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Consultant, Enterprise Analytics Delivery
Trinity Life Sciences. Work closely with cross-functional team members, including consultants, project managers, and subject matter experts, to deliver analytical solutions .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in analyzing healthcare administrative claims data and life sciences real-world evidence data, utilizing programming skills in SQL, Python, and R to derive actionable insights. Proficient in developing analytical methods and presenting findings to clients while managing multiple projects in a fast-paced environment.
Highest-signal resume keywords
Healthcare Administrative Claims Data AnalysisLife Sciences Real-World Evidence DataSQL ProgrammingPython ProgrammingData Presentation Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLPythonRStatistical AnalysisAnalytical Methods DevelopmentData InterpretationQuantitative SkillsBusiness Rules DevelopmentProject ManagementProposal Development
Soft Skills
Problem-SolvingCommunication SkillsInterpersonal SkillsSelf-MotivationTime Management
Tools & Technologies
MS Office SuiteExcelPowerPointTableauPowerBIAI ToolsGit
Industry Keywords
Public HealthBiostatisticsStatisticsEngineeringSTEM FieldsClient InsightsCross-Functional CollaborationFast-Paced EnvironmentBoston AreaPhiladelphia Area
Tech Stack
Tools & technologiesPythonSQLTableau
About the role
Key responsibilities & impact- Work closely with cross-functional team members, including consultants, project managers, and subject matter experts, to deliver analytical solutions
- Design, develop, and execute analyses on life sciences secondary data sources, including real-world evidence data and administrative claims
- Understand client business needs and develop methodological solutions with senior team members
- Evaluate available industry secondary data sources and their advantages and disadvantages
- Drive insights and key takeaways from data analyses
- Develop concise presentations outlining business rules, study results, and actionable client insights
- Translate analysis findings into actionable “so-whats” for clients
- Analyze and interpret secondary data using SQL, Python, R, or other programming languages
- Aid in proposal development as needed
- Serve as point of contact for assigned client deliverables and communicate internally and externally
- Effectively leverage AI tools while maintaining quality control
- Develop and interpret business rules with cross-functional subject matter experts
- Support analytics product testing under senior manager guidance
- Manage multiple projects and project types concurrently
- Contribute to client-facing activities, including presenting findings and communicating results to clients
Requirements
What you’ll need- BS, MS or PhD in Public Health, Computer Science, Mathematics, Statistics, Biostatistics or Engineering
- Graduate training (Masters/Doctoral degree) in STEM fields or Masters in Public Health strongly preferred
- 2-3 years of work experience analyzing healthcare administrative claims data
- Experience with life sciences real-world evidence data is a must
- Experience developing analytical methods for life sciences business questions such as line of therapy, compliance/persistence, and patient journey
- 2-3 years of programming skills for querying data using SQL; Python and R experience
- Demonstrated quantitative and analytical skills, including interpretation of statistics
- Extensive experience with MS Office Suite, including Excel and PowerPoint
- Familiarity with Business Intelligence tools such as Tableau and PowerBI, and git
- Self-motivated, strong problem-solving skills, innovative with a positive attitude and eager to learn
- Ability to manage time and work on multiple projects concurrently in a fast-paced environment
- Excellent communication in English, written and verbal, and interpersonal relations skills
- Ability to work in the Boston, Massachusetts, Philadelphia, or Pennsylvania/New Jersey/NYC area
Benefits
Comp & perks- Annual discretionary performance bonus
- Equal opportunities employer
- Inclusion and Engagement culture
- Employee environment where all employees feel valued, respected, and empowered to contribute fully