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Payworks Payroll Services Canada

Sales Operations Analyst

Winnipeg, MB, Canada

Job type: Full-time
Apply by: Oct 28, 2026
Experience: + 3+ years of experience in Sales Operations, Revenue Operations, Business Intelligence, or a related analytical role, ideally within a B2B SaaS environment.
Posting language: English
Posted: Sep 28, 2026

Apply About employer

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Original job description

Doing business to business, person to person. Payworks is a leading workforce management solutions provider and multi-year winner of the Canada’s Best Managed Companies program. We are proudly Canadian and committed to developing world-class products and providing a progressive workplace culture where Doing Right by People is our purpose.

With clients of all sizes and nearly 700 employees, we currently have an exciting opportunity on our Sales team for the right candidate. Because when it comes to great people, there’s always room for one more.

DOING RIGHT BY PEOPLE – IT’S WHAT WE DO

Reporting to the Sales Operations & Analytics Manager, the Sales Operations Analyst is responsible for the analysis, reporting, and operational support that keep the Sales organization running effectively and efficiently. This role supports the systems and processes that underpin Sales - including forecasting, pipeline reporting, conversion analysis, territory and capacity data, and the reporting used by Sales leadership and the Executive Leadership Team. You will work closely with Sales Managers and cross-functional partners in Marketing, Finance, and Implementation to ensure data integrity, accurate reporting, and strong sales productivity in a high-volume, SMB-focused payroll SaaS environment.

WHY YOU SHOULD CHOOSE PAYWORKS

+ Comprehensive employer paid benefits, including a Health Spending Account, for you and your family and excellent pension plan with employer contributions.

+ Plenty of professional development opportunities.

+ Community-minded culture – Receive two paid days per year to volunteer and lots of opportunity to “Pay it Forward”.

+ Time and flexibility to meet your needs – Hybrid work model with flexible work options, plus 3 weeks vacation to start, flex time and parental leave benefits.

+ Cool perks – Annual Lifestyle Spending Account, fun office environment and events, and more!

ANALYZE. OPTIMIZE. GROW – IT’S WHAT YOU’LL DO

+ Sales Reporting & Analytics – Build and maintain Power BI dashboards and executive scorecards that provide visibility into sales performance, pipeline health, and revenue trends. Write DAX formulas for complex KPIs, time intelligence calculations, and comparative period analysis. Analyze funnel health and conversion rates at each stage, track key sales KPIs including pipeline coverage, win rates, sales cycle length, and account executive productivity, and deliver clear insights and recommendations to Sales leadership and the Executive Leadership Team.

+ Pipeline Management & Forecasting – Prepare and maintain weekly, monthly, and quarterly forecast reporting for review by the Sales Operations & Analytics Manager and CRO. Identify pipeline gaps, slippage risks, and coverage requirements. Analyze pipeline stage conversion and deal velocity, and maintain the territory and pipeline data that Sales Managers depend on to execute their plans.

+ Territory & Capacity Support – Support territory modeling and capacity analysis, creating and maintaining the data and models that keep account distribution equitable and aligned with sales capacity and growth targets.

+ Apply data science to territory design - using Python, geospatial analysis, and clustering algorithms to build balanced territories optimized across rep workload, revenue potential, and geography. Support quota-setting and capacity planning by preparing the underlying data and models.

+ Systems & Sales Process – Maintain CRM data quality, pipeline hygiene, and reporting standards across the Sales organization. Help document and maintain the end-to-end sales process to support consistency and scale. Support change initiatives by defining process impacts, systems updates, and success metrics. Monitor tool usage to ensure it accurately reflects real sales behaviour and workflows, flagging gaps to the Sales Operations Manager.

+ Data Science & Advanced Analytics – Develop, deploy, and apply machine learning models for business use cases including forecasting, scoring, and classification using scikit-learn, XGBoost, or similar libraries. Write SQL to extract, clean, and transform data across sales systems, building reliable pipelines that ensure reporting is built on accurate, well-structured data. Use Python for data manipulation and automation, and leverage visualization libraries to communicate findings effectively.

WHAT YOU’LL NEED TO SUCCEED

+ 3+ years of experience in Sales Operations, Revenue Operations, Business Intelligence, or a related analytical role, ideally within a B2B SaaS environment.

+ Hands-on experience building reports and dashboards in Power BI, producing actionable visualizations for sales leadership.

+ Hands-on experience with Salesforce Sales Cloud; Salesforce Administrator certification is an asset.

+ Demonstrated Python proficiency for data manipulation and automation (pandas, NumPy); experience with data visualization libraries (matplotlib, seaborn, Plotly) is an asset.

+ Strong analytical, reporting, and data interpretation skills with the ability to surface insights and recommendations from complex data.

+ Familiarity with revenue intelligence tools and AI-enabled sales platforms such as Gong, Clay, or similar is preferred.

+ Strong stakeholder communication skills with the ability to partner across Sales, Marketing, and Finance.

BONUS SKILL SET

+ Exposure to quota and territory modeling is an asset.

+ Experience in payroll, HCM, or HR technology is considered an asset.

We are proud to support a Flexible Work Plan that recognizes the diverse needs and lifestyles of our people. The Sales Operations Analyst has the option to work fully from the Payworks head office in Winnipeg or on a hybrid work model, working in the office at least three (3) days a week.

Payworks is committed to providing an inclusive, accessible environment, and collaborating with employees, clients and guests to identify and effectively remove barriers, in a manner that respects the principles of independence, dignity, integration, reasonable accommodation and equal opportunity. Payworks welcomes and encourages applications from all persons. Individuals applying for employment with Payworks may request accommodations at all stages of recruitment and employment from Human Resources.

Employees at Payworks’ come from different backgrounds, and we celebrate those differences. We are looking for the best candidate for this opportunity, but do not expect applicants to meet every qualification in order to be considered.

We may use AI-assisted tools for organization, sorting, and workflow management - however, we pride ourselves on a high-touch, human-centered process.

This posting is for an existing vacancy within our team.

Apply About employer

More about this job

Responsibilities

Build sales dashboards, executive scorecards, forecasts, and pipeline analyses, providing actionable insights on performance, conversion, revenue trends, and sales productivity. Maintain sales data, systems, and processes, and support territory design, capacity planning, and advanced analytics using tools such as Python, SQL, and machine learning libraries.

Requirements

Requires at least three years of experience in Sales Operations, Revenue Operations, Business Intelligence, or a related analytical role, ideally in B2B SaaS, along with hands-on Power BI and Salesforce Sales Cloud experience. Candidates should demonstrate Python proficiency, strong analytical and communication skills, and the ability to collaborate across teams; experience with revenue intelligence tools, territory modeling, or payroll, HCM, and HR technology is an asset.

Skills

Sales Operations
Power BI
DAX
Salesforce Sales Cloud
Python
SQL
Data Analysis
Sales Forecasting
Pipeline Management
Territory Modeling
Capacity Planning
Machine Learning
Data Visualization
CRM Data Quality
Stakeholder Communication
Revenue Operations

Benefits

Employer-Paid Benefits
Health Spending Account
Pension Plan With Employer Contributions
Professional Development Opportunities
Paid Volunteer Days
Hybrid Work Options
Flexible Work Options
Three Weeks of Vacation
Flex Time
Parental Leave Benefits
Lifestyle Spending Account

Visa sponsorship

Not detected in the job text

Keywords

Power BI
DAX
Salesforce Sales Cloud
Python
Pandas
NumPy
Matplotlib
Seaborn
Plotly
SQL
Scikit-Learn
XGBoost
Gong
Clay
Machine Learning
Forecasting
Pipeline Reporting
Funnel Analysis
Conversion Rates
Territory Modeling
Geospatial Analysis
Clustering Algorithms
Quota Setting
Capacity Planning
CRM Data Quality
Revenue Intelligence
B2B SaaS
Payroll
HCM
HR Technology

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