Data Quality Analyst

The Digital Products team supports out teams clean energy initiatives through data products and advanced analytics. The team works across customer, GIS, utility, and other large-scale datasets to create insights that support clean energy planning, grid performance, and technology integration. The Data Analyst will primarily work with existing datasets and multiple data repositories, bringing information together through queries and complex joins, validating data, identifying data quality issues and outliers, performing analysis, and developing visualizations/reports that can be used by project teams and stakeholders. Please note that we are unable to sponsor applicants requiring work authorization or visas for the positions currently available. We kindly request that only candidates who already possess the legal right to work in the United States apply for consideration.





Responsibilities:


- Reviewing, validating, and analyzing large and complex datasets
- Working across multiple data repositories and source systems
- Combining datasets using SQL, including complex joins and data transformations
- Identifying data quality issues, anomalies, trends, and outliers
- Determining whether data is appropriate and sufficient for a particular analysis
- Translating data into meaningful business/operational insights
- Building reports, dashboards, visualizations, and/or other analytical products
- Developing repeatable reporting and analytical processes
- Supporting testing and validation of analytical tools and methodologies
- Troubleshooting data issues and performing root-cause analysis
- Communicating findings and escalating data issues appropriately
- Working collaboratively with engineers, clean energy program managers, and subject matter experts
- Helping refine data aggregations, such as rolling customer account-level information into building-level profiles






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