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Senior/Lead Analytics Data Engineer
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**Job Summary**
Agile Engine, LLC. is seeking a highly skilled Senior/Lead Analytics Data Engineer to join our team. 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 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. 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.
**Requirements**
- BS/BA in a quantitative field; a plus if MS degree in a quantitative discipline (e.g., Statistics, Operations Research, Economics, Computer Science, Mathematics, Engineering) or equivalent practical experience.
- Proven experience as a Data Engineer, with a focus on analytics and data modeling.
- Strong proficiency in SQL and experience with data modeling tools.
- Knowledge of programming languages such as Python, Java or Scala.
- Expertise in Google Cloud Platform (GCP) services, including BigQuery.
