Strategic Analyst – Revenue Operations Analyst (RevOps)
The Strategic Analyst – Revenue Operations (RevOps) will support a newly established Revenue Operations function as it builds scalable analytics, reporting, and insights to drive revenue growth and improve sales performance.
This role will be responsible for developing, maintaining, and improving business dashboards and reporting tools, while analyzing operational and commercial data to identify performance gaps, trends, risks, and opportunities. The role requires strong technical expertise in Power BI, data modeling, and business data structures, combined with the ability to analyze large datasets and translate findings into clear, actionable insights.
Revenue Operations serves as a strategic enabling function focused on ensuring that revenue-driving activities are executed effectively and aligned with company objectives. While Finance focuses on financial outcomes, reporting, auditing, and planning, RevOps focuses on understanding the operational and commercial drivers behind performance and enabling data-driven decision-making across the organization.
The ideal candidate is highly analytical, detail-oriented, and capable of managing full reporting and analysis lifecycles—from data extraction and transformation to dashboard design, automation, analysis, and delivery of actionable insights and recommendations.
This is a high-impact individual contributor role with strong cross-functional exposure and executive visibility.
This is a full time, night shift, work-from-home role.
Key Responsibilities:
- Update, enhance, and maintain Power BI dashboards and reporting assets.
- Conduct data analysis to support revenue and sales performance tracking, forecasting, and operational decision-making.
- Analyze operational and commercial data to identify performance gaps, trends, risks, opportunities, and key drivers of business results.
- Translate data and findings into actionable insights and feedback to support business and commercial activities, strategy, and prioritization.
- Generate recurring and ad hoc reports based on business and leadership needs.
- Manage end-to-end report development, including data sourcing, cleansing, transformation, modeling, visualization, and delivery.
- Establish and maintain data connections and structures needed to support Power BI dashboards and scalable reporting.
- Collaborate with cross-functional stakeholders to gather reporting requirements and translate them into scalable BI and analytical solutions.
- Integrate and analyze data across business functions to provide a more complete view of revenue and operational performance.
- Validate data accuracy and troubleshoot inconsistencies across systems and reports.
- Work with ERP, CRM, and BI platforms to extract and structure datasets for reporting and analysis.
- Automate manual reporting processes where possible to improve efficiency and consistency.
- Monitor data refreshes, dashboard performance, and report integrity.
- Deliver insights in a clear, business-friendly manner and support stakeholders in interpreting findings and identifying appropriate actions.
- Support leadership decision-making through high-quality analysis, reporting, and identification of opportunities to improve execution and revenue performance.
- Maintain documentation for datasets, reporting structures, measures, dashboards, and key business metrics.
- Stay current on Power BI features, data analytics best practices, Revenue Operations methodologies, and BI tools.
Qualifications:
- Bachelor's degree in Data Analytics, Information Systems, Finance, Accounting, Business, Economics, or a related field.
- 3+ years of experience in BI reporting, data analysis, revenue or sales operations, financial/operational analytics, commercial analytics, or a similar function.
- Strong proficiency in Power BI, including data modeling, Power Query, and dashboard design.
- Experience analyzing sales, revenue, commercial, or operational performance data and translating findings into meaningful business insights.
- Experience managing data from extraction and cleansing through modeling, visualization, analysis, and reporting.
- Nice to have: Experience working with CRM and/or ERP systems such as Salesforce, NetSuite, SAP, Oracle, Microsoft Dynamics, or similar platforms.
- Strong analytical and problem-solving skills with experience handling large datasets.
- Ability to identify patterns, performance gaps, and opportunities and translate complex data into meaningful visualizations, actionable insights, and recommendations.
- Strong business acumen with the ability to understand how operational and commercial activities impact revenue performance.
- Excellent communication skills and the ability to work with both technical and non-technical stakeholders, including senior leadership.
- High attention to detail and commitment to data accuracy.
