Advanced Analytics Manager

Description

Alexander Group: The Go-to-Market Consulting Leaders

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.

Our dedication to sales strategy and revenue growth has led to:

• More than 70% of our clients being Fortune 500 corporations
• Project work in more than 25 countries
• Extensive industry experience in B2B markets

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.

The role collaborates extensively across the firm, including with:

• Research teams delivering innovative research products and thought leadership
• Senior internal stakeholders focused on developing proprietary research and intellectual property
• Technical and developer teams (internal and external) responsible for data engineering and solution development
• Consulting teams focused on delivering measurable client outcomes

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.

  Key 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 suppor