Senior Manager, Marketing Strategy & Analytics

Box•Redwood City, CA

1d•$146,500 - $175,000•Hybrid

About The Position

Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift.

Requirements

8+ years of experience in marketing analytics, business strategy, revenue operations, or related analytical roles.
Strong experience building pipeline, funnel, and marketing performance dashboards using tools such as Tableau, Looker, Power BI, or similar platforms.
Proven ability to translate complex data into strategic business recommendations that drive measurable impact.
Deep understanding of B2B marketing metrics including pipeline generation, conversion rates, attribution, CAC, ROI, funnel velocity, and revenue performance.
Strong analytical and technical skills including SQL, Excel, and data modeling.
Experience supporting forecasting, planning, and executive business reviews.
Excellent communication and storytelling skills with the ability to influence senior stakeholders.
Ability to operate strategically while remaining hands-on in analysis and reporting.
Experience partnering closely with Demand Generation, Campaign Operations, and Revenue Operations teams.

Nice To Haves

Experience leveraging AI and automation to scale analytics and improve decision-making is a plus.

Responsibilities

Own and evolve marketing pipeline dashboards, reporting frameworks, and executive scorecards that provide visibility into funnel performance, pipeline generation, conversion, velocity, and ROI.
Build scalable reporting and analytics solutions across campaigns, channels, regions, segments, and lifecycle stages.
Develop standardized KPI definitions and measurement frameworks to ensure consistency and alignment across the organization.
Analyze marketing performance data to identify trends, gaps, risks, and opportunities impacting pipeline and revenue growth.
Deliver recurring business insights and performance readouts to marketing and executive leadership.
Partner with Marketing leadership to drive data-informed decisions that improve pipeline creation, conversion, and efficiency.
Translate data into actionable recommendations on budget allocation, campaign optimization, audience targeting, and go-to-market strategy.
Conduct deep-dive analyses to understand drivers of pipeline performance and recommend actions to improve outcomes.
Support quarterly planning, forecasting, and pipeline target-setting processes.
Build models and scenario analyses to evaluate marketing investment decisions and forecast business impact.
Identify opportunities to improve marketing effectiveness through better segmentation, attribution, funnel optimization, and campaign performance analysis.
Partner with Campaign Operations, Demand Generation, Digital Marketing, and Sales Operations teams to improve funnel health and pipeline conversion.
Monitor pipeline trends and proactively surface insights that enable faster decision-making and course correction.
Help establish a culture of measurement, accountability, and continuous optimization across the marketing organization.
Leverage AI-enabled analytics and automation tools to improve reporting efficiency and insight generation.
Serve as a trusted advisor to Marketing, Revenue Operations, Finance, and Sales leadership teams.
Influence stakeholders through clear communication, executive storytelling, and strategic recommendations.
Lead and mentor analytics team members while helping elevate analytical maturity across the organization.