AutoNation is one of the largest automotive retailers in the United States, offering innovative products, exceptional services, and comprehensive solutions, empowering our customers to make the best decisions for their needs. With a network of dealerships nationwide strengthened by a recognized brand, we offer a wide variety of new and used vehicles, customer financing, parts, and provide expert maintenance and repair services. Through DRV PNK, we have raised over $40 million for cancer-related causes, demonstrating our commitment to making a positive difference in the lives of our Associates, Customers, and the communities we serve.
At AutoNation, we're not just interested in keeping up with the times - we're dedicated to leading the charge. We're passionate about innovation and pushing the boundaries of what's possible, all while keeping our customers, coworkers, and communities in the driver’s seat. We believe that together, we can create a brighter future for everyone.
So what do you say? Are you ready to be part of something big?
We are looking for a savvy Business Intelligence Engineer to join our growing team of Data Science and Business Intelligence. The successful candidate will work on impactful projects that range from creating various data integration pipelines and data models in the company’s data platform to understanding reporting requirements from business stakeholders and providing technical solutions. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys working with data, building and optimizing data systems from the ground up. The successful candidate will develop and maintain our data and reporting platforms and will ensure optimal data delivery architecture is consistent throughout ongoing projects. The candidate must be self-directed and comfortable supporting the data needs of multiple teams, systems and products.WE WILL DEPEND ON THIS PERSON TO
• Build the infrastructure required for optimal extraction, transformation, and load (ETL/ELT) of data from wide variety of data sources using SQL and Azure cloud services.
• Build analytics tools that utilize the data pipeline to provide actionable insight into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Marketing, Data, Engineering and Operations teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separate and secure across the boundaries of data centers and regions.
• Make sure data security and privacy is compliant with required data protection laws and regulations like CCPA, GDPR, etc.
• Collaborate and create data tools for analytics and data science team members that assist them in building and optimizing our product into an innovative industry leader.
• Create, maintain and enhance dashboards, reports and other visualizations for stakeholders.
• Tightly collaborate with Product and Engineering teams on project planning and design processes.
YOU SHOULD HAVE
• 5+ years of experience in a Data Engineering role,
• Educational background in Computer Science or Engineering, Math, Statistics, Informatics, Information Systems or another quantitative field.
• Experience with relational SQL databases, including MS SQL Server, PostgreSQL.
• Experience with Microsoft Azure cloud services: Azure Data Factory, Data Pipelines, Data Bricks, Azure Functions, Storage, SQL Database and/or Data Warehouse, etc.
• Experience with Microsoft Power BI or similar analytical and reporting tools.
• Computer programming skills including Java, JavaScript, Node.js, Python, R, SQL, XML, JSON.
• Experience with project management and collaboration tools such as Jira, Confluence, Slack, etc.
• Experience designing, building and optimizing scalable data pipelines and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• Strong project management and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• Intellectual curiosity to find new and unusual ways of how to solve data management issues.
AutoNation is committed to creating a diverse, equitable, and inclusive environment in our workplace and the services we provide. We welcome candidates from all backgrounds who are passionate about making a positive impact. Even if you do not meet every requirement, we encourage you to apply. Join our team and help us foster a culture of belonging while contributing to our revolutionary work in the automotive industry. We value innovation, teamwork, and a commitment to making a positive impact in the world.