Senior Manager, Sales Insights and Analytics

Trimble Inc.•Westminster, CO

1d•$122,500 - $168,400•Onsite

About The Position

Trimble is looking for a passionate leader to bridge technical analytics capabilities with business strategy, transforming complex data into clear, actionable insights that directly drive global revenue performance and go-to-market excellence. In this role, you'll bridge technical analytics capabilities with business strategy, translating complex data into clear insights that inform decisions across our sales organization. You'll lead the evolution from retrospective reporting to predictive intelligence, empowering stakeholders to make faster, smarter decisions that directly impact pipeline, productivity, and revenue growth.

Requirements

10+ years of experience in analytics, business intelligence, or insights management roles, with at least 3 years leading a team and supporting sales or revenue operations.
Strong proficiency with BI platforms, SQL, and data visualization tools.
Proven track record of translating business questions into analytical solutions that drive measurable outcomes.
Experience with CRM systems such as Salesforce and marketing automation platforms.
Demonstrated ability to communicate complex analytical concepts to non-technical audiences.

Nice To Haves

Bachelor's degree in business, analytics, statistics, or a related field; MBA or advanced degree preferred.
Experience working with data scientists and machine learning engineers to translate business problems into analytical models.

Responsibilities

Drive Insight-Led Decision-Making: Partner with sales leadership and cross-functional stakeholders to identify critical business questions and translate them into analytical priorities.
Develop and deliver analytics that reveal leading indicators of pipeline health and sales performance.
Present insights to diverse audiences - from frontline managers to executives - using data storytelling techniques that drive action.
Embed yourself with stakeholder teams to understand how they make decisions and design insights that seamlessly integrate into existing workflows.
Deliver actionable QBR insights.
Own forecasting data and provide clear insights.
Ensure accuracy and reliability of all sales data.
Build Strategic Analytics Capabilities: Prioritize and scope analytics initiatives to address the most urgent business needs while building toward long-term strategic goals.
Design dashboards, reports, and self-service analytics tools that enable sales teams to access insights when and where they need them.
Establish measurement frameworks that connect sales activities to pipeline outcomes and revenue impact.
Collaborate with customer experience operations, marketing operations, and data engineering to ensure analytics initiatives are technically feasible and aligned with enterprise data strategy.
Enable Insight Adoption and Data Literacy: Champion a culture of data-driven decision-making by evangelizing analytics capabilities and demonstrating business value.
Create documentation and knowledge management systems that make insights discoverable and reusable.
Leverage AI and Advanced Analytics: Apply AI and machine learning techniques to uncover patterns, predict outcomes, and automate routine analysis.
Experiment with generative AI tools to accelerate insights generation and personalize communications for different stakeholder groups.
Work with data scientists and ML engineers to translate business problems into analytical models and ensure model outputs are actionable.
Stay current on emerging analytics methods and technologies, recommending new approaches that enhance decision-making capabilities.
Manage and Develop the Analytics Team: Lead, mentor, and develop a high-performing team of Sales Analysts, ensuring alignment of individual goals with overall business strategy.
Define clear roles, ownership, and performance expectations for analysts, promoting autonomy and accountability in high-ambiguity analytical projects.
Foster a culture of technical excellence and continuous improvement, guiding analysts in utilizing advanced BI platforms, SQL, and data visualization tools to tell the data stories.