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RevOps Analytics Manager

Job in Pine Bluff, Jefferson County, Arkansas, 71601, USA
Listing for: Actabl
Full Time position
Listed on 2026-06-06
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Join to apply for the Rev Ops Analytics Manager role at Actabl

Are you excited about a career in SaaS that has a direct effect on the hospitality industry? This might be the perfect opportunity for you! Actabl's mission is to empower the people that power hospitality. We’re on a journey to provide better solutions for hotel companies as the world around us evolves and changes related to using technology, finding labor, and maximizing profits.

We give hoteliers actionable insights to know what to do, the tools to do it, and the visibility to know it worked. We bring together powerful hospitality tech solutions to maximize profits for more than 10,000 properties in hospitality markets around the world.

Position Summary

As a Rev Ops Analytics Manager, you will play a critical role in providing actionable insights through data analysis and ensuring robust data governance across all data owned by Revenue Operations. The ideal candidate will have a strong background in data analysis, data governance, and a deep understanding of sales and marketing processes.

This role reports directly to the Director of Rev Ops and works closely with the entire Rev Ops team, as well as Sales, Marketing, and Revenue leadership. The Rev Ops Analytics Manager will also collaborate frequently with Finance and Strategy teams.

  • Advanced Analytics: Use advanced proficiency in Excel/Google Sheets, modeling, and spreadsheet analytics to support sales and marketing strategies.
  • Reporting & Dashboards: Develop and maintain insightful dashboards and reports that provide real-time visibility into KPIs, highlight deviations, and deliver actionable insights to Revenue leadership.
  • Data Management: Oversee data collection, integration, and management from various GTM systems to ensure a single source of truth for revenue reporting.
  • Data Analysis & Communication: Analyze Sales and Marketing data to identify trends, bottlenecks, and opportunities for growth and efficiency. Create clear, insightful visualizations and communicate findings effectively to stakeholders.
  • Forecasting & Planning Support: Support sales forecasting, territory planning, quota setting, and performance management through robust analysis and predictive insights.
  • Strategic Business Partnership: Collaborate with Revenue leadership to define key business questions and translate data insights into actionable strategies for revenue optimization.
  • Strategic Impact: Proactively identify and quantify opportunities for revenue growth, productivity improvements, pipeline creation, and operational efficiency across the revenue funnel.
  • KPI Monitoring: Track and report on key performance indicators regularly, ensuring visibility and accountability at all levels.
  • Data Governance: Lead efforts to uphold data quality and consistency through governance frameworks—covering data policies, stewardship, security, and continuous improvement.
  • Cross-Functional Collaboration & Support: Serve as a key Rev Ops analytics liaison, driving data-driven decision-making across teams through training, documentation, and hands‑on support.
Minimum Qualifications
  • Education: Bachelor’s degree in Data Science, Business Analytics, Information Systems, or a related field.
  • Experience: 3–5 years of experience in SaaS, focused on data analysis, business intelligence, or data governance—preferably in a sales or marketing environment.
  • Technical

    Skills:

    Proficiency in Excel/Google Sheets and SQL; experience with data visualization tools (e.g., Tableau, Sigma). Familiarity with CRM systems (Salesforce preferred) and marketing automation tools (e.g., Hub Spot).
  • Communication: Excellent verbal and written communication skills, with the ability to present complex data in a simple, actionable way for non‑technical audiences.
  • Collaboration: Strong interpersonal skills with a demonstrated ability to work cross‑functionally and navigate stakeholder needs.
  • Strategic Oversight: Deep understanding of marketing and sales tech stacks and best practices for enabling data‑driven decision‑making.
  • Analytical

    Skills:

    Self‑starter who can independently analyze complex data and communicate insights effectively to stakeholders.
  • Attention to Detail: High…
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