Job Description
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
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