Analytics Engineering Solutions Architect

UnityPoint Health is seeking an Analytics Engineering Solutions Architect to design and implement advanced analytics solutions that support data-driven decision-making across the organization. The role will architect scalable analytics frameworks, develop data models and ETL processes, collaborate with stakeholders, evaluate analytical technologies, and present technical recommendations and insights.

Responsibilities:

• 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

• 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

• 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

• 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

Requirements:

• Bachelor's degree in Computer Science, Data Science, Statistics, or a related field required
• 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
• Master's degree in a relevant field preferred
• 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