Data Analyst - 471993

Job Title: Data Analyst Location: Austin, TX 78727 (Hybrid – T, W, T) Duration: 6 Months – Potential extension up to 12 Months (W2 Only Role, No C2C) Job Description: We are seeking a highly skilled and detail-oriented Sales Operations and Data Analyst to join our dynamic team. The ideal candidate will have strong analytical and problem-solving skills, with a solid understanding of financial principles and data management. Key Responsibilities: • Rebate and Incentive Review Process: Review claims submitted by parters, ensuring correctness in channel partner incentive programs. • Partner Communication: Manage and respond to channel partner inquiries regarding claims, and payment status updates. Facilitate conflict resolution by communicating requirements for evidence submission. • Data Management: Extract, manage, and cleanse data from varied databases to ensure accuracy for analysis and reporting. Address and resolve data-related discrepancies to maintain integrity. • Collaboration and Problem Solving: Work closely with teams like data matching for automation initiatives, test for gaps, and offer insights for systemic resolutions. • Payment Discrepancies: Resolve payment discrepancies by applying financial acumen and analytical skills. Ensure all transactions align with established financial principles, pricing, revenue, and risk parameters. Qualifications: • Education: Bachelor’s degree in finance, Accounting, Economics, Statistics, Data Analyst, or a related quantitative field. • Experience: Prior experience in data analytics, finance operations, or payments within the technology sector is highly valued. Skills: • Strong financial acumen with an understanding of rebates, pricing discounts, claims and payments. • Demonstrated analytical skills with the ability to identify trends and propose process improvements. • Excellent communication skills for effective interaction with channel partners, internal sales teams and other departments. • Proficiency in CRM and ERP systems, and other financial tools for effective data management and reporting. Technical Proficiency: • Experience with data analysis tools and techniques, with an ability to handle large datasets and complex systems.