Solventum

Data Intelligence Analyst

Posted 3 Hours Ago

Be an Early Applicant

Hiring Remotely in Minnesota, USA

Remote

108K-148K Annually

Senior level

Healthtech • Pharmaceutical • Manufacturing

The Role

Design, develop, and deploy scalable Power BI dashboards and semantic models; build and optimize ETL/data pipelines with SQL and Python; architect cloud data solutions (Snowflake/Azure/Databricks); integrate APIs and AI/ML insights (predictive, NLQ, generative AI); lead data governance, quality assessments, and enable self-service analytics.

Summary Generated by Built In

Thank you for your interest in joining Solventum. Solventum is a new healthcare company with a long legacy of solving big challenges that improve lives and help healthcare professionals perform at their best. At Solventum, people are at the heart of every innovation we pursue. Guided by empathy, insight, and clinical intelligence, we collaborate with the best minds in healthcare to address our customers’ toughest challenges. While we continue updating the Solventum Careers Page and applicant materials, some documents may still reflect legacy branding. Please note that all listed roles are Solventum positions, and our Privacy Policy: https://www.solventum.com/en-us/home/legal/website-privacy-statement/applicant-privacy/ applies to any personal information you submit. As it was with 3M, at Solventum all qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job Description:

Data Intelligence Analyst(Solvetum)

3M Health Care is now Solventum

At Solventum, we enable better, smarter, safer healthcare to improve lives. As a new company with a long legacy of creating breakthrough solutions for our customers’ toughest challenges, we pioneer game-changing innovations at the intersection of health, material and data science that change patients' lives for the better while enabling healthcare professionals to perform at their best. Because people, and their wellbeing, are at the heart of every scientific advancement we pursue.

We partner closely with the brightest minds in healthcare to ensure that every solution we create melds the latest technology with compassion and empathy. Because at Solventum, we never stop solving for you.

The Impact You’ll Make in this Role

As a(n) Data intelligence Analyst you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative and diverse people around the world. Here, you will make an impact by

Design, develop, and deploy scalable dashboards and semantic models in Power BI (Fabric-enabled), incorporating advanced features such as Dataflows Gen2, Direct Lake, and AI visuals; provide actionable insights to leadership.
Develop and optimize data pipelines using SQL, Python (Pandas/PySpark), and modern scripting frameworks, enabling ingestion, transformation, and analysis of structured and unstructured data.
Architect and manage cloud data solutions leveraging Snowflake, Azure Synapse, Microsoft Fabric, or Databricks, ensuring high-performance data modeling and efficient ingestion for analytics and AI use cases.
Build and integrate AI/ML-driven insights, including:
- Predictive analytics and anomaly detection
- Natural Language Query (NLQ) and Copilot-enabled analytics
- Generative AI use cases using Azure OpenAI, AWS Bedrock, or similar platforms
Design and consume APIs and JSON-based data pipelines to integrate enterprise systems (e.g., Salesforce, SAP, external regulatory platforms) into analytics and AI workflows.
Conduct deep data quality and governance assessments, collaborating with Quality, Regulatory, IT, and Data Governance teams to resolve gaps and ensure alignment with enterprise data standards.
Partner with business, Master Data, and digital transformation teams to define data products, KPIs, and AI-driven insights that support Healthcare and Regulatory operations.
Support development of data governance frameworks, including metadata management, lineage tracking, and adherence to enterprise standards (e.g., Snowflake vs SAP BDC decision frameworks).
Enable self-service analytics and AI adoption by training users on Power BI, Copilot, and data tools; promote best practices in data literacy and responsible AI usage.
Contribute to cloud and AI transformation initiatives, including migration to modern data platforms, implementation of AI agents, and integration with platforms such as Azure AI Foundry or AWS Bedrock.

Your Skills and Expertise

To set you up for success in this role from day one, Solventum requires (at a minimum) the following qualifications:

Bachelor’s degree or higher (completed and verified prior to start) in Computer Science, Data Science, Engineering, Statistics, Information Systems, or a related field from an accredited institution AND

(7) seven years of experience in data analytics, business intelligence, data engineering, or data science roles with demonstrated impact delivering data-driven insights.

In addition to the above requirements, the following are also required:

Hands-on experience with data visualization tools such as Power BI (including DAX, data modeling, and dashboard design); familiarity with Power BI Fabric, Copilot, or embedded analytics is a plus.
Experience working with modern data platforms such as Snowflake, Databricks, Azure Synapse, or Microsoft Fabric, including data ingestion and transformation.
Proficiency in SQL and at least one programming language (Python preferred) for data manipulation, automation, and analysis (e.g., Pandas, PySpark).

Additional qualifications that could help you succeed even further in this role include:

Master’s degree in Computer Science, Data Science, Mathematics, Statistics, Finance, or a related quantitative field.
Exposure to API integrations and JSON-based data processing to connect enterprise systems (e.g., Salesforce, SAP).
Familiarity with AI/ML or Generative AI concepts, including experience or interest in tools such as Azure OpenAI, AWS Bedrock, or similar platforms.
Understanding of data governance, data quality, and metadata management principles within enterprise environments.
Demonstrated experience conducting large-scale, complex data analysis to support strategic business decision-making and operational improvements.
Strong experience in data mining, data transformation, and feature engineering using scripting languages such as Python (Pandas, PySpark) or R.
Experience working with streaming or near real-time data pipelines and scalable data processing frameworks is a plus.
Working knowledge of machine learning and AI workflows, including exposure to predictive models, anomaly detection, or NLP use cases.
Familiarity with Generative AI and LLM-based solutions (e.g., Azure OpenAI, AWS Bedrock, LangChain, or similar frameworks) is a strong plus.
Experience with API integrations, JSON data structures, and system interoperability across enterprise platforms (e.g., Salesforce, SAP).

Work location: Remote-United States

Travel: May include up to 10% [domestic/international travel]

Relocation Assistance: Will not be authorized

Must be legally authorized to work in country of employment without sponsorship for employment visa status (e.g., H1B status).

Supporting Your Well-being

Solventum offers many programs to help you live your best life – both physically and financially. To ensure competitive pay and benefits, Solventum regularly benchmarks with other companies that are comparable in size and scope.

Applicable to US Applicants Only:The expected compensation range for this position is $107,600 - $147,950, which includes base pay plus variable incentive pay, if eligible. This range represents a good faith estimate for this position. The specific compensation offered to a candidate may vary based on factors including, but not limited to, the candidate’s relevant knowledge, training, skills, work location, and/or experience. In addition, this position may be eligible for a range of benefits (e.g., Medical, Dental & Vision, Health Savings Accounts, Health Care & Dependent Care Flexible Spending Accounts, Disability Benefits, Life Insurance, Voluntary Benefits, Paid Absences and Retirement Benefits, etc.). Additional information is available at: https://www.solventum.com/en-us/home/our-company/careers/#Total-Rewards

Responsibilities of this position include that corporate policies, procedures and security standards are complied with while performing assigned duties.

Solventum is committed to maintaining the highest standards of integrity and professionalism in our recruitment process. Applicants must remain alert to fraudulent job postings and recruitment schemes that falsely claim to represent Solventum and seek to exploit job seekers.

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. Be wary of unsolicited emails or messages regarding Solventum job opportunities from emails with other email domains.

Please note, Solventum does not expect candidates in this position to perform work in the unincorporated areas of Los Angeles County.

Solventum is an equal opportunity employer. Solventum will not discriminate against any applicant for employment on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status.

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.

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Skills Required

Bachelor's degree in Computer Science, Data Science, Engineering, Statistics, Information Systems, or related field
Seven years of experience in data analytics, business intelligence, data engineering, or data science roles
Hands-on experience with Power BI (DAX, data modeling, dashboard design)
Experience with modern data platforms such as Snowflake, Databricks, Azure Synapse, or Microsoft Fabric
Proficiency in SQL
Proficiency in at least one programming language for data manipulation (Python preferred) and experience with Pandas or PySpark
Familiarity with Power BI Fabric, Copilot, or embedded analytics
Exposure to API integrations and JSON-based data processing (Salesforce, SAP integrations)
Familiarity with AI/ML or Generative AI concepts (Azure OpenAI, AWS Bedrock, LangChain, etc.)
Understanding of data governance, data quality, and metadata management principles
Master's degree in a quantitative field
Experience with streaming or near real-time data pipelines and scalable data processing frameworks

Solventum Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Solventum and has not been reviewed or approved by Solventum.

Fair & Transparent Compensation — Salary ranges on many U.S. postings are explicitly stated, providing clear visibility into target pay bands. Pay is characterized as competitive for numerous technical, engineering, sales, and specialist roles.
Healthcare Strength — Comprehensive medical, dental, and vision coverage with day‑one eligibility is emphasized alongside resources such as EAP, coaching, and care referrals. Benefits breakdowns indicate strong sentiment toward core health coverage and related time‑off elements.
Retirement Support — The U.S. 401(k) program pairs company matching with an additional automatic retirement contribution. Employee-facing benefit details highlight favorable impressions of the 401(k) plan.