Sales Operations Business Partner

Dayforce is a global human capital management (HCM) company headquartered in Toronto, Ontario, and Minneapolis, Minnesota, with operations across North America, Europe, Middle East, Africa (EMEA), and the Asia Pacific Japan (APJ) region.

Our award-winning Cloud HCM platform offers a unified solution database and continuous calculation engine, driving efficiency, productivity and compliance for the global workforce.

Our brand promise - Makes Work Life Better™ - Reflects our commitment to employees, customers, partners and communities globally.


About the opportunity
The Sales Operations Business Partner will support the day-to-day operations of Dayforce’s Americas Mid-Market sales organization. In this role, you will help ensure our sales teams operate efficiently, forecast accurately, and drive predictable, data-backed growth. Working closely with Mid-Market Sales Leadership, you will contribute to operational excellence by delivering actionable insights, streamlining processes, and strengthening rigor across the sales motion.
Reporting to the Revenue Operations Leader for Mid-Market, this role will be a key partner in supporting the segment’s priorities and enabling scalable, repeatable execution.
The ideal candidate is analytically strong, detail-oriented, and adept at translating complex data into clear recommendations for sales leaders. This is a great opportunity for an early-career professional to develop as a trusted operational partner while gaining deep exposure to sales strategy, analytics, and performance management.

What you'll get to do
• Sales Process Optimization
• Identify root causes of friction or inefficiency across the sales cycle using quantitative analysis and data modeling; recommend improvements to increase sales velocity, conversion, and predictability.
• Partner closely with frontline sales leaders to operationalize best practices, reinforce process adherence, and ensure decisions are grounded in insights rather than intuition.
• CRM Management & Reporting
• Own Salesforce (or applicable CRM) data hygiene, pipeline governance, and reporting accuracy, ensuring the integrity of the data powering sales insights and leadership decisions.
• Build and maintain dashboards, views, and workflows that empower sellers and leaders to make informed, evidence-based decisions with real-time data.
• Analytics & Insights
• Develop and deliver actionable performance insights, KPIs, and trend analyses for Sales Leadership and cross-functional partners.
• Conduct deep-dive, ad hoc analysis to identify funnel trends, risk patterns, whitespace opportunities, and other data signals—translating findings into clear narratives and recommendations that shape strategic decisions.
• Forecasting & Planning Support
• Support quarterly and annual planning cycles, including territory design, capacity modeling, and quota allocation, grounded in data integrity and historical performance analysis.
• Partner with Sales Leadership to drive forecasting accuracy through disciplined data review, improved forecasting behaviors, and ongoing optimization of the forecasting process.
• Tool Management & Enablement
• Support rollout, configuration, and adoption of key sales tools (e.g., Gong, Outreach, ZoomInfo), ensuring tools are leveraged to generate insights and reinforce performance standards.
• Ensure tools are integrated and aligned with sales motions to maximize productivity, measurement accuracy, and data consistency.
• Cross-Functional Collaboration
• Collaborate closely with Sales, Marketing, Finance, and Customer Success to align on shared metrics, data standards, and operational levers.
• Act as a strategic business partner to sales leaders, using data and analytical rigor to influence decisions, drive accountability, and highlight opportunities for improvement.

Skills and experience we value
• 2–4 years of experience in Sales Operations, Revenue Operations, Business Analytics, or a similar data-focused role (ideally within SaaS or a high-growth tech environment).
• Proficiency in Salesforce and Excel/Google Sheets, with strong experience building analyses, models, and data-backed insights.
• Strong analytical toolkit with demonstrated experience manipulating, interpreting, and synthesizing large datasets.
• Proven ability to apply a data-driven, hypothesis-based approach to problem-solving and strategic decision-making.
• Comfortable operating in a fast-paced, evolving environment while maintaining clarity, structure, and analytical rigor.
• Exceptional attention to detail and the ability to prioritize and manage multiple concurrent projects.
• Strong written and verbal communication skills, with the ability to translate complex data into compelling, story-driven ins