Senior Analyst, Business Intelligence

Overview

This role is responsible to drive data-driven decision-making and enable strategic insights within the organization. This role is also responsible for processing, gathering, analyzing, and visualizing complex data sets to provide actionable recommendations that impact business performance and growth. They must work with data structures and architecture for the contact center systems and databases, linking data sources across network HIS (Health Information System) systems and producing BI (Business Intelligence) dashboards. In addition to performing regular data hygiene and security check on all produced dashboards and contact center infrastructure. This position requires strong analytical abilities, exceptional problem-solving skills, and a deep understanding of business of business processes and Key Performance Indicators (KPIs).Responsible for developing new business strategies and models, communicating to management on how these strategies and models will enhance business efficiency, and creating required reports for evaluation of business performance.

Responsibilities

Data Analysis and Reporting

• Manages complex datasets by identifying, aggregating, cleaning and validating data from multiple sources in preparation for reporting use.
• Implements various visualization techniques to assist users in identifying critical data quickly and accurately.
• Participates in the development of data models.
• Collects, interprets and analyzes large volumes of data, patterns, trends, and correlations can be identified, leading to actionable insights.
• Carries out advanced reporting and dashboards tracking KPIs and metrics provide real-time visibility into business performance, enabling informed decision-making and proactive responses to business challenges.
• Uses analytical techniques to design, develop and maintain reports, scorecards and dashboards, summarizing clinical, quality and operations data, for review by executives and operations team.
• Provides in-depth analysis and develops routine reporting of business metrics,financials and clinical operations.
• Creates or reviews technical design documentation to ensure the accurate development of reporting solutions.
• Submits data per internal requirements to M42 and the asset.
• Advance expertise using SQL to develop complex queries from electronic medical record.
• Knowledge of Cerner Command Language (CCL) in facilities utilizing Cerner as electronic medical record.
  
  

Business Intelligence Development

• Design, build, and mange Healthcare Data Analytics solutions, which drive superior quality improvement analytics.
• Advance expertise developing data models, cubes, and visualizations using BI tools empowers stakeholders to explore data and gain insights independently.
• Robust and scalable BI solutions ensure the availability of accurate and secure data for analysis, enabling the organization to make informed decisions and drive strategic initiatives.
  
  

Data Visualization and Communication

• Produces compelling visualizations, reports, and presentations facilitate the understanding of complex data findings by stakeholders at all levels.
• Effective communication of insights and recommendations to business leaders promotes data-driven decision-making, fosters collaboration, and improves overall organizational performance.
  
  

Qualifications

Education:

Essential:

• Bachelor's degree in data or IT fields.
  
  

Preferred:

• Master's degree in data or IT.
  
  

Experience:

Essential:

• Proven experience (4+ years) as a Senior Analyst or similar role, with a focus on data analysis, reporting, and visualization.
• 2+ years’ experience in healthcare industry.
  
  

Preferred:

• Experience working on contact center data analytics.
  
  

Certification & Licensure:

Preferred:

• Microsoft Power BI Certified.
  
  

Job-Specific Skills & Abilities:

• Expertise in DAX (Data Analysis Expressions) and M language and the ability to manipulate data and perform calculations in Microsoft Power BI.
• SQL and data querying languages, along with proficiency in working with relational databases and data warehouses.
• Proficiency in utilizing BI tools and technologies such as Tableau, Power BI, QlikView, or similar platforms for data visualization and reporting.
• Experience with data modeling, ETL processes, and data integration.
• Excellent analytical skills with the ability to translate complex data into meaningful insights and actionable recommendations.