Global Incentive Compensation Analytics Analyst

Salesforce, Inc.; Toronto; On-site; CAD 80,000 - 110,000; Full time

Job summary

Salesforce is hiring a Global Incentive Compensation Analytics Analyst in Toronto to enhance data-driven decision-making in sales compensation. This role involves analyzing large datasets, maintaining dashboards, and collaborating with stakeholders to ensure data integrity. Ideal candidates should have a degree in a related field, several years of experience in data analytics, and comprehensive technical skills, particularly in SQL, Tableau, and Python.

Qualifications

• 3+ years of experience in data analytics, focusing on Finance/Operations.
• Proficiency in SQL/Snowflake, Tableau, and Python.
• Strong analytical and problem-solving skills.

Responsibilities

• Analyze large datasets to identify financial and operational risks.
• Design and maintain Tableau dashboards for financial reporting.
• Develop automated data pipelines to improve operational efficiency.

Skills

Data Analysis

SQL

Tableau

Python

Data Governance

Communication

Education

Bachelor's degree in Finance, Data Science, Computer Science, Information Systems

Tools

SQL

Tableau

Python

Excel

Job description

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Global Incentive Compensation Analytics Analyst

Apply remote type Office - Flexible locations Canada - Toronto time type Full time posted on Posted 2 Days Ago job requisition id JR282471

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Job Category

Finance

Job Details

About Salesforce

We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.

The Global Incentive Compensation (GIC) team at Salesforce is a global leader for sales compensation in the technology industry. We manage the sales compensation for all Salesforce end to end - from designing the sales compensation plan to enable the company’s go-to-market strategy to administering the payment so that our sales teams get paid on time.

The GIC Analytics team strives to elevate operational efficiency and business decision-making through data-driven insights. We are looking for a passionate Data Analyst to contribute to our Data Strategy and build valuable business impact across multiple teams. As a GIC Analytics Analyst, you will curate and manage large datasets, develop dashboards, and automate key processes to mitigate risk and drive operational efficiency. The ideal candidate will have hands-on experience with technical tools like SQL, Snowflake, Tableau, and Python, and possess a deep understanding of how to bridge data insights to actionable business decisions.


Responsibilities

• Analyze & Interpret: Analyze large datasets from Salesforce, SQL/Snowflake to identify financial and operational risks, and translate findings into actionable insights.
• Develop & Maintain BI: Design, build, and maintain Tableau dashboards to support critical functions, including financial reporting, month-end close, and SOX compliance.
• Automate & Streamline: Develop and maintain automated data pipelines and solutions using Python, improving efficiency and automating manual processes such as manual key SOX controls.
• Collaborate & Communicate: Partner with stakeholders across Finance, Operations, and Business Technology to understand data needs, deliver solutions, and communicate complex information clearly.
• Ensure Data Integrity: Serve as the subject matter expert for key financial and operational data sources, ensuring data integrity, quality, governance, and adherence to SOX requirements.
• Data Governance: Develop and maintain a comprehensive Data Definition Library to ensure data governance, classification, and standardization across teams.
• Data Pipeline Management: Collaborate with Business Technology to build, maintain, and ensure the SOX compliance of critical data pipelines.
• Problem Solving: Create innovative approaches to solve challenges related to data analysis, automation and data governance.

Minimum Qualifications

• Education: Bachelor's degree in Finance, Data Science, Computer Science, Information Systems, or a related quantitative field.
• Experience: 3+ years of experience in data analytics, reporting, and data management, with a focus on Finance and/or Operations.
• SQL/Snowflake: Proficiency in SQL/Snowflake, including query authoring, optimization, and troubleshooting.
• Tableau: Proficiency in building and maintaining Tableau dashboards.
• Python: Experience with Python for data manipulation, automation, and scripting.
• Excel: Advanced proficiency in Excel.
• Data Governance: Demonstrated understanding of data governance principles and practices.
• Analytical Skills: Strong analytical and problem-solving skills, with the ability to connect data insights to business operations.
• Communication: Excellent verbal and written communication skills.
• Passion for Data: A genuine interest in data, technology, and industry trends.

Preferred Qualifications

• Education: Master’s degree in Finance, Data Science or other quantitative field preferred.
• Experience: 5+ years of relevant experience in data analytics, reporting, and data management within Finance and Operations.
• Advanced Technical Skills:
  • Advanced proficiency in Excel
  • Advanced proficiency in SQL/Snowflake.
  • Advanced proficiency in building Tableau dashboards.
  • Proficiency in Python.
• SOX Knowledge: Strong understanding of SOX compliance requirements.
• Automation Experience: Experience building automated data solutions.
• Data Governance Tools: Experience with data governance and cataloging tools (e.g., Alation, Metaspace).
• CRM/Compensation Systems: Familiarity with CRM systems (e.g., Salesforce) and compensation systems.
• Sales Compensation: Experience in sales compensation analysis or administration.
• Data Pipeline Ownership: Experience managing data pipelines across a business unit.
• Communication & Influence: Demonstrated ability to effectively communicate technical information to non-technical audiences.

Accommodations

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Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

About Us

We're Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you've come to the right place.