POS-19273

Job Title: Senior Payroll Business Analyst (Payroll Transformation)

The Senior Payroll Business Analyst will play a critical role in optimising, automating, and scaling global payroll processes through technology, analytics, and AI. This role will partner closely with Payroll Operations, HRIS, and other cross-functional teams to analyse existing workflows, identify opportunities for efficiency, and implement innovative solutions that improve accuracy, compliance, and overall employee experience.

You will support and execute on the Payroll Transformation Roadmap—driving automation initiatives, standardising processes, enhancing reporting capabilities, and developing KPIs that measure success and inform decision-making. This role is highly collaborative and requires strong analytical capability, excellent communication skills, and the confidence to leverage new tools including AI, automation technologies, and workflow systems.

We operate as a cross-trained team, and this role is expected to build broad expertise across all Payroll analytics, automation, and workflow responsibilities to ensure team-wide coverage and resilience.

The ideal candidate will bring strong payroll operational experience, along with general Workday knowledge and proficiency with modern data and automation tools.

Key Responsibilities:

Continuous Improvement & Innovation

• Own key components of the Payroll Transformation Roadmap, ensuring steady progress on strategic initiatives.

• Partner with payroll teams globally to understand business requirements, pain points, and opportunities for optimisation.

• Proactively recommend and implement opportunities for automation, standardisation, cost reduction, and process improvement.

• Utilise AI to improve accuracy, streamline tasks, and develop intelligent workflow solutions.

• Stay current on industry trends, tools, and emerging technologies to continuously elevate the team’s capabilities.

Data Automation & Workflow Optimisation

• Build, maintain, and scale automated workflows in Alteryx or similar tools to improve operational efficiency.

• Develop and manage data pipelines for payroll reporting, business insights, and decision support.

• Analyze Service Now data to produce dashboards, metrics, and insights that help identify trends, request patterns, and operational improvements.

• Lead or support Service Now enhancement initiatives, including workflow updates, configuration adjustments, and optimization of Payroll-related processes.

• Collaborate with cross-functional teams to maintain and enhance the Payroll Chatbot, ensuring accurate content, smooth functionality, and continuous improvement.

• Design, implement, and monitor Payroll KPIs, ensuring clear visibility into performance, accuracy, timeliness, and compliance.

• Create dashboards, analytics, and reports that help leaders understand trends, risks, and opportunities.

Project & Systems Management

• Take ownership of Workday → Payroll integrations (PECI/GPC experience a plus), including troubleshooting, requirements gathering, and partnership with HRIS.

• Provide support to Payroll Analysts on Workday issues, enhancements, and feature rollouts.

• Manage and contribute to Service Now items (enhancements, workflows, or reporting), where applicable.

• Drive strong project execution using tools such as Asana to track progress, dependencies, timelines, and deliverables.

Collaboration, Documentation, & Cross-Training

• Help build a cross-trained team environment where all members can support each other’s work.

• Create and maintain documentation for new processes, workflows, and system changes.

• Provide mentorship and technical support to team members, helping develop their analytical and automation skill sets.

• Support a collaborative, growth-oriented team culture aligned to the Payroll Roadmap and organizational goals.

Growth & Learning Opportunities

• Exposure to advanced reporting, AI-enabled insights, and predictive analytics.

• Hands-on involvement in process re-engineering and workflow optimization.

• Opportunities to expand expertise in Service Now, Workday integrations, and global payroll system design.

Qualifications & Skills

Required

• Direct experience in payroll operations, payroll processing, or payroll reporting within a complex or multi-entity environment.

• Strong analytical capability, including working with data to identify trends, generate insights, and support decision-making.

• Hands-on experience using Workday (HRIS and/or Payroll) in a payroll-related role.

• Strong problem-solving mindset with examples of improving processes or workflows.

• Demonstrated problem-solving mindset, with examples of improving processes, workflows, or controls.

• Ability to understand and troubleshoot issues across systems and integrations (e.g., HRIS, payroll platforms, ticketing tools).

• Strong organisational skills with experience managing multiple priorities in a fast-paced environment.

• Excellent communication skills, with the ability to explain complex or technical concepts to non-technical stakeholders.

Preferred

• Exposure to Workday payroll integrations (e.g., PECI, GPC) or partnership with HRIS / Integration teams.

• Experience using data tools such as Alteryx, Tableau, Power BI, Looker, or similar.

• Experience designing KPIs, metrics, or dashboards.

• Experience with Service Now, including data analysis, dashboards, or enhancement work.

• Experience building automation solutions, workflows, or working with RPA/AI tools.

• Experience supporting or collaborating on chatbots or workflow automation tools.

We know the confidence gap and impostor syndrome can get in the way of meeting spectacular candidates, so please don’t hesitate to apply — we’d love to hear from you.

If you need accommodations or assistance due to a disability, please reach out to us using this form.

At Hub Spot, we value both flexibility and connection. Whether you’re a Remote employee or work from the Office, we want you to start your journey here by building strong connections with your team and peers. If you are joining our Engineering team, you will be required to attend a regional Hub Spot office for in-person onboarding. If you join our broader Product team, you’ll also attend other in-person events, such as your Product Group Summit and other gatherings, to continue building on those connections.

If you require an accommodation due to travel limitations or other reasons, please inform your recruiter during the hiring process. We are committed to supporting candidates who may need alternative arrangements

Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Germany Applicants: (m/f/d) - link to Hub Spot's Career Diversity page here.

India Applicants: link to Hub Spot India's equal opportunity policy here.

About Hub Spot

Hub Spot (NYSE: HUBS) is an AI-powered customer platform with all the software, integrations, and resources customers need to connect marketing, sales, and service. Hub Spot's connected platform enables businesses to grow faster by focusing on what matters most: customers.

At Hub Spot, bold is our baseline. Our employees around the globe move fast, stay customer-obsessed, and win together. Our culture is grounded in four commitments: Solve for the Customer, Be Bold, Learn Fast, Align, Adapt & Go!, and Deliver with HEART. These commitments shape how we work, lead, and grow.

We’re building a company where people can do their best work. We focus on brilliant work, not badge swipes. By combining clarity, ownership, and trust, we create space for big thinking and meaningful progress. And we know that when our employees grow, our customers do too.

Recognized globally for our award-winning culture by Comparably, Glassdoor, Fortune, and more, Hub Spot is headquartered in Cambridge, MA, with employees and offices around the world.

Explore more:

• Hub Spot Careers

• Life at Hub Spot on Instagram

Hub Spot may use AI to help screen or assess candidates, but all hiring decisions are always human. More information can be found here. By submitting your application, you agree that Hub Spot may collect your personal data for recruiting, global organization planning, and related purposes. Refer to Hub Spot's Recruiting Privacy Notice for details on data processing and your rights.