Senior Analyst, Key Account Management Insights
New
J
JobgetherMedTech
United StatesFull-TimeSenior
SalaryBase salary range of $79,000–$127,650
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Job Details
- Experience
- At least 4 years of professional or industry experience, including a minimum of 3 years in Finance, analytics, data analysis, or a related field.
- Required Skills
- Project ManagementPythonMicrosoft Power BITableauMicrosoft ExcelRData analytics
Requirements
- Bachelor’s degree in Business, Marketing, Statistics, Mathematics, or a related discipline.
- At least 4 years of professional or industry experience, including a minimum of 3 years in Finance, analytics, data analysis, or a related field.
- Advanced proficiency in Microsoft Excel.
- Experience with data visualization tools such as Tableau, Qlik, or Power BI.
- Experience with data analysis techniques and tools such as SPSS, SAS, Python, or R.
- Strong understanding of data analytics and the field sales and contracting landscape.
- Experience supporting or leading cross-functional teams in complex, matrixed organizations.
- Strong project management, creative thinking, problem-solving, and influencing skills.
- Ability to explain analytical findings clearly to stakeholders and leaders at different organizational levels.
- Approximately 15% domestic travel is expected.
Responsibilities
- Deliver customer and account-level insights supporting Key Account Management, deal performance, commercial strategy, and broader business objectives.
- Execute and enhance connected account-planning capabilities across Field Sales, Key Account Management, Marketing, Finance, and other commercial functions.
- Develop, maintain, and improve KPIs and analytics measuring KAM effectiveness, productivity, deal performance, and commercial execution.
- Produce accurate, timely, intuitive reporting and executive-level analytics that enable informed decision-making and improve operational efficiency.
- Analyze account, customer, financial, contracting, product, competitive, and market data to identify trends, opportunities, gaps, and performance improvements.
- Partner with Data Science, Solutions, IT, Insights, and Offer Development teams to automate manual processes, eliminate redundancies, and scale analytics capabilities.
- Support strategic business and financial planning, ongoing performance measurement, targeting, and optimization at the system and customer level.
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