Who We Are For over 20 years, SPINS has been a leader in recognizing the transformative power of data in retail. We offer our clients cutting-edge tools to attract attention from a fast-growing segment within the Health & Wellness industry, the values-based consumer. Nearly half of shoppers prioritize products that emphasize wellness, social responsibility, and sustainable practices. SPINS retail consumer insights, analytics, and consulting services give our clients a competitive advantage to increase their share of this growing market. Our data is the most comprehensive and accurate in the industry, allowing clients to power AI models and machine learning algorithms that help them better understand and meet their customers' needs. At SPINS, behind all of our impressive data is our real differentiator, our people. We pride ourselves on our collaborative, flexible, and communicative culture that puts people at the center of everything we do. Data Quality Support Analyst The Retail Data Operations team is responsible for ensuring the timely delivery of quality and accurate Retailer sales data. This role involves proactively monitoring, analyzing, executing, tracking, measuring, and reporting on data quality issues. Success is measured by the successful ingestion and publishing of complete, high-quality client data resulting in high client engagement, cooperation, and ongoing participation with SPINS. Overall Responsibilities: Handle the verification of data through a custom application Continually ensure adherence to data quality standards Resolve all data exceptions promptly to ensure there is no negative impact downstream Identify the root cause of data quality errors and resolve them Correctly and efficiently classify alerts as a true data quality issue that was caught, versus a false alert that was not a true data issue Provide recommendations on process improvements to enhance overall data quality To be successful in this role, these qualifications are a must: