Data and Business Intelligence Associate

We are looking for a Business and Data Intelligence Associate to join our team. In this role, you will work with cross-functional partners and develop data foundations, data pipelines, data visualization assets and analysis to enable data-driven decision-making for the Customer Success organization. This is a 12 month contract role. Primary Responsibilities: • Tool and Dashboard Development: Design, develop, and maintain data tools and analytics dashboards to automate processes and provide real-time insights into customer metrics and product usage. • Foundations and Pipeline Development: Write scalable and efficient SQL to encode business logic, and develop robust pipelines on the data stack. • Data Management: Establish robust data collection, storage, and quality assurance processes to ensure the reliability and accuracy of analyses. • Project Management: Lead data projects from inception to completion, aligning with strategic goals and ensuring delivery of measurable value to the organization. • Cross-Functional Collaboration: Work closely with cross functional partners in customer success and adjacent teams to integrate data-driven insights into strategies and initiatives. • Continuous Learning and Innovation: Keep up with industry trends in data science and analytics to drive innovation and improve customer success outcomes. Basic Qualifications: • Bachelor's Degree in a quantitative discipline • 4+ years of experience with SQL/relational databases • 2+ years of business analytics experience in a medium-to-large company with demonstrated ability to navigate complex data environments and provide guidance to business leaders • 4+ years of relevant industry or relevant academia experience working with large amounts of data • 2+ years experience in at least one programming languages (e.g., R, Python, Java, Scala, PHP, JavaScript) • 2+ years of experience in data visualization and dashboard design Preferred Qualifications: • MS or PhD in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, • Statistical modeling project experience with regression models, tree models • Data pipeline development experience • Experience with data modeling, ETL (Extraction, Transformation & Load) concepts, and patterns for efficient data governance. • Experience on a / adjacent to a Business Intelligence team