As Lead, Revenue Operations, you will play a crucial role in optimizing our revenue processes, ensuring accuracy in financial reporting, and driving efficiency across our revenue operations. This role requires a strong understanding of financial data analysis, experience with revenue recognition principles, and the ability to collaborate effectively with cross-functional teams.
● Oversee and manage the financial reporting process, ensuring accuracy and timeliness of revenue recognition.
● Analyze financial performance related to fixed price, T&M, and retainer contracts.
● Monitor revenue streams and margins, identifying trends and areas for improvement.
● Develop and maintain financial models to forecast revenue and profitability.
Data Analysis and Insights:
● Utilize advanced Excel skills to analyze large datasets, summarizing key findings for executive management.
● Extract actionable insights from financial data, providing recommendations to optimize revenue and margins.
● Collaborate with cross-functional teams to gather relevant data and ensure comprehensive financial analysis.
Process Improvement:
● Identify and implement process improvements to enhance the efficiency and accuracy of revenue operations.
● Develop and maintain standard operating procedures for revenue recognition and financial reporting.
● Stay updated on industry trends and best practices, ensuring the company’s revenue operations remain competitive.
Contribute to organization building through training, mentoring and developing repeatable analytic approaches.
● Revenue Analysis: Analyze revenue streams, trends, and key performance indicators (KPIs) to provide actionable insights to senior management.
● Financial Reporting: Prepare and review revenue reports, ensuring accuracy and compliance with accounting standards and company policies.
● Process Optimization: Identify opportunities to streamline revenue operations processes and improve efficiency.
● Cross-functional Collaboration: Work closely with Sales, Finance, and Insights teams to ensure alignment on revenue forecasts, bookings, and reporting.
● Data Integrity: Maintain data integrity in revenue systems and databases, performing regular audits and reconciliations.
● Revenue Recognition: Apply knowledge of revenue recognition principles (e.g., ASC 606) to ensure proper accounting treatment for revenue transactions.
● Forecasting and Planning: Support revenue forecasting and budgeting processes, providing insights into future revenue trends and opportunities.
● Continuous Improvement: Proactively identify and implement improvements to revenue processes and systems to support business growth and scalability.
● Ad-hoc Analysis: Conduct ad-hoc financial analysis and reporting as required by senior management or other stakeholders.
● Bachelor’s degree in Finance, Accounting, Business Administration, or a related field; MBA or CPA preferred.
● Minimum of 3-5 years of experience in revenue operations, financial analysis, or related roles within the IT services industry.
● Strong understanding of fixed price, T&M, and retainer contract structures and their financial implications, Google Apps Script, macros, and automation framework
● Advanced proficiency in Excel, with experience in handling and analyzing large datasets.
● Excellent analytical and problem-solving skills, with the ability to extract insights and provide actionable recommendations.
● Strong communication and presentation skills, with the ability to convey complex financial information to non-financial stakeholders.
--- Seniority level: Associate Employment type: Full-time Job function: Finance Industries: Business Consulting and Services and IT Services and IT Consulting
Opens the original job posting on tigeranalytics.com
Tiger Analytics is a data science and AI consulting firm that helps enterprises solve complex business problems through advanced analytics, machine learning, and AI solutions. The company serves Fortune 500 clients across industries including retail, financial services, and telecommunications, focusing on driving measurable business impact through data-driven insights and strategic implementation.
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