Lead Business Intelligence Engineer at AutoNation transforming complex data into insights that drive business decisions. Collaborate with stakeholders to develop advanced data solutions and visualizations.
Responsibilities
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.
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.
Anticipates the impact on the business of any changes to existing systems and advises internal customers as appropriate.
Formulates options, including assessing their relative merits and risks, and works to determine the best solution.
Requirements
Educational background in Computer Science or Engineering, Math, Statistics, Informatics, Information Systems or another quantitative field.
5+ years of experience in a BI Engineering role and worked on the design, deployment, and management of dashboards, delivering business insights and analytics
3+ years Experience with Microsoft Power BI, SSRS or similar analytical and reporting tools.
Ability to design, develop, and maintain logical and physical dimensional data models (star schemas, snowflake schemas) for analytical workloads
Strong Computer programming skills: SQL and Python
Experience with relational SQL databases: MS SQL Server, Snowflake or equivalent.
Experience with ETL Services: SSIS, Azure Data Factory, DBT or equivalent
Experience with project management and collaboration tools such as Jira, Confluence, 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.
Benefits
Competitive compensation and 401k matching
Enjoy a healthy work-life balance with insurance plans (health, dental, vision) and maternity benefits.
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