Advanced Analytics Manager

Alexander Group•Chicago, IL

8h•$200,000 - $220,000

About The Position

Alexander Group provides go-to-market consulting services to marketing, sales, service and talent leaders. With over 40 years of developing practical, executable solutions, we are singularly focused on helping commercial teams unlock their full potential and reach new revenue goals. With a robust network of offices, Alexander Group maximizes growth opportunities for our clients around the globe. Founded in 1985, we’ve served more than 3,000 companies around the world, across all industries. This experience gives us not only a highly sophisticated set of best practices to design go-to-market strategy—we also have a rich repository of industry data that informs all of our recommendations. The Analytics & Research practice at Alexander Group enables the firm’s growth by delivering insightful benchmarks, advanced analytical findings and executive research that drive client success and support the firm’s marketing and sales efforts. Position Overview: The Advanced Analytics Manager reports to the leader of the Analytics and Research practice and leads the Advanced Analytics team. This includes overseeing multiple direct reports and external contractors. The team is responsible for deriving actionable insights and rigorously testing business and research hypotheses using diverse data sources, methodologies, and analytical techniques. This role manages data scientists and analysts conducting statistical and machine learning analyses to address research and consulting questions. The Advanced Analytics Manager is expected to independently interpret, tune, and apply machine learning models, operate effectively in large-scale data environments, and leverage advanced statistical and machine learning methods to develop robust, defensible solutions to complex business problems. A core responsibility of the role is coaching and developing team members on these analytical capabilities and best practices. Experience integrating AI-enabled solutions is a plus, but not required. This may include the design and use of AI agents or tools that support research automation, data collection and cleansing, exploratory analysis, or insight generation. Strong communication skills are essential. The Advanced Analytics Manager regularly translates complex analytical findings into clear, compelling narratives for both internal and external stakeholders and actively participates in stakeholder and client meetings. This highly cross-functional role, combined with frequent engagement with senior leadership, provides outstanding opportunities for professional growth and career advancement. The Advanced Analytics Manager reports to the leader of the Analytics and Research practice. The firm’s culture—rooted in teamwork and meritocracy—empowers professionals to support one another’s development while building differentiated analytics capabilities for clients.

Requirements

Full authorization to work in the United States without current or future visa sponsorship requirements (TN visa accepted)
Bachelor’s and/or Master’s degree with a strong record of academic achievement in a quantitative field, such as mathematics, economics, statistics, data science, or computer science
7+ years of relevant professional experience, including at least 2+ years managing direct reports
Demonstrated applied experience building advanced statistical and predictive models in a business or consulting environment
Strong working knowledge of supervised and unsupervised machine learning techniques for regression and classification problems
Proficiency in open-source data science programming languages, with Python required and R preferred
Experience using data visualization and business intelligence tools such as Power BI or Tableau
Ability to execute responsibilities with a high degree of independence and sound professional judgment
Excellent interpersonal, collaboration, and communication skills (written and verbal)
Comfortable presenting complex analytical findings to senior and executive audiences, including strong executive-level storytelling capabilities
Proven ability to manage multiple priorities and projects simultaneously in a fast-paced environment
High degree of motivation, adaptability, creativity, and resourcefulness, with the ability to learn quickly
Positive attitude and demonstrated willingness to learn from mentors and peers
Ability to travel infrequently for in-person meetings, as needed

Nice To Haves

Experience leading advanced analytics, big data, or predictive modeling initiatives in a client-facing management consulting environment
Familiarity with corporate data architectures, databases, and data warehousing concepts and tools
Moderate to advanced proficiency in Excel and PowerPoint
Strong foundation in go-to-market business concepts, including sales and marketing strategy

Responsibilities

Independently create, apply and interpret advanced statistical and machine learning approaches to solve a variety of business research problems through research projects
Serve as data and modeling subject matter expert – advise on data preparation, enrichment, model architecture, integration, etc.
Understand go-to-market research problems and context in detail and design solutions in alignment with project objectives and in collaboration with cross-functional stakeholders
Communicate project findings, conclusions and recommendations to your peers
Participate in and lead portions of key stakeholder meetings (internal and client-facing) to review and present analytical approaches and modeling results, answer questions and discuss feedback
Contribute to general project needs and deliverables such as status updates, meeting content and research report materials
Help standardize/consolidate modeling approaches to support optimization of research project delivery
Support the Advanced Analytics practice development and participate in team meetings (e.g., new research methodology, content curation, trainings, etc.)
Manage development and career progression of Advanced Analytics team members, including job design, promotion track, and informal and formal feedback