Job Description An employer in Bentonville, AR is looking for a Data Analyst with eCommerce domain knowledge to join their team. In this role, you will be responsible for identifying trends, patterns, and anomalies related to fraudulent activity on our ecommerce platform. Your primary focus will be ensuring that the rule-based models in place are effectively detecting and minimizing fraudulent transactions. This person will be expected to perform daily and weekly analytics reporting tasks and have the skills to identify fraud trends and exceptions. They will provide insights from the data to support the Senior Manager in fraud model rules decision making. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements 5+ years of experience in a Data Analytics role eCommerce domain experience Experienced in conducting in-depth analyses of model performance to uncover patterns, trends, and anomalies, and to assess the effectiveness of rule modifications and refining where necessary Experience with the GCP cloud platform and BigQuery Experience with Oracle database Proficiency with SQL and GoogleSQL Experienced in designing and implementing rule-based models to guide strategic business decisions Strong investigation, collaboration and communication skills eCommerce Fraud domain knowledge