Revenue Operations Data & Analytics Manager

Summary

Join Nextiva's world-class Revenue Operations team as a Data & Analytics Manager and redefine the future of customer experiences. You will design and maintain dashboards and reports, lead complex analysis projects to identify and solve pipeline inefficiencies, collaborate with cross-functional stakeholders, and ensure data governance. Partner with the BI team to streamline data integration and translate business questions into data-driven solutions. Respond to ad hoc requests and maintain high data integrity. This role requires strong analytical skills, experience with data visualization tools (Power BI preferred), SQL proficiency, and experience with Salesforce and other supporting systems. Nextiva offers a competitive salary, comprehensive benefits, and opportunities for professional growth.

Requirements

• 7+ years of experience in Revenue Operations, business analytics/intelligence, FP&A, or related analytics roles
• Strong understanding of operations, processes, data, and KPIs across the key Revenue Operations Stakeholders: Sales, Marketing, Account Management, Solutions Consulting, Customer Success, Finance
• Hands-on experience building both datasets and dashboards with Power BI (or a similar data visualization tools like Tableau, Looker, or Sigma)
• Intermediate to advanced proficiency in Excel
• Proficiency in SQL with demonstrated ability to write complex queries
• Experience working with and integrating data from SalesForce, and supporting systems like HubSpot, Outreach, etc. or similar vendors.(Marketo, Pardot, SalesLoft, Gong)
• Solid understanding of forecasting methodologies, data hygiene best practices, and sales/revenue metrics
• Strong ability to gather business requirements, translate them to technical requirements, and execute

Responsibilities

• Design and maintain intuitive dashboards and reports that support business stakeholders, ensuring the outputs are actionable, aligned with business objectives, and scalable as the organization grows
• Conceptualize and lead complex analysis projects to identify inefficiencies and/or performance issues in the pipeline process (lead to advocate) and recommend improvements to overcome the identified issues
• Collaborate with Finance and Revenue leaders to define KPI targets
• Collaborate with teams across the business to uphold strong data governance practices, focusing on the consistency, accuracy, and clarity of critical revenue data sets
• Partner closely with business intelligence to define the structure of data pipelines and streamline integration across source systems
• Work with finance, revenue, and accounting leaders to translate business questions into data-driven solutions, surfacing insights that directly support strategic planning and execution
• Respond to ad hoc data and reporting requests with precision and timeliness, supporting audits, leadership reporting, and other urgent analytics needs with clear, reliable outputs
• Ensure all analytics solutions are well-documented and rigorously tested, maintaining a high standard of data integrity and reducing the risk of reporting errors

Preferred Qualifications

Experience with Python and statistical modeling

Benefits

• Multiple health plan options to suit your needs, including medical, dental, vision, and telemedicine coverage
• Life, disability, and supplemental indemnity plans
• Flexible Time Off (FTO) for salaried employees, PTO for hourly employees, Paid Sick Time (PST), paid parental bonding leave, and paid holidays
• 401(k) with company match, Health Savings Accounts with company contributions, Dependent Care FSA
• Employee Assistance Program and comprehensive wellness initiatives
• Access to ongoing learning and development opportunities and career advancement