About the position
Extensiv is a visionary technology leader focused on creating the future of omnichannel fulfillment. Through our unrivaled network of more than 2,000 connected 3PLs and a suite of integrated, cloud-native warehouse, order, and inventory management platforms we allow modern merchants and brands to fulfill demand anywhere with superior flexibility and scale without painful platform migrations. The Role: We are looking for a Lead Revenue Operations Analyst to support Lead to Cash revenue operations functions, including Sales Forecasting, Sales performance analytics, GTM team productivity analysis, white space analysis, customer health analysis and executive-level reporting and insights. The ideal candidate will have at least 7 years of data analytics/finance background in revenue operations at a SaaS organization. You will be focused on building scalable processes, increasing operational efficiencies, and developing informative reporting focused on our sales productivity & customer insights.
Responsibilities
• Evaluate and identify trends in the revenue functions by analyzing systems and industry data, from both within and outside the company.
• Collect and examine data and use the information gathered to create co mprehensive , actionable reports and insights.
• Present your insights to your team and to executive leadership with recommended actions.
• Develop and maintain performance dashboards that encompass key metrics to be reviewed with revenue leaders to drive and manage the business.
• Develop detailed sales forecasting methodology and infrastructure , measure forecast accuracy and continually adjust to improve accuracy.
• Analyze and report on customer performance and customer experience metrics, recommending actions based on the story the data tells .
• Independently analyze data and create a methodology for determining customer churn risk scores and prospect lead scoring models.
• Closely partner with various departments and executive leadership across the organization including Sales Leaders, Customer Support, Customer Success, Accounting, Finance, and IT to align and support business insights optimization.
• Provide day-to-day data analysis support to sales, customer success , customer support and marketing departments
• Manage quota setting and incentive compensation process for sales and customer success teams to drive performance
• Participate in the annual planning process, owning the development of sales and success team goals and staffing projections .
• Be willing to work in our Sandy, UT office 3 days a week ( T,W ,TH).
Requirements
• Minimum of a Bachelor’s Degree in Business , Finance , Data Science or related field
• Minimum of 7 years of experience as an analyst in SaaS
• Knowledge of SaaS performance metrics and terminology
• In-depth knowledge of Salesforce CRM reporting and dashboards, Salesforce CPQ experience preferred
• Expert-level Microsoft Excel skillset
• Advanced problem-solving and analysis skills
• Ability to present and provide insights using data analytics to executive-level audience
• Highly developed attention to detail
• Ability to work in a team environment
• Ability to work in a fast-paced environment
Nice-to-haves
• Experience with analytics tools such as PowerBI , Amazon QuickSight , Tableau or similar BI tools strongly preferred
• SQL and Python knowledge strongly preferred