Support projects that use data, automation, connected systems, and digital tools to improve manufacturing and business processes.
Responsibilities
Assist with identifying, documenting, and analyzing manufacturing or business processes that may benefit from digitization, automation, or improved data visibility.
Support the development, testing, and implementation of digital solutions such as dashboards, workflow automations, data collection tools, and connected manufacturing applications.
Collect, clean, organize, and analyze data from production equipment, manufacturing systems, spreadsheets, databases, or other business sources.
Create reports and visualizations that help teams monitor performance, identify trends, and make data-informed decisions.
Assist with system integration, data validation, user acceptance testing, and documentation for new or enhanced digital tools.
Lead Business Intelligence Analyst owns the Bank's BI program, overseeing architecture, data governance, reporting, and analytics for executive and regulatory reporting.
Responsibilities
Owns BI architecture, data models, and reporting platforms
Writes and maintains BI standards
Approves BI content before production release
Supervises BI Analyst staff and manages performance
Designs, develops, implements, administers, and maintains data integration solutions, ETL/ELT pipelines, cloud infrastructure, data warehouse objects, and supporting applications across Palmer College of Chiropractic.
Responsibilities
Build and support reliable ETL/ELT pipelines and integrations
Administer and enhance Snowflake data structures
Prepare governed data for reporting, analysis, and institutional decision-making
Support data migrations and system implementations
Provides direction to professional and supervisory staff in the Revenue Cycle, participates in strategic planning, manages multiple functions, and leads enterprise revenue cycle initiatives.
Responsibilities
Provides direction to professional and supervisory staff in the Revenue Cycle
Participates in strategic planning for the Enterprise Revenue Cycle
Translates the Mayo Clinic and departmental vision into meaningful and effective responses and results
Delegates responsibility and authority to carry out work
Manages multiple functions and serves as a resource with oversight in day-to-day activities
Requirements
Bachelor's degree
Master’s degree
Nice to have: HFMA Certification
Nice to have: Master’s degree
Nice to have: experience leading or supporting Business Intelligence or analytics functions
Design and implement advanced data science models to support business needs, lead complex projects, ensure data quality, and mentor junior scientists.
Compensation
The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is: Scottsdale, Arizona | Salary: $203,507.00-288,500.00 per annum. 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m. Additional compensation for this role may include an annual performance bonus, equity, or other incentive compensation, as applicable.
Responsibilities
Lead complex data science projects
Develop advanced data models and algorithms
Collaborate with senior leadership to identify data-driven opportunities
Implement best practices for data management, analysis, and visualization
Ensure data governance and compliance
Requirements
Bachelor’s degree or foreign equivalent in Computer Science, Engineering or a closely related field
Design, build, test, deploy, maintain, and support reliable data pipelines, integrations, curated datasets, and reusable research data products from discovery through production.
Partner with Data Product Owners, Research stakeholders, application teams, and architects to translate roadmaps, requirements, and acceptance criteria into incremental engineering deliverables and production releases.
Develop fit-for-purpose data solutions across the R&D technology landscape using Databricks, KNIME and other appropriate database, integration, orchestration, and processing technologies.
Integrate structured, semi-structured, and unstructured data from research, laboratory, scientific application, and external-provider systems to support scientific workflows, analytics, AI, and reusable data products.
Transform scientific data into standardized and contextualized datasets while preserving provenance, experimental context, metadata, quality, and traceability.
Design, build, test, deploy, maintain, and support reliable data pipelines, integrations, curated datasets, and reusable clinical data products across the R&D technology landscape.
Responsibilities
Design, build, test, deploy, maintain, and support reliable data pipelines, integrations, curated datasets, and reusable clinical data products from discovery through production.
Partner with Data Product Owners, business stakeholders, application teams, and architects to translate roadmaps, requirements, and acceptance criteria into incremental engineering deliverables and production releases.
Develop fit-for-purpose data solutions across the R&D technology landscape, using Databricks and other appropriate database, integration, orchestration, and processing technologies.
Integrate structured and semi-structured data from clinical, laboratory, regulatory, quality, safety, and external-provider systems to support business processes, applications, analytics, AI, and reusable data products.
Translate approved data designs and business requirements into scalable technical data models and implementation patterns.
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