Senior Revenue Analytics Manager

Upside•Austin, TX

1d•$127,000 - $160,000•Hybrid

About The Position

We created Upside to transform brick-and-mortar commerce. Our technology uses the sophistication of online retail—profit measurement, attribution, and incrementality—to provide users with more value on their everyday purchases and brick-and-mortar businesses with new, profitable customers. We’ve helped millions of users earn 2 to 3 times more cashback than any other product, and hundreds of thousands of brick-and-mortar businesses earn measurable profit. Billions of dollars in commerce run through the Upside platform every year, and that value goes directly back to our retailer partners, the consumers they serve, and important sustainability initiatives. As the Senior Revenue Analytics Manager, you will be responsible for providing analytics and insights to our GTM teams and their partners, including B2B Partnerships, B2B Marketing, Sales, Account Management, Enablement, Finance, and HR. You will report into the Manager, Revenue Analytics, with dotted-line responsibilities tied to our Incentive Compensation Principal and our Revenue Operations Principal.

Requirements

5+ yrs of professional experience in business analytics including projects within a GTM / Revenue organization
Start-up / scale-up experience
Proficiency building reports and dashboards in Looker or similar BI tool
Basic knowledge of Salesforce and its reporting capabilities
Expert-level knowledge of Google Sheets / Excel
Strong SQL skills
Experience building and evaluating statistical or machine learning models (e.g., regression, tree-based models) to support forecasting, prediction, or other business analytics use case
Strong business intuition and ability to translate complex data into clear, actionable insights for business leadership
Excellent stakeholder communication skills, with experience partnering with cross-functional B2B go-to-market teams to inform key business decisions
Self-starter work ethic, entrepreneurial personality, and competitive spirit
Comfort in a fast-paced environment
Ability to work independently
Ability to exercise discretion with confidential information, such as incentive compensation

Nice To Haves

Banking or consulting experience is welcome

Responsibilities

Act as a go-to-market analytics generalist, gaining exposure to overall go-to-market strategy and insights generation by working directly on projects for Planning & Analytics team members and GTM leadership.
Support the forecasting process and its effectiveness across Sales and Accounts - leverage existing forecasting models to deliver weekly revenue and bookings forecasts in a clear, repeatable format.
Own analytical support and act as the “first line of defense” for reporting needs for various functional areas, such as Partnerships, SMB and Enablement.
Maintain, update, and develop dashboards in Looker and Salesforce to facilitate the day-to-day activities of customer-facing teams. For example, tracking our meeting-to-opportunity conversion ratio and establishing benchmarks for weekly meeting volume per salesperson.
Use data analysis and storytelling to generate actionable insights for our customer-facing teams. Develop relationships with customer-facing team members to better anticipate their needs.
Provide pre-sales account performance estimates for the Restaurant and Grocery verticals, managing requests in a timely and accurate manner.
Analyze funnel performance, sales productivity, and pipeline health to identify opportunities to improve revenue organization efficiency and inform strategic decisions.
Contribute to the evolution of our forecasting models, to increase their ease of use, sophistication, and accuracy.
Support annual and quarterly planning efforts for the RGTM org as needed, especially providing reports that help sales and accounts managers design their books of business equitably.
Partner with the Rev Ops team to design processes and data capture that deliver the analytics needed with Salesforce and in other BI tools, deriving from Salesforce data.
Contribute to the direction of the Revenue Analytics function by helping define core metrics, analytical priorities, and scalable reporting frameworks.