Data Analyst
- Become an expert on the Museum's data on attendance, web traffic and marketing efforts, able to quickly respond to ad-hoc requests and questions.
- Regularly meet with Museum stakeholders from Marketing, Finance, Advancement and other groups, discuss their analytic requirements and distill those conversations into specific tickets that will meet their needs.
- Query our Snowflake data warehouse, joining and aggregating data from multiple sources to produce meaningful metrics and semantic models.
- Build reports and data visualization applications in Microsoft PowerBI, and train business users on how to best use these reports to interpret the charts and make data-driven decisions.
- Administer and "own" PowerBI workspaces, handling access and license requests, and monitoring data quality to ensure all reports are accurate and up to date.
- Collaboration. The data team interacts with almost every department at the Museum, and we are working to build a data community based on mutual support and open communication.
- Innovative Spirit. As we strive to embrace new technologies and analytic methods, we need to constantly ask "what next?" and "how could this be improved?" and not be afraid to try something new.
- Data Leadership. Building a culture of data literacy takes time, and we need all members of the data team to show a bias for action by proactively identifying problems or opportunities, and suggesting new data solutions
- Attention to Detail and Quality. As the saying goes: 'Garbage in, garbage out.' The data team stands as the primary line of defense to ensure the Museum's data meets all standards for quality, accuracy, relevance and security.
- SQL; experience in cloud-based data warehouses like Snowflake a plus.
- Data visualization and report development, in tools like PowerBI, Tableau, Looker or Qlik.
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