Lead Billing Data Analyst

Position Title: Lead Billing Data Analyst Location: Remote within the US Duration: 11-Month Contract Compensation: $30-$40/Hour Position Overview We are seeking a proactive and detail-oriented Billing Data Analyst to oversee and manage the manual billing program for digital products. This role will lead a team of billing specialists, project managers, and collections/adjustment agents, ensuring accurate and timely billing operations. The ideal candidate combines strong leadership skills with operational expertise and a deep understanding of billing and financial processes. Key Responsibilities • Lead and manage the end-to-end manual billing program for digital products. • Provide oversight to a team of approximately 7–10 specialists, project managers, and agents. • Monitor team performance to ensure accuracy, efficiency, and timely completion of billing activities. • Develop and enforce quality control measures and standard operating procedures (SOPs) for all billing tasks. • Act as the primary point of contact for cross-functional teams (Marketing, Finance, Sales, Operations) regarding billing issues, escalations, and data needs. • Drive continuous improvement initiatives to streamline manual processes, enhance data integrity, and reduce operational risk. • Ensure compliance with internal controls, audit requirements, and billing policies. • Support onboarding and training of new billing team members. • Provide monthly reporting and updates on billing status, key metrics, and team performance to leadership. Required Skills & Experience • 5+ years of experience in billing, financial operations, or data analysis, with at least 2 years in a leadership role. • Strong knowledge of billing processes, financial controls, and compliance standards. • Experienced managing large billing data sets (e.g., 4–7 million transactions). • Skilled in reading and interpreting data; knowledgeable in working with APIs. • Expertise in Excel formulas and functions, including Pivot Tables and VLOOKUPs. • Ability to communicate effectively with technical teams to address gaps and automate processes. • Experienced with data extraction tools such as Insomnia. • Proficient in SQL for data querying and analysis.