Solution Analysts are responsible for producing client deliverables and working with teams to develop analytics and derive actionable insights within their respective solution(s). Solution Analysts also collaborate with cross-functional teams to support new analytic solution development and automation of models / tools that provide distinctive analytic capabilities for Guidehouse clients. This is a highly challenging position that draws heavily upon all of the analytical, creative, and interpersonal skills essential to effective balance between the production of analytic end products and the presentation and communication of insights. This opportunity will provide broad client exposure, project leadership and analytic development across multiple content areas. The ability to assume complete ownership of significant projects while at the same time being an active part of a close-knit team is essential.

Engagement Support: Support delivery of analytic solutions by producing and communicating analytic deliverables for both internal and external clients. Common responsibilities include:

• Support delivery of project-based analytics engagements for Healthcare consulting engagements across multiple clients and teams concurrently

• Leverage analytic models and tools to provide high quality outputs and insights for Healthcare clients in multiple content domains

• Collaborate with Healthcare Analytics colleagues and Guidehouse consulting teams to problem solve and provide content expertise to tailor solutions for individual clients

• Produce analytics for use in sales pursuits that link to solutions and services

Solution Development: Collaborate with Healthcare practice and Analytic Development team to innovate and develop analytic solutions. Common responsibilities include:

• Develop and maintain library of materials and tools to support solution delivery (i.e., solution descriptions, budget models, sales materials, training materials, models and methodologies)  

• Develop relationships with consulting teams and content experts to drive continued innovation

• Incorporate client feedback and experience into solutions to foster continual improvement

What You Will Need:

• Bachelor's degree is required

• Minimum THREE (3) years of experience within specific Healthcare content domain with focus on analytics, business intelligence, consulting, product management, project management and/or healthcare services leveraging data and analytics. a relevant Master's degree may be used in lieu of TWO (2) years' experience

• Highly motivated, driven, and dynamic attitude towards work and career.

• Champion of data analytics and its potential to guide critical business decisions and impact Healthcare

• Demonstrated track record of delivering high quality end-products/services in content area

• Highly proficient technical skills in databases, relational data sets with expertise in SQL

• Proven abilities in data modeling, design, and analytic techniques leveraging large or complex data sets, e.g., ETL process design and administration, within common database and business intelligence / reporting platforms, e.g., SQL, SSIS, R, Azure data factory, Databricks, Power BI, Tableau, TIBCO Spotfire or others

• Proficient in developing code logic to analyze large healthcare data assets

• Experience in any of the following healthcare content domains is highly preferred:

  • Clinical Effectiveness (LOS, cost per case, clinical variability)

  • Population health – healthcare cost, utilization and quality

  • Value-based care strategies

• Strong understanding of healthcare claims (facility or payer) data and/or HIT applications including those used to manage patient, financial, clinical, claims and/or operational data, is a strong advantage

• A strong problem solver and fast learner with demonstrated analytic and quantitative skills

• Detail-oriented in approach to work self-starter able to work independently

• Excellent verbal and written communication skills

• Travel as necessary (minimal)

What Would Be Nice To Have:

• Snowflake and Apache Spark

• Programming Languages – R, Python

• Understanding of overall medical claims and/or EHR datasets