complementary protections like life, AD&D, and disability insurance bolster financial security.
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Wellbeing & Lifestyle Benefits — Perks such as paid holidays, vacation and sick/bereavement time, commuter benefits, and discount programs are part of the offering. An emergency relief fund for financial hardship provides additional practical support for eligible employees.
ABM Industries Insights
What We Do
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