• Designing, building, and maintaining data pipelines, models, and infrastructure for analytics • Partnering with analytics, guest engagement, media, and technology teams to ensure data reliability • Owning the transformation of raw data to trusted, analytics-ready datasets • Establishing and evolving modeling standards for consistency, performance, and usability • Owning the development and maintenance of cloud-based ETL/ELT pipelines • Monitoring pipeline health, data freshness, and quality; solving issues impacting analytics or client reporting • Implementing data quality checks and maintaining clear documentation of data processes • Collaborating with cross-functional teams to understand evolving data needs

• Design, build, and evolve scalable analytical data models, ensuring quality, performance, and alignment with the strategic needs of partner teams • Define and prioritize the data roadmap, connecting business objectives, strategic vision, and technical feasibility • Standardize processes and create documentation for historical data and new data products • Apply a product-minded approach to data to optimize and create data products that drive business impact • Serve as a technical and consultative reference for stakeholders, translating business problems into robust analytical solutions • Promote analytical autonomy across business teams, strengthening the company’s data-driven culture • Mentor and develop analysts and analytics engineers, supporting technical growth, best practices, and a sense of ownership • Contribute to the evolution of data architecture and infrastructure in partnership with the Platform team • Define and enforce quality standards, including testing, versioning, documentation, and monitoring of pipelines and analytical models

• Design and develop ETL processes • Convert existing PL/SQL procedures into SSIS packages • Troubleshoot existing ETL solutions • Query Oracle databases for data analysis and data quality assurance

• Partner with our founding team and company leadership to build out a best-in-class analytics system to give our partners insight into their parking lot and garage performance and super charge our internal organization. • Work with our engineering, data, sales, marketing, and product teams to understand the data needs of the business and produce pipelines, data marts and other data solutions that enable better decision-making. • Develop scalable code that transforms raw data in an automated and efficient manner to ensure curated and ready-to-analyze data is always available. • Identify new data sources we can leverage to improve the company’s performance in core business activities; this can take the form of collaborating with our engineering team to improve data logging, scraping data from the web, or using third-party datasets. • Troubleshoot and communicate data issues to internal stakeholders, including by building code tests to alert us when there is a problem in our data before it affects end users. • Play a critical role in helping define data team best practices, workflows, and documentation to ensure we are building a sustainable and scalable data function.