[Hiring] Analytics Engineering Solutions Architect @UnityPoint Health

Role Description

Responsible for designing and implementing advanced analytics solutions that drive data-driven decision-making across the organization. This position collaborates with cross-functional teams, including data engineers, data scientists, analytics engineers, and business stakeholders, to understand requirements and translate them into robust analytical frameworks including self-service solutions in Epic, Health Catalyst, and Azure Services.

Remote/work from home with strong preference for candidates residing within the UPH geographies of Iowa, Illinois, & Wisconsin.

Responsibilities

• Design & Implementation of Analytics Solutions (40%)
  • Architect Scalable Analytics Solutions:
    • Responsible for designing and developing robust analytics frameworks that can handle large volumes of data and integrate seamlessly with existing systems and data sources.
    • Selecting the right architecture to ensure scalability and performance.
  • Develop Data Models and ETL Processes:
    • Create and maintain data models that represent business metrics and dimensions effectively.
    • Design and oversee ETL (Extract, Transform, Load) processes that ensure data is accurately extracted from various sources, transformed as necessary, and loaded into analytical databases for easy access.
• Stakeholder Collaboration & Requirements Gathering (30%)
  • Work with Business Stakeholders:
    • Collaborate closely with various business units to understand their analytics needs.
    • Engage with stakeholders to gather detailed requirements, ensuring that the solutions designed align with business objectives.
  • Translate Requirements into Technical Specifications:
    • Take the gathered requirements and translate them into clear, actionable technical specifications for the development team, ensuring a mutual understanding between business needs and technical capabilities.
• Tool Evaluation & Technology Recommendations (20%)
  • Assess Analytical Tools and Technologies:
    • Evaluate different analytical tools and technologies, considering factors like performance, cost, and ease of use.
    • Stay informed about the latest advancements in the field and understanding which tools best fit the organization’s needs.
  • Recommend Solutions:
    • Based on evaluations, provide recommendations for the most suitable analytical tools and technologies that can enhance the organization's analytics capabilities.
• Industry Trends & Presentations (10%)
  • Stay Current with Trends:
    • Responsible for keeping up with emerging technologies and trends in the analytics and data science fields.
    • This includes researching new tools, methodologies, and best practices to ensure that the organization remains competitive and innovative.
  • Present Findings to Stakeholders:
    • Regularly present findings, insights, and recommendations to various stakeholders, translating complex technical concepts into clear and actionable insights that can drive informed decision-making across the organization.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field required.
• Master’s degree in a relevant field preferred.
• Five (5) years of experience with SQL required.
• Three (3) years of experience with Data Warehousing Python, R required.
• Two (2) years of experience with data integration platforms and Cloud platforms (AWS, Azure, Google Cloud) required.
• One (1) year experience with Cloud Storage (AWS S3, Azure Blob), Version Control (Git) and Agile Methodologies required.
• Two (2) years of experience with Analytical tools and libraries (Pandas, NumPy, Scikit-Learn) and Statistical Analysis (SAS, SPSS) preferred.
• One (1) year experience with API’s and Integration: RESTful APIs and API Tools (Postman, Apigee) preferred.

Benefits

• Expect paid time off, parental leave, 401K matching, and an employee recognition program.
• Dental and health insurance, paid holidays, short and long-term disability, and more.
• Early access to earned wages with Daily Pay, tuition reimbursement to help further your career, and adoption assistance to help you grow your family.
• Commitment to champion a culture of belonging where everyone feels valued and respected.
• Support and development opportunities as a vital part of delivering an exceptional employment experience.