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We are seeking a highly skilled Senior/Lead Analytics Data Engineer to join our team at Agile Engine. As a key member of our data engineering team, you will be responsible for designing, developing, and maintaining large-scale data models and systems to support our analytics and reporting needs.
Key Responsibilities- Develop 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
- BS / BA in a quantitative field; a plus if MS degree in a quantitative discipline (e.g. Computer Science, Mathematics, Statistics)
