Healthcare Data Analyst or Senior Data Analyst, Analytics Hub

ECG Management Consultants•Boston, MA

5d•Hybrid

About The Position

ECG, a leading healthcare consulting firm with over 50 years of experience, is seeking individuals to join its growing Analytics Hub. This role involves working with consulting teams to deliver insights, analysis, and intelligence to healthcare clients. The Analytics Hub utilizes a Microsoft Azure and Microsoft 365 environment, with Power BI as the primary analytics visualization platform. The goal is to leverage existing infrastructure and implement new features and technologies. The ideal candidate is adaptable, skilled at multitasking, and proficient in implementing new solutions. ECG focuses on creating practical, tailored solutions that help clients maximize resources and achieve sustainable results, bridging strategic thinking with operational implementation.

Requirements

Strong knowledge of and passion for the healthcare industry, AI, machine learning, and analytics
A bachelor’s degree in either computer science, computer engineering, data analytics, mathematics, or statistics
Prior work experience in healthcare data analytics using SQL and Power BI required (five+ years of experience for senior analyst level; one to three years for analyst)
Proficiency in Microsoft Word, Excel, and PowerPoint
Comfort with manipulating and synthesizing large data sets
Strong written and verbal communication skills
Excellent organizational skills
Having the permanent legal right to work in the United States is a condition of employment. ECG is not currently able to provide assistance to candidates requiring sponsorship or a visa.

Nice To Haves

Prior work experience in healthcare consulting preferred
Experience using Python, R, Fabric, and Tableau a plus

Responsibilities

Perform complex analyses on big data, including cleaning, preparing, and interpreting.
Gather and synthesize data from various sources (e.g., national surveys, proprietary research, client interviews, industries, markets).
Preparing analyses related to hospital inpatient databases and provider claims data.
Build flexible, dynamic, and scalable financial and operational models to forecast trends, preparing scenarios for consulting efforts related to delivery and business development (e.g., strategic planning, operational improvement market assessments).
Apply AI and machine learning techniques to enhance data analysis, automate insights, accelerate output development, and improve decision-making.
Enhance existing models and capabilities built using SQL, primarily, with some use of Python or R in certain models or scenarios.
Identify and execute analyses in response to consultant business intelligence inquiries.
Build relational databases using a Microsoft SQL Server or Fabric.
Communicate market insights to pursuit teams, and support business development efforts.
Configure, maintain, and build flexible reports, queries, and visuals within the Power BI environment and the production and development environments of related databases.
Research, test, and implement solutions in Power BI.
Partner with various consulting units (Strategy & Enterprise Growth, Payer Strategy & Contracting, Health System Performance, Medical Group Optimization) to gather requirements related to data analytics.
Develop, configure, and maintain interfaces to exchange data among Power BI, SQL databases, and other cloud-based applications.
Create and maintain analytical support documentation and operating procedures.
Develop new and innovative methodologies and approaches.
Contribute to internal education and learning opportunities for consultants and operations members for the Analytics Hub and analytics in general, and support education about ECG’s use cases related to analytics in work.
Assist the VP of Data Analytics and AI in developing analytics and data strategy to support data analytics capabilities at the firm.