Healthcare
Reporting and AI Analytics Sr. Analyst
Remote - Minnesota · Senior
No sponsorship$126k-$173kDetected 6 days ago
PythonAzureMachine LearningData EngineeringData ScienceData VisualizationNLPAccessibilityProcess ImprovementCommunicationProblem Solving
About the role
- Thank you for your interest in joining Solventum.
- Job Description: Reporting and AI Analytics Sr.
Responsibilities
- Please note, Solventum does not expect candidates in this position to perform work in the unincorporated areas of Los Angeles County.
- While we continue updating the Solventum Careers Page and applicant materials, some documents may still reflect legacy branding.
- Develop scalable frameworks for automation that can be reused across functions.
- Partner with IT and engineering teams to execute automation solutions in production environments.
- Design automated dashboards and reporting solutions that transform raw data into actionable insights.
- Eliminate manual reporting processes by building self-service and real-time reporting capabilities.
- Translate business needs into technical automation requirements and solution designs.
- Lead cross-functional workshops to identify automation use cases and drive alignment.
Requirements
- Proven experience with automation tools (e.g., Power Automate, UiPath, Automation Anywhere) and/or AI technologies.
- Experience with AI/ML concepts and tools (e.g., Python, Azure AI, OpenAI, data science platforms).
- In addition to the above requirements, the following are also required:
- Must be legally authorized to work in country of employment without sponsorship for employment visa status (e.g., H1B status).
- Bachelor's Degree or higher from an accredited university in Finance, Business Analytics, Information Systems, Engineering, or related field and (8) eight years of experience in process improvement, automation, analytics, in
- a private, public, government or military environment
Nice to have
- Strong analytical and problem-solving skills with ability to translate data into actionable insights.
- Experience with data visualization and reporting tools (e.g., Power BI, Tableau).
- Strong communication skills with ability to articulate complex technical concepts to non-technical audiences.
- Knowledge of data engineering or data architecture concepts.
- Experience in Agile or product-oriented delivery environments.
- Background in finance, operations, or enterprise transformation initiatives.
- The expected compensation range for this position is $125,600 - $172,700, which includes base pay plus variable incentive pay, if eligible.
Compensation
- Applicable to US Applicants Only:The expected compensation range for this position is $125,600 - $172,700, which includes base pay plus variable incentive pay, if eligible.
Benefits
- Design and implement end-to-end automation solutions leveraging AI, machine learning, RPA, and workflow tools.
- To ensure competitive pay and benefits, Solventum regularly benchmarks with other companies that are comparable in size and scope.
- your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly.
- Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly.
Company info
- Additional information is available at: https://www.solventum.com/en-us/home/our-company/careers/#Total-Rewards
- Please note that all email communications from Solventum regarding job opportunities with the company will be from an email with a domain of @solventum.com.
- At Solventum, people are at the heart of every innovation we pursue.
Equal opportunity
- Solventum is an equal opportunity employer.
Visa & Work Authorization
- Must be legally authorized to work in country of employment without sponsorship for employment visa status (e.g., H1B status).
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This listing is sourced directly from Healthcare's careers page and normalized into a canonical job model.