Sr. Manager, Sales Operations & Analytics

Belden Inc•Chicago, IL

32d•Hybrid

About The Position

The Sales Analytics Manager will bridge the gap between sales strategy and execution by managing AI-enabled reporting and data infrastructure. You will build predictive forecasting models, automate recurring reports, and optimize CRM workflows to ensure high-quality pipeline scoring. By translating complex data into intuitive visualizations, you will identify process bottlenecks and provide the real-time insights needed to drive decision-making across the business. Additionally, you will lead cross-functional projects to refine sales processes, ensuring on-time delivery of operational improvements that drive team productivity.

Requirements

Degree in Business (administration, economics, finance, or Marketing) preferred.
Experience of working within a medium to large sized international organization.
Experience of successfully operating in a matrix environment.
Experience and competent with C-Suite interaction
Experience of working with cross functional teams, including Marketing, Product Development and Finance.
Demonstrable knowledge of a variety of Sales processes including funnel management, account planning, proposition development, and negotiation.
Working experience of MEDDIC Methodology and Sales Process advantageous.
Demonstrate excellent communication skills, both verbally and in writing.
Demonstrate analytical skulls and the ability to work within a metric driven environment.
Ability to work successfully in a fast paced and pressured work environment.
Demonstrate a pro-active, flexible and pragmatic approach.
Ability to make tough decisions and mitigate risk in doing so.
Able to work with a high degree of autonomy
Ability to travel domestically and internationally as required to perform the duties of the role.
Computer literacy essential
Advanced knowledge of Salesforce.com and Tableau required.
Advanced Excel modeling and PowerPoint skills.
English fluency to business standard essential.
Demonstrate Belden values.

Nice To Haves

Working experience of MEDDIC Methodology and Sales Process advantageous.

Responsibilities

Manage multiple concurrent projects under tight deadlines, ensuring clear communication of progress to executive stakeholders and effective resource allocation.
Leverage AI-driven analytics and predictive modeling to generate actionable insights across key sales performance indicators, operational metrics, and revenue streams.
Translate complex business questions into intuitive dashboards, automated reports, and executive-ready insights using advanced data visualization and AI-enabled tools.
Lead structured funnel reviews to analyze pipeline health, stage conversion, velocity, and risk indicators, driving proactive revenue interventions.
Conduct comprehensive closed opportunity reviews (win/loss analysis) to identify competitive trends, pricing effectiveness, sales behavior patterns, and coaching opportunities.
Own weekly, monthly, and quarterly reporting processes, incorporating AI-based forecasting models to improve revenue predictability and scenario planning accuracy.
Analyze seller productivity, quota attainment, and pipeline conversion using machine learning insights to optimize territory design and resource allocation.
Drive CRM (Salesforce) optimization and automation initiatives, improving data integrity, workflow efficiency, and AI-powered pipeline scoring.
Automate recurring reporting and implement scalable analytics frameworks that reduce manual effort and enhance real-time decision support.
Perform advanced ad hoc analytics including scenario modeling, capacity planning, and revenue sensitivity analysis across multiple geographies and business units.
Build customer, product, and market segmentation models leveraging AI clustering techniques to inform go-to-market and investment prioritization.
Identify process bottlenecks through data mining and pattern recognition, recommending automation and workflow improvements to enhance sales productivity.
Deliver executive-level storytelling that combines AI insights, funnel diagnostics, and closed deal learnings to drive strategic growth decisions and continuous performance improvement.