Senior Data Analyst, Revenue Operations

Meet Benevity
Benevity is the way the world does good, providing companies (and their employees) with technology to take social action on the issues they care about. Through giving, volunteering, grantmaking, employee resource groups and micro-actions, we help most of the Fortune 100 brands build better cultures and use their power for good. We're also one of the first B Corporations in Canada, meaning we're as committed to purpose as we are to profits. We have people working all over the world, including Canada, Spain, Switzerland, the United Kingdom, the United States and more!

Benevity is seeking an experienced, passionate, and curious Senior Data Analyst, Revenue Operations who will partner with our growing Client Success, Marketing, and Sales teams focused on growing our existing Clients Base.

Leveraging your skillset, you'll work hand-in-hand with our Go-to-Market and Financial Planning & Analysis Teams. Day-to-day, you'll be playing a crucial role driving data strategy and analysis to support revenue growth across the organization. If you are a business-minded, self-starter who thrives in an environment where people are passionate about using their strategic and financial acumen to make a difference in their work – and the world – this role is for you!

What you'll do:

• Build and manage revenue data infrastructure and governance strategy to ensure data reliability
• Create and implement data-driven strategies to increase revenue
• Work closely with business stakeholders and RevOps analysts in gathering requirements and building solutions to derive insights from data using agile planning and iterative development processes
• Own the data architecture and schemas that support reporting and analytics for the Go-To-Market function
• Build and evolve data models and schemas in response to business needs and analytics best practices
• Utilize expertise in data modeling and transformation concepts to work with large volumes of data to perform analysis and provide recommendations to enable data-driven decision making
• Design and maintain intuitive dashboards, reports, and visualization in Business Intelligence tools that provide meaningful insights to stakeholders
• Use best practices in data visualization to clearly and effectively communicate complex findings
• Implement rigorous data quality checks and validation processes to uphold data integrity
• Proactively identify and resolve data discrepancies to ensure accurate reporting and analysis
• Mentor and lead fellow analysts on the team

What you'll bring:

• The ideal candidate will be exceptionally organized, capable of juggling multiple projects under tight deadlines, and possess keen situational awareness
• Experience in data modeling, data analysis, reporting, and process improvement, especially within SaaS operations, is essential
• The role demands excellent analytical, problem-solving, and organizational capabilities, with a focus on independent decision-making and project management.
• A results-oriented individual who is mindful of work quality, capable of collaborating across the organization, and skilled in communicating with all levels
• A commitment to fostering teamwork, cooperation, and conflict resolution to achieve organizational goals is essential
• Experience working with executive stakeholders across cross-functional business groups including Marketing, Sales, Client Success and Finance
• Ability to work with CRM datasets and develop reports and dashboards in Salesforce, Tableau, PowerBi, Quicksight, Looker, Domo or similar Business Intelligence tools
• Must have hands-on experience developing workbooks and dashboards using Tableau Desktop and Tableau Prep or similar Business Intelligence and Visualization tools
• You should have the ability to interpret data effectively and communicate findings clearly, along with practical knowledge of SaaS applications (e.g., Salesforce, ZoomInfo), spreadsheet software (Excel, Google Sheets), and commission tools (Spiff, Xactly).
• 3-5 years of experience working with analytics and databases, with a strong understanding of data modeling, manipulation, analysis and visualization
• Excellent written and verbal communication skills. Experience working with business stakeholders in converting requirements to solutions