Global Revenue Operations Analytics Analyst

About the role

Global Revenue Operations (GRO) Analytics Analyst – India Join the team as our new Global Revenue Operations (GRO) Analytics Analyst As a Global Revenue Operations (GRO) Analytics Analyst, you will partner with Revenue Operations and Sales leadership to transform data into meaningful business insights. You will play a key role in analyzing sales performance, customer interactions, and operational metrics to improve decision-making, optimize business processes, and support revenue growth across global teams. \n What You'll Do Drive Revenue Analytics & Business Insights Analyze sales performance, customer behavior, and operational data to identify meaningful trends and actionable insights. Partner with Revenue Operations and Sales leaders to support data-driven decision-making. Translate complex datasets into business recommendations that improve productivity and revenue performance. Build Reporting & Dashboard Solutions Develop and maintain dashboards and reports to monitor key sales and operational metrics. Ensure stakeholders have timely visibility into pipeline health, forecasts, sales performance, and business KPIs. Maintain regular reporting cadences for monthly, quarterly, and annual business reviews. Ensure Data Quality & Integrity Aggregate, cleanse, and validate data from multiple business systems. Conduct data integrity audits across CRM, ERP, marketing automation, and productivity platforms. Ensure reporting accuracy by proactively identifying and resolving data inconsistencies. Identify Opportunities for Business Improvement Monitor business trends to uncover process improvement opportunities. Perform root-cause analysis using quantitative data. Collaborate with cross-functional teams to optimize revenue operations processes. Support Global Revenue Operations Work closely with Revenue Operations, Sales, and Business stakeholders on strategic initiatives. Provide analytical support for operational projects and continuous improvement initiatives. Assist with additional Sales Operations and Revenue Operations activities as needed What It Takes Technical Bachelor's degree in Data Science, Applied Mathematics, Statistics, Business Analytics, Computer Science, or a related discipline. 7+ years of experience in data analytics, business analytics, sales operations, or revenue operations. Strong proficiency in Microsoft Excel and reporting tools. Experience with CRM platforms such as Salesforce or HubSpot. Experience with Business Intelligence tools such as Domo, Tableau, Power BI, Looker, or similar. Working knowledge of SQL and data querying concepts. Understanding of business metrics, reporting methodologies, and data visualization best practices. Analytical & Collaboration Strong analytical and problem-solving skills with the ability to interpret complex datasets. Excellent communication skills with the ability to present insights to both technical and business audiences. Experience working with cross-functional global teams. Strong organizational skills with the ability to manage multiple priorities in a fast-paced environment. Mindset Curious and data-driven with a passion for solving business challenges. Highly proactive with a continuous improvement mindset. Detail-oriented with a strong focus on data quality and accuracy. \n

What you’ll do

• Partner with Revenue Operations and Sales leadership to translate data into actionable business insights
• Develop and maintain dashboards and reports for sales and operational metrics
• Aggregate, cleanse, and validate data from multiple systems ensuring data quality
• Conduct data integrity audits across CRM, ERP, and marketing platforms
• Identify trends and opportunities for process improvement through quantitative analysis
• Support strategic initiatives and continuous improvement projects within Global Revenue Operations

What you’ll bring

• 7+ years data analytics or revenue operations experience
• Proficiency in Microsoft Excel
• Experience with CRM platforms (Salesforce or HubSpot)
• Experience with BI tools (Domo, Tableau, Power BI, Looker)
• Working knowledge of SQL
• Strong analytical and problem‑solving skills
• Excellent communication and presentation abilities
• Ability to work with cross‑functional global teams

Skills

Education

Bachelor's degree in Data Science, Applied Mathematics, Statistics, Business Analytics, Computer Science or related field