Company:
CommonSpirit Health
Location: Englewood
Hours: Full Time
Type: Permanent
Job Requirements / Description
Overview:
CommonSpirit Health was formed by the alignment of Catholic Health Initiatives (CHI) and Dignity Health. With more than 700 care sites across the U.S. from clinics and hospitals to home-based care and virtual care services CommonSpirit is accessible to nearly one out of every four U.S. residents. Our world needs compassion like never before. Our communities need caring and our families need protection. With our combined resources CommonSpirit is committed to building healthy communities advocating for those who are poor and vulnerable and innovating how and where healing can happen both inside our hospitals and out in the community.
The Associate Product Engineer in Data Analytics is responsible for assisting with the design, development, and launch of new and existing data analytics products. This includes working closely with the Product Manager, Lead / Senior Engineer, and other members of the product team to gather requirements, design solutions, and test and validate products. The Associate Product Engineer in Data Analytics will also be responsible for providing technical support to customers and internal stakeholders.
Responsibilities:
*this is a remote opportunity
Assist with the development of product requirements and specifications for data analytics products
Design and develop data analytics solutions
Conduct testing and validation of data analytics products
Provide technical support to customers and internal stakeholders on data analytics products
Collaborate with the product team to ensure that data analytics products are launched on time and within budget
Stay up-to-date on the latest technologies and trends in data analytics
Qualifications:
Bachelor's degree in computer science, data science, or a related field
1-2 years of experience in data analytics or a related field
Strong analytical and problem-solving skills
Excellent communication and interpersonal skills
Ability to work independently and as part of a team
Proficiency in programming languages such as Python, and SQL
Experience with cloud computing platforms such as AWS, Azure, or GCP
Desired Skills and Experience:
Experience with product lifecycle management (PLM) software
Experience with machine learning and artificial intelligence
Experience with data visualization tools such as Tableau or Qlik or Looker
Experience with data storytelling
CommonSpirit Health was formed by the alignment of Catholic Health Initiatives (CHI) and Dignity Health. With more than 700 care sites across the U.S. from clinics and hospitals to home-based care and virtual care services CommonSpirit is accessible to nearly one out of every four U.S. residents. Our world needs compassion like never before. Our communities need caring and our families need protection. With our combined resources CommonSpirit is committed to building healthy communities advocating for those who are poor and vulnerable and innovating how and where healing can happen both inside our hospitals and out in the community.
The Associate Product Engineer in Data Analytics is responsible for assisting with the design, development, and launch of new and existing data analytics products. This includes working closely with the Product Manager, Lead / Senior Engineer, and other members of the product team to gather requirements, design solutions, and test and validate products. The Associate Product Engineer in Data Analytics will also be responsible for providing technical support to customers and internal stakeholders.
Responsibilities:
*this is a remote opportunity
Assist with the development of product requirements and specifications for data analytics products
Design and develop data analytics solutions
Conduct testing and validation of data analytics products
Provide technical support to customers and internal stakeholders on data analytics products
Collaborate with the product team to ensure that data analytics products are launched on time and within budget
Stay up-to-date on the latest technologies and trends in data analytics
Qualifications:
Bachelor's degree in computer science, data science, or a related field
1-2 years of experience in data analytics or a related field
Strong analytical and problem-solving skills
Excellent communication and interpersonal skills
Ability to work independently and as part of a team
Proficiency in programming languages such as Python, and SQL
Experience with cloud computing platforms such as AWS, Azure, or GCP
Desired Skills and Experience:
Experience with product lifecycle management (PLM) software
Experience with machine learning and artificial intelligence
Experience with data visualization tools such as Tableau or Qlik or Looker
Experience with data storytelling
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