Principal Data Analyst

Responsibilities Leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems. Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms. Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers. Provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization. Drive analysis that provides meaningful insights on business strategies. Understand and adhere to the principles of data quality management including metadata, lineage, and business definitions. Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance. Build and execute tools to monitor and report on data quality. Requirements Degree specialized in a Science, Technology, Engineering, Mathematics discipline. Scripting experience in Python, R, Spark, and SQL. Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data). Experience utilizing and developing within AWS services. At least 5 years of experience performing data analytics or a Master’s Degree plus at least 3 years of experience performing data analytics. At least 3 years of experience working with at least one scripting language. At least 3 years of experience utilizing a business intelligence visualization tool. At least 3 years of experience in querying, analyzing, and working with data languages and platforms. Certifications & Qualifications Master’s Degree #J-18808-Ljbffr