.Job DescriptionThis is a remote position open for candidates in the whole country.AgileEngine is one of the Inc. 5000 fastest-growing companies in the US and a top-3 ranked dev shop according to Clutch.We create award-winning custom software solutions that help companies across 15+ industries change the lives of millions.If you like a challenging environment where you're working with the best and are encouraged to learn and experiment every day, there's no better place - guaranteed!What you will doDevelop and maintain data models (conceptual, logical, and physical) to support analytics and reporting needs; Create and manage data dictionaries, ER diagrams, and schema designs that align with business requirements; Collaborate with data architects and stakeholders to define data modeling standards and best practices; Utilize code (SQL, Python, etc.) and apply engineering, reporting, and visualization expertise to solve business problems; Develop scalable tools to drive automation and optimize business operations; Develop and lead a team of junior data analysts, providing mentorship, training, and coaching to increase technical acumen across the team; Develop scalable systems to expand reporting capabilities, facilitate ad hoc analysis, and improve data-driven decision-making at all levels of the business; Work with large, complex data sets and solve difficult data transformation problems with efficiency, applying advanced analytical methods as needed; Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations; Contribute to the establishment of standards for writing clean, organized code and documentation to streamline data and analytics workflow; Drive and promote a culture of testing, observability, and scalability with a data-driven mindset; Manage and continuously improve business user's experience with data and reporting, including KPI development, data visualization, and communication of applicable insights to audiences at varying levels of technical sophistication; Increase overall data literacy across ELC through education and advocacy; Develop partnerships with engineering, data science, and product teams to deliver on major cross-functional reporting, measurement, and testing efforts; Actively participate in ELC's diversity and inclusion agenda.Must havesBS / BA in a quantitative field; a plus if MS degree in a quantitative discipline (e.G