Address
Form of work
SalaryDescription:
Qualifications:
Required:
Expected Starting Salary Range: 42.17 - 53.64
SUBFUNCTION DEFINITION: This role focuses on the design, integration, and management of complex data and analytic systems throughout their life cycles. It leverages a blend of core software engineering principles and specialized knowledge in data and analytics to ensure seamless access to actionable, meaningful, and well-governed data across various domains.
REPRESENTATIVE RESPONSIBILITIES
Data Pipelines:
- Design, develop, and manage data pipelines of varying complexity, ensuring smooth flow from acquisition sources to integration and consumption for key stakeholders like business analysts, data scientists, etc.
- Ensure compliance with data governance and security standards while operationalizing data pipelines, collaborating effectively with platform engineers and database administrators.
- Implement best practices for agile development, facilitating seamless updates from development to production environments.
- Support upgrades and testing initiatives as needed, exploring additional data extraction and analysis options from source systems to meet diverse customer needs.
- Develop solutions to enhance data analytic capabilities without disrupting transactional systems.
Metadata Management & Data Modeling:
- Create and implement data models to support organizational strategies, working closely with stakeholders to ensure scalability and efficiency.
- Document data models and extraction processes for reference by team members and customers, leveraging modern tools and techniques to automate repetitive tasks and improve productivity.
- Continually refine solutions to deploy best practices across reports, database structures, and extraction methods, collaborating with vendors as necessary.
- Address complex reporting requests and contribute to deeper understanding of source system data models.
Technical & Business Skill:
- Demonstrate proficiency in Data Management practices and architectures such as Data Modelling, Data Warehousing, Data Lake, etc., with foundational knowledge of others.
- Exhibit expertise in SQL, Python/Pyspark, and experience with Azure/Cloud Platform, along with object-oriented scripting and DevOps principles.
- Understand core clinical, business, and research processes to develop tailored data solutions, obtaining relevant certifications as needed and pursuing continuous education.
Project Execution & Management:
- Execute project tasks efficiently with a focus on quality, communicating status effectively using project management tools.
- Participate actively in project meetings and serve as technical lead for moderately complex projects, ensuring effective management of scope, risk, and budget.
- Provide technical support and customer service, ensuring adherence to Service Level Agreements and promoting change management policies.
- Collaborate closely with stakeholders, particularly data science teams and business analysts, to refine data requirements and support data consumption needs.
EDUCATION/EXPERIENCE
Required:
- Bachelor's degree in a computer science, statistics, applied mathematics, data management, information systems, information science or a related quantitative field.
- 2 years of work experience in a related job discipline.
- Experience working in cross-functional teams and collaborating with business stakeholders in support of a departmental and/or multi-departmental data management and analytics initiative.
Cincinnati Children's is proud to be an Equal Opportunity Employer that values and treasures Diversity, Equity, and Inclusion. We are committed to creating an environment of dignity and respect for all our employees, patients, and families (EEO/AA).
