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Business Analyst, Data Science, AI Specialist
Marsh McLennanCore Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analysis, machine learning, and business intelligence, with a strong ability to communicate insights effectively to diverse audiences. Proficient in SQL and Python, with hands-on experience in building data pipelines and LLM-powered tools.
Highest-signal resume keywords
SQLPythonData Pipeline AutomationMachine LearningPower BI
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Partner with stakeholders across the business to align analyses with business objectives
- Deliver analytics spanning reporting, automation, forecasting, machine learning, and LLM-based solutions
- Turn data into clear, compelling insights for non-technical and executive audiences
- Communicate insights clearly and concisely to senior leadership verbally and in writing
- Manage multiple projects under tight deadlines
- Prioritize and manage time effectively
- Learn key data sources and new systems quickly
- Collaborate with commercial leaders, finance, marketing, and technology teams
- Help identify growth opportunities, strengthen retention, unlock whitespace, and elevate client experience
Requirements
What you’ll need- Bachelor’s degree in Engineering, Mathematics, Analytics, or a related field, or a Master's degree in Statistics, Business Analytics, or any related discipline
- 3 to 6 years of experience across both business intelligence and data science / modelling
- Strong SQL and Python
- Hands-on experience building and automating data pipelines (e.g., Databricks)
- Practical machine learning and forecasting experience
- Familiarity with LLM frameworks and how to apply them
- Working knowledge of Power BI
- Strong data visualization, storytelling, and presentation skills
- Fluent English, written and verbal
- Genuine interest in the business and flexibility to work across different types of work
- Commercial sense for matching analytical depth to the value of the output
- Hands-on experience building LLM-powered tools
- Strong interest in predictive and prescriptive analytics
- Ability to pick up new tools and domains quickly
Benefits
Comp & perks- Hybrid work with flexibility to work remotely and collaborate in the office
- Collaboration, connections and professional development benefits from working together in the office
- Reasonable accommodation for employees and prospective employees as required
- Inclusive and flexible work environment
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisBusiness IntelligenceForecastingPredictive AnalyticsPrescriptive AnalyticsData VisualizationStorytellingPresentation SkillsLLM FrameworksData Modeling
Soft Skills
Effective CommunicationTime ManagementCollaborationFlexibilityCommercial Sense
Tools & Technologies
DatabricksPower BI
Industry Keywords
Business ObjectivesGrowth OpportunitiesClient ExperienceRetentionWhitespace