📍 Location: Remote, USA 💻 Work Arrangement: Remote

The Lead Pipeline Analyst is responsible for driving data-informed decision-making across Hyland's marketing organization by analyzing campaign performance, end-to-end funnel health, and marketing's contribution to pipeline and revenue. This role applies advanced analytical expertise to evaluate pipeline performance and marketing effectiveness — identifying opportunities to optimize conversion and influencing strategic decisions through actionable insights delivered to senior stakeholders.

Operating with a high level of autonomy, this position defines analytical approaches and executes complex analyses to support strategic marketing initiatives. Leveraging expertise in pipeline intelligence, conversion optimization, demand performance analysis, forecasting, and AI-enabled insights, the Lead Pipeline Analyst serves as a trusted advisor to Marketing leadership — providing consultative guidance on trends, performance drivers, and optimization strategies while shaping measurement frameworks and influencing marketing investment decisions across the organization.

• Lead analysis of pipeline health, funnel conversion, stage progression, pipeline coverage, and revenue performance across the demand waterfall — identifying pipeline gaps versus targets and the operational and programmatic drivers impacting performance.
• Analyze full-funnel performance across key stages including MQL, SQL, opportunity, and pipeline creation — monitoring trends, bottlenecks, and opportunities to improve conversion velocity and overall pipeline effectiveness.
• Measure and report on campaign effectiveness including lead generation, engagement, pipeline creation, influenced revenue, and return on marketing investment — developing insights and recommendations to optimize programs, targeting, and resource allocation.
• Develop and maintain dashboards, scorecards, and executive-level reporting to support data-driven decision-making, and conduct ad hoc and strategic analyses to support planning, forecasting, and business decisions.
• Partner with Marketing leadership and cross-functional stakeholders to define and evolve KPIs, measurement frameworks, and reporting standards — presenting findings and recommendations in a clear and actionable manner to senior audiences.
• Operate as a trusted advisor and innovative thought leader — staying current on marketing analytics best practices, mentoring and coaching team members, and contributing to the overall growth and effectiveness of the marketing organization.

• Salesforce
• Marketo
• HubSpot
• Eloqua
• Tableau
• Power BI
• Looker

• Bachelor's degree in Marketing, Business Analytics, Statistics, Economics, or a related field, with 8+ years of experience in marketing analytics, campaign performance, pipeline analytics, or demand generation analytics.
• Strong understanding of revenue funnel management, pipeline analytics, and B2B SaaS marketing performance metrics — including funnel conversion, demand generation, and revenue attribution.
• Proven ability to analyze complex data sets and translate insights into actionable business recommendations, with experience building executive-level dashboards and presenting to senior stakeholders.
• Experience with CRM and marketing automation platforms (e.g., Salesforce, Marketo, HubSpot, Eloqua) and advanced experience with reporting and visualization tools (e.g., Tableau, Power BI, Looker).
• Strong communication skills with the ability to translate technical insights to non-technical audiences — combined with a demonstrated ability to influence senior stakeholders and drive strategic decision-making through data.

• Experience leveraging AI-enabled analytics, predictive modeling, or automation technologies in marketing or revenue operations environments.
• Experience supporting B2B SaaS or enterprise software organizations, with a strong understanding of pipeline forecasting and revenue performance metrics.
• Experience analyzing multi-channel marketing programs including digital, events, content, and partner marketing initiatives.
• Experience building automated reporting and self-service analytics solutions that improve data accessibility and enable faster decision-making across the organization.
• Familiarity with AI-driven analytics or predictive modeling tools, with a forward-thinking approach to continuously evolving methodologies and performance measurement practices.

The compensation range for this role is $130,000 – $140,000. Actual compensation will be determined based on experience, qualifications, and other job-related factors in accordance with applicable laws.