Revenue Operations Analytics Manager

Act as a leader in the Revenue department to build the appropriate reporting and analytics ecosystem to get revenue leaders, the CEO, and the board of directors the information they need to make effective business decisions

Provide insights and operational visibility to the revenue organization and executive leadership by building reports, dashboards, and defining metrics that are strategically aligned with business goals

Be a strategic business partner to revenue leaders in monitoring and building pipeline, analyzing the market, tracking demand, supporting their tech and data needs, as well as providing strategic insights to their respective businesses

Be a cross-functional liaison between internal and external groups to set appropriate expectations, build bridges to discover resources, and execute effective change management

Work with the Revenue Operations team to build and optimize process, analyze market opportunity, track and the customer buying journey, and measure the performance of marketing and sales

Participate in the revenue planning cycles in establishing and measuring targets appropriately across all revenue teams

Assist in coaching and guiding other members of the Revenue Operations as they build and develop reports and dashboards

BA/BS degree in Business, Marketing, Information Systems or related field

MBA or MISM preferred

5+ years experience in consulting, finance, sales operations or marketing program execution.

The ability to translate business requirements into analytics problems, and should have effective communications and project management skills in order to deliver appropriate solutions to the business leaders that they will understand, use, and help them accomplish their goals

Demonstrates expertise in modern B2B revenue operations (marketing and sales) models, technologies, processes, and concepts

Strong working knowledge of Salesforce.com and data structures

Expertise with data visualization tools (Tableau, Power BI, Domo)

Expertise with SQL (senior analyst level)

Strong data analysis experience (R, SSRS, preferred)