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Regalo Health
We are seeking a highly analytical and detail-oriented Data Business Analyst to join our team. In this role, you will transform complex data into meaningful insights that drive strategic business decisions for our customers and program managers.
You will partner closely with program leaders across the organization to identify opportunities, develop key performance metrics, deliver reports, and provide insights that improve operational and business performance.
The ideal candidate is an experienced analytics professional who combines strong technical skills with business acumen and the ability to communicate findings to both technical and non-technical audiences.
Data Analysis & Business InsightsAnalyze large, complex datasets to identify trends, patterns, and opportunities.
Develop actionable insights and recommendations to support strategic business decisions.
Perform ad hoc analyses to answer key business questions.
Partner with business leaders to create reporting and analytics needs.
Business Intelligence & ReportingDesign, develop, and maintain dashboards and reports using business intelligence tools.
Create executive-level reports and presentations that clearly communicate findings.
Define, monitor, and improve key performance indicators (KPIs) across the organization.
Ensure stakeholders have timely access to accurate and meaningful data.
Data ManagementExtract, transform, and validate data from multiple sources using SQL and related tools.
Maintain data integrity by identifying and resolving data quality issues.
Support the development and improvement of reporting processes and data workflows.
Assist with automating recurring reporting and data preparation tasks.
Process ImprovementEvaluate business processes and recommend data-driven improvements.
Collaborate with cross-functional teams to improve operational efficiency.
Support decision-making through forecasting, trend analysis, and scenario modeling.
CollaborationWork closely with leadership and business partners to understand priorities and translate them into analytical solutions.
Present findings and recommendations to stakeholders in a clear, concise manner.
Share best practices and contribute to a culture of continuous improvement and data-driven decision-making.
Experience with ETL processes and data automation.
Knowledge of statistical analysis and forecasting techniques.
Experience working with large, complex datasets.
Familiarity with data governance and data quality best practices.
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