Analytics Manager

About the Role

Key Responsibilities

• Build and manage key deliverables for the global GTM analytics reporting suite (starting with the Intacct product), ensuring scalable, reliable, and actionable insights.
• Partner with Data Product and GTM Analytics leaders to define and evolve operational KPIs that measure the success of Sage's growth initiatives.
• Lead end-to-end advanced analytics and machine learning projects (e.g., forecasting, classification, segmentation, lifetime value modeling, pricing optimization, causal inference), from data preparation through deployment and monitoring.
• Embed predictive and advanced analytics into reporting workflows, including integration of ML models and emerging Generative AI capabilities to automate insights, enhance storytelling, and improve user interaction.
• Deliver deep-dive analyses and root cause investigations to uncover drivers of performance and provide clear recommendations to senior management.
• Partner with stakeholders across global and regional Commercial Operations teams to translate analytics into business impact and strategic GTM decisions.
• Document key methodologies, assumptions, and calculations to ensure transparency and reproducibility of analytics outputs.
• Own and manage a pipeline of ad-hoc analytics projects, tracking progress and ensuring alignment with commercial strategy.
• Mentor and coach junior analysts in predictive modeling, advanced analytics techniques, and best practices, fostering a collaborative, inclusive, and growth-oriented culture.
• Act as a trusted advisor to GTM executives, communicating insights and influencing decision-making at the highest levels.

Requirements

• 8+ years of progressive experience in analytics, data science, or related fields.
• Hands-on expertise in predictive modeling and machine learning (e.g., regression, classification, time-series forecasting, segmentation).
• Proficiency in Python or R, with deep expertise in ML libraries (e.g., scikit-learn, TensorFlow, PyTorch) and strong SQL skills.
• At least 2 years of experience with Power BI (or similar BI platforms) for advanced dashboarding and data visualization.
• Demonstrated ability to lead and mentor small teams, elevating analytics and ML capability across the organization.
• Proven track record of delivering advanced analytics projects that informed commercial or GTM strategy.
• Strong communication and stakeholder management skills, with the ability to translate complex technical findings into business insights.
• Familiarity with Generative AI technologies and their potential application in enhancing insights, automation, and user experience.

Nice to Have

• Marketing analytics background desirable.

Benefits & Perks

• Competitive salaries that landed us top 5% of similar sized companies (according to Comparably).
• Comprehensive health, dental and vision coverage.
• 401(k) retirement match (100% matching up to 4%).
• 32 days paid time off (21 personal days, 10 national holidays, 1 floating holiday).
• 18 weeks paid parental leave for birth, adoption or surrogacy offered 1 year after start date.
• 5 days paid yearly to volunteer (through Sage Foundation).
• $5,250 tuition reimbursement per calendar year starting 6 months after hire date.
• Sage Wellness Rewards Program ($600 wellness credit and $360 fitness reimbursement annually).
• Library of on-demand career development options and ongoing training offerings.