Global Revenue Operations Analytics Analyst

About the role

The Global Revenue Operations Analytics Analyst at Proto Labs is a pivotal position focused on driving revenue excellence and operational efficiency through advanced data methodologies. In this role, you will own the end-to-end analytics lifecycle for core revenue functions, designing solutions that bridge the gap between raw data and strategic action. You will be responsible for analyzing sales performance, customer behavior, and operational data to identify trends and actionable insights that directly impact the bottom line. This position requires a proactive mindset as you partner with Revenue Operations and Sales leaders to support data-driven decision-making at every level of the organization. You will translate complex datasets into clear business recommendations that improve productivity and revenue performance across the enterprise. A core component of this role involves developing and maintaining robust dashboards and reports to monitor key sales and operational metrics in real time. Ultimately, you will ensure stakeholders have timely visibility into pipeline health, forecasts, sales performance, and business KPIs to guide strategic initiatives.

Key facts

What you'll do

• Analyze sales performance, customer behavior, and operational data to identify trends and actionable insights using sophisticated quantitative methods.
• Partner with Revenue Operations and Sales leaders to support data-driven decision-making by providing analytical frameworks and strategic guidance.
• Translate complex datasets into business recommendations that improve productivity and revenue performance through iterative experimentation and validation.
• Develop and maintain dashboards and reports to monitor key sales and operational metrics, ensuring visualizations are intuitive and impactful for end-users.
• Ensure stakeholders have timely visibility into pipeline health, forecasts, sales performance, and business KPIs by automating data flows and refining presentation logic.
• Maintain regular reporting cadences for monthly, quarterly, and annual business reviews, preparing materials that highlight trends, anomalies, and opportunities.
• Aggregate, cleanse, and validate data from multiple business systems, including CRM, ERP, marketing automation, and productivity platforms, to create a single source of truth.
• Conduct data integrity audits across CRM, ERP, marketing automation, and productivity platforms to eliminate discrepancies and ensure reliability.
• Ensure reporting accuracy by identifying and resolving data inconsistencies, documenting findings, and implementing controls to prevent future issues.
• Monitor business trends to uncover process improvement opportunities, leveraging domain knowledge to prioritize initiatives with the highest potential impact.
• Perform root-cause analysis using quantitative data to diagnose performance gaps and develop evidence-based solutions for complex operational challenges.
• Collaborate with cross-functional teams to optimize revenue operations processes, aligning analytics outputs with broader organizational goals.
• Provide analytical support for operational projects and continuous improvement initiatives, driving measurable enhancements in efficiency and effectiveness.
• Assist with additional Sales Operations and Revenue Operations activities as needed, demonstrating flexibility and a commitment to organizational success.

Requirements

• Hold a Bachelor's degree in Data Science, Applied Mathematics, Statistics, Business Analytics, Computer Science, or a related discipline, demonstrating a strong quantitative foundation.
• Bring + years of experience in data analytics, business analytics, sales operations, or revenue operations, with a proven track record of delivering results in fast-paced environments.
• Exhibit strong proficiency in Microsoft Excel and reporting tools, leveraging advanced features to manipulate, analyze, and present data effectively.
• Possess experience with CRM platforms such as Salesforce or HubSpot, understanding how to extract insights from customer relationship data.
• Have experience with Business Intelligence tools such as Domo, Tableau, Power BI, Looker, or similar, creating interactive dashboards that drive decision-making.
• Demonstrate working knowledge of SQL and data querying concepts, enabling you to extract, transform, and analyze data independently.
• Show an understanding of business metrics, reporting methodologies, and data visualization best practices to ensure clarity and accuracy in your work.
• Possess strong analytical and problem-solving skills to interpret complex datasets, identify patterns, and derive meaningful conclusions.
• Communicate excellently, presenting insights to both technical and business audiences in a clear, concise, and persuasive manner.
• Have experience working with cross-functional global teams, navigating diverse time zones, cultures, and operational frameworks.
• Maintain strong organizational skills to manage multiple priorities in a fast-paced environment, balancing competing demands efficiently.
• Exhibit a curious and data-driven mindset, with a passion for solving business challenges through innovative analytical approaches.
• Remain highly proactive with a continuous improvement mindset, constantly seeking ways to enhance processes, tools, and outcomes.
• Be detail-oriented with a strong focus on data quality and accuracy, ensuring that insights are reliable and actionable.

Nice to have

The source information does not specify any preferred qualifications, certifications, or skills beyond the stated requirements, so there are no items to list under Nice to have.

Practical notes

This is a full-time position based in Hyderabad. The work involves collaboration with global teams, and candidates should be prepared to engage across time zones as needed. There is no mention of specific working hours, travel requirements, visa sponsorship details, or application deadlines in the provided source material. The role is embedded within a company that manufactures functional components using technologies such as 3D printing, CNC machining, sheet metal forming, and injection molding, serving industries like medical devices, aerospace, electronics, appliances, automotive, and consumer products.