Data Analyst

Description

We are looking for a Data Analyst to support reporting, data interpretation, and decision making. This role turns business questions into clear data plans, builds practical reporting solutions, and delivers insights that non-technical stakeholders can use confidently. The position works across multiple databases and reporting tools to organize information, evaluate trends, and present findings in a concise and meaningful way.

Responsibilities:

Translate stakeholder needs into organized data extraction and reporting approaches that support business decisions.

Develop clear reports, analytical summaries, and impact models that make complex information accessible to operational teams.

Query source systems and work with database structures, tables, and stored procedures across multiple platforms to gather accurate data.

Combine information from different datasets to create reliable measures, validate results, and connect summary trends to detailed records.

Build and maintain Excel-based dashboards, pivot-driven analyses, and presentation materials for business review discussions.

Use SQL, Excel, Power BI, and presentation tools to deliver recurring and ad hoc analysis for business partners.

Interpret relational data structures and support reporting solutions that align with data warehouse and schema design principles.

Ensure all analytical work is completed with accuracy, professionalism, and consistency with organizational standarss

Requirements

Bachelor's degree in Business, Computer Science, Healthcare Management, or a related discipline from an accredited institution.

2 to 4 years of experience in a business intelligence, reporting, or data analysis role.

Demonstrated ability to create decision-support models using multiple data sources, calculated metrics, and drill-down reporting logic.

1 to 2 years of experience writing SQL queries and working within SQL Server Management Studio or a similar environment.

Strong Microsoft Excel skills, including pivot tables, formulas, and report development for data analysis.

Working knowledge of Power BI and its core features for report creation and data visualization.

Familiarity with relational database concepts, data schemas, and sourcing datasets from enterprise systems.

Basic understanding of star schema design and how warehouse structures interact with relational databases.

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