Data Analytics Analyst

Salesforce; Toronto; Hybrid; CAD 80,000 - 100,000; Full time

Job summary

Join a forward-thinking company as a Business Intelligence / Data Science Analyst, where you will play a crucial role in supporting the Credit & Collections function within Revenue Operations. This hybrid position allows you to work closely with business leaders, driving the complete data lifecycle from engineering to visualization. You will have the opportunity to shape data infrastructure and analytics solutions that enhance business processes and performance metrics. Collaborate with cross-functional teams to deliver actionable insights and innovative solutions that fuel growth. If you are passionate about data and eager to make a significant impact, this role is perfect for you.

Qualifications

• 2-4 years in Data Analysis, Statistics, or Computer Science.
• Bachelor’s degree in Business Analytics or a related field.

Responsibilities

• Drive data engineering and influence policies in Revenue Operations.
• Create secure data pipelines and design insightful dashboards.

Skills

Data Analysis

Statistics

Analytical Skills

Problem-Solving

Project Management

Communication

Education

Bachelor’s degree in Business Analytics

Bachelor’s degree in Statistics

Bachelor’s degree in a quantitative field

Tools

Python

R

SQL

Tableau

Tableau CRM

Oracle

Salesforce

Workday

Job description

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.

We are the Data, Analytics & Reporting team for the Revenue Operations (RevOps) organization. The core competency of Revenue Operations is managing Salesforce’s Quote-to-Cash (Q2C) process. Our team mainly supports the Credit & Collections (also known as AR Operations) function in Revenue Operations, which consists of the Collections, Credit, Bad Debt, Cash Application, Customer Service, AR Technology, and AR Operational Excellence teams. Our mission is to deliver Business Intelligence and Data Solutions with speed, scale, and control while providing fuel for Salesforce's tremendous growth trajectory. We create accurate, timely and clear “data stories” and innovative solutions that deliver scale, efficiency and effectiveness for the operations supporting Salesforce's QTC and Operating Cash Flow (OCF). This role is hybrid and meets in office 3 days a week.

The Role:

The Business Intelligence / Data Science Analyst will primarily support Credit & Collections function in Revenue Operations, managing and driving the complete data lifecycle from data engineering to analysis and visualization. The role will have the opportunity, in partnership with the Business Intelligence Analyst, to shape and build the Data Engineering and Infrastructure pillar within the Credit & Collections function, as well influence process and policies across Revenue Operations and Finance. Additionally, the role will collaborate with partners across the organization and company to build Data and Analytics solutions for complex business processes, which includes automations, ETL data pipelines, etc. The role will also closely partner with business leaders to provide key BI support and ad-hoc analysis to help the leaders understand their business and provide guidance on areas of opportunities to meet key performance metrics and scale their operations. Lastly, the role will have the opportunity to build the Data Science function, in partnership with the Financial Reporting Lead, within the Credit and Collections function as well within the Revenue Operations organization.

Responsibilities:

• Data Engineering & Infrastructure – Drive data engineering within Credit & Collections and influence Revenue Operations and Finance policies.
• Data Science Development – Build data science capabilities for Credit & Collections and Revenue Operations.
• Cross-Functional Collaboration – Engage partners to identify challenges, define requirements, and deliver actionable solutions to complex business problems.
• Data Pipeline Design – Create secure, efficient data pipelines across systems.
• Sophisticated SQL Queries – Write advanced queries with multiple data sources and complex logic.
• Automated Process & Data Curation – Create repeatable automated processes and datasets that enable financial modeling, operations intelligence, and reporting of KPIs.
• Data Visualization – Design dashboards that deliver actionable insights.
• Business Intelligence Support – Provide key BI support and ad-hoc analysis to help business leaders understand their business and provide guidance on areas of improvement and focus to meet performance metrics.
• Process Improvement & Analytics – Design, develop and implement ad-hoc experiments and pilots to improve and scale the operations as well as provide relevant data and analytics solutions.
• Data Stewardship & Innovation – Become a master of your data universe; maintain data quality and validity, and explore innovative Salesforce solutions.

Desired Skills and Experience:

• Experience – 2-4 years in Data Analysis, Statistics, Computer Science, or related fields;
• Education – Bachelor’s degree in Business Analytics, Statistics, or a quantitative field or equivalent experience.
• Programming Proficiency – Skilled in Python, R, and SQL for data pipelines and advanced analytics on large datasets.
• Data Visualization – Experience with tools like Tableau and Tableau CRM.
• Enterprise System Data Integration – Experience integrating data from systems, such as Oracle, Salesforce, Workday, or similar platforms.
• Statistical & ML Knowledge – Understanding of statistical models, predictive algorithms, ML/AI, NLP, and LLM is a plus.
• Process Optimization – Experience in process optimization, transformation, or automation.
• Analytical & Problem-Solving Skills – Strong analytical abilities with a fact-based, data-driven approach to problem-solving.
• Project & Time Management – Ability to handle various tasks and high-visibility projects with urgency and ownership.
• Communication & Collaboration – Clear and concise communication, with effective cross-functional project execution.
• Attention to Detail & Work Ethic – Highly organized, self-directed, resourceful, and dedicated to delivering high-quality work.
• Familiarity with Sarbanes Oxley and ASC 606 is a plus.

#LI-Hybrid

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