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Sr SQL Developer- Data Analytics Location: Remote The Data Analytics Sr Developer helps bring world class Applied Analytics execution to deliver a portfolio of data analytics solutions. This developer works hands-on in data analytics ecosystem to deliver data analytics products that effectively support Business Strategy. This position requires hands-on analytics experience, data design and data modeling experience. This role requires technical expertise across data engineering, analytics engineering and business intelligence development, and a level of comfort working with both technical and non-technical partner teams. As a Data Analytics Sr Engineer you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative and diverse people around the world. Here, you will make an impact: Accountability to build and maintain a business-aligned portfolio of data analytics products inside our Analytics Ecosystem. Analyze requirements, gather data, develop logical, physical data models and designs to deploy and maintain a wide range data analytics solutions from descriptive to cognitive. Analyze data integration requirements and develop schemas in support of system integration. Work with IT and business stakeholders to ensure data models and designs support the integration of data/information flow across systems and platforms. Harvest business rules and metadata from application silos; create enterprise data solutions from business specific context to stitch it all together and drive results through analytics. Skills: Master's Degree or higher AND 3 years of data analytics experience OR Bachelor's Degree AND 4 years of data analytics experience OR High School Diploma/GED from AND 6 years of Information systems / Analytics application Consulting experience AND In addition to the above requirements, the following are also required: 3 years of building end-to-end analytics solutions (data to visualization and insights). Thorough experience directly working with structured, unstructured, and semi-structured data to produce analytics modeling and outcomes. 3 years of working with data in one more of the following areas: ERP (Oracle / SAP/ MS Dynamics), Salesforce, Pega. 3 years working with business and technical leaders to design, build and implement analytics solutions across a Business Intelligence Stack (Azure, Snowflake, SQL, Alteryx, Tableau, Power BI) Additional qualifications that could help you succeed even further in this role include: Masters in data science 2 years with ML/AI, advanced analytics, or data science software Skills include data engineering, Data Governance, Oral and written communication with senior leadership and front-line developers #DICE