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Commercial Excellence Data Analyst – Commercial Integration
BD. Provide commercial analysis behind integration decisions, including customer and account, channel, portfolio, segment and coverage analytics .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in commercial analytics, sales operations, and data analysis, with proficiency in tools such as Power BI and SQL. Capable of producing actionable insights and recommendations to drive sales performance and customer retention across EMEA.
Highest-signal resume keywords
Commercial AnalyticsPower BI Data ModellingSQL Query OptimizationData Analysis with PythonSalesforce Reporting
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 AnalysisStatistical MethodsMachine LearningData Pipeline DevelopmentForecast Accuracy MeasurementDashboard CreationPredictive ModelingExcel Advanced FunctionsGit Version ControlCRM Data Integrity Monitoring
Soft Skills
Clear CommunicationCollaborationOrganizational SkillsAdaptabilityStakeholder Engagement
Tools & Technologies
Power BIMS ExcelSQLPythonSalesforceCPQ SystemsData WarehousingCloud Data Platforms
Industry Keywords
HealthcareMedTechPharmaLife SciencesCommercial Reporting
Tech Stack
Tools & technologiesCloudPythonSQL
About the role
Key responsibilities & impact- Provide commercial analysis behind integration decisions, including customer and account, channel, portfolio, segment and coverage analytics
- Build and enhance sales reporting and analytics provided under Transition Service Agreements ahead of TSA exit
- Support evaluation and deployment of practices and tools such as instrument replacement targeting, funnel management and sales force standards
- Maintain commercial reporting tracking integration milestones, revenue continuity and customer retention
- Build and maintain dashboards covering sales performance by country, channel, product and customer segment
- Analyze growth, decline and mix changes and identify underlying drivers
- Turn findings into clear recommendations and prioritized actions for EMEA teams
- Maintain and analyze the instrument installed base
- Analyze consumable pull-through against installed instruments and identify performance gaps and growth opportunities
- Maintain and enhance pipeline and Win Room data; analyze funnel conversion, stage progression, deal velocity and win rates
- Support measurement of forecast accuracy at country and EMEA level
- Develop and test predictive models for opportunity scoring, conversion likelihood and demand patterns
- Monitor CRM data integrity and work with country teams on improvement plans
- Build and maintain repeatable data pipelines and models feeding the EMEA reporting estate
- Maintain queries, scripts, models and reporting logic in Git using branching, pull requests and peer review
- Replace manual analysis steps with repeatable processes
- Maintain documentation of data sources, logic and processes
Requirements
What you’ll need- Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Finance, Business Analytics or a related quantitative field; Master's a plus
- 2+ years of experience in commercial analytics, sales operations, data analytics or a comparable analytical role
- Strong graduates with relevant placement or internship experience will be considered
- Experience in Healthcare, MedTech, Pharma or Life Sciences is advantageous
- Working knowledge of Power BI data modelling and report building
- Advanced MS Excel, including large data sets, lookups, pivot tables and Power Query
- Ability to produce clear, executive-ready MS PowerPoint output
- Ability to write and optimize SQL queries against relational data sources
- Working knowledge of Python for data preparation, analysis and automation
- Practical experience with Git version control, including branching, pull requests, code review and repository hygiene
- Salesforce reporting, objects and data structures desirable
- CPQ systems desirable
- Statistical and machine learning methods applied to commercial data desirable
- Data warehouse and cloud data platforms desirable
- Power BI Service administration, deployment pipelines and row-level security desirable
- Clear, concise written and verbal communication
- Collaborative, comfortable working with stakeholders across countries and functions
- Organized, able to manage multiple tasks and operate in a matrixed EMEA environment
- Comfortable working through ambiguity and change
- Fluent English required; another European language preferred
- Willingness to travel occasionally within EMEA
Benefits
Comp & perks- Comprehensive Total Rewards program
- Reward and recognition opportunities
- Competitive compensation and benefits programs
- Opportunities to learn, grow and thrive
- Face-to-face collaboration supporting learning, progress and success