Data Analyst at Brilliant Corners managing data analysis and reporting for housing services. Collaborating with teams to support data-driven decisions impacting vulnerable individuals.
Responsibilities
Perform data analysis using multiple data sources.
Develop, implement, and maintain reports and dashboard visualizations.
Create mapping and documentation for data sets, reports, and dashboards for technical and non-technical stakeholders.
Create best-practice documentation on data mining, analysis, and visualizations to support user training, onboarding, and adoption.
Collaborate with stakeholders to understand data needs, gather requirements, build performance indicators, and identify trends and opportunities.
Support identification, maintenance, and improvement of ETL/ELT processes.
Participate in projects across the unit, department, and organization by providing data support, including integration, migrations, and analysis.
Coordinate and communicate closely with stakeholders to ensure education and adoption of new reports and dashboards.
Support in performing program impact and gap analysis.
Other duties as assigned.
Requirements
Bachelor’s degree in Data Science, Statistics, Computer Science, FinTech, or a related field.
3+ years of experience in Salesforce Reporting and Dashboards.
Proven analytic and critical thinking skills, including evaluation, analysis, and visualization of data from multiple systems of record.
Strong Excel experience, including pivot tables, complex functions, PowerQuery, lookup functions, with ability to quickly learn other analytic tools.
5+ years of experience in data analysis or business intelligence role.
Strong experience with data visualization tools (e.g., Tableau, Power BI, Sigma).
Excellent problem-solving skills and attention to detail.
Strong communication and interpersonal skills; comfortable presenting to senior leaders.
Experience in a non-profit, human services setting is a big plus.
Experience using PowerBI, Tableau, or Sigma.
Expert proficiency in SQL.
Technical experience building data models and documenting database design and architecture to assist in identifying gaps to develop new data pipelines.
Clear technical writing experience, including queries, reports, and presentations.
Experience working with geographic information system (ArcGIS).
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