The IT Data Analyst II builds on foundational skills with enhanced responsibilities in solution and system process design, including creating diagrams and prototypes. They manage and execute testing, such as building test cases and potentially test automation. This role requires knowledge in at least one functional or technical area and involves driving solution configuration, governance, and release management. They should be adept at documenting and managing detailed business requirements and business process mapping. Essential Duties and Responsibilities:

• Knowledge/Management in at least a single functional/technical area.
• Knowledge of fundamental SQL principles.
• Manage and execute testing (e.g., build test cases, test automation, etc.).
• Ability to translate business requests into SQL queries.
• Translating business requirements into technical requirements.
• Agile and Waterfall methodology and practice.
• Drive solution, configuration, governance, and release management.
• Deliver results according to business needs or requirements in accordance with data standards and policies.
• Provide story points for use cases and features.
• Understanding and influencing change management (communication/training/adoption).
• Perform other assigned job-related duties that align with our organization’s vision, mission, and values and fall within your scope of practice.

Education: Bachelor’s Degree or relevant experience. Preferred Certification(s): Any relevant IT Certification. Experience: 1+ years of relevant or practical experience. Special Skills:

• Strong foundation in SQL and the ability to translate business requirements into data queries.
• Skills in data management according to organizational standards and policies.

• Experience writing use cases, documenting business requirements, and basic project management. Soft Skills:

• Problem-solving: Identifying complex issues in IT systems or processes based on data analysis and proposing innovative, data-driven solutions.
• Adaptability: Quickly learning new IT tools, technologies, and methodologies as the field evolves.
• Attention to Detail: Ensuring accuracy in data collection, analysis, and reporting of IT metrics and performance indicators.
• Time Management: Balancing multiple IT data projects and priorities effectively.
• Teamwork: Collaborating effectively with peers on IT data initiatives, sharing insights, and integrating feedback.

TysonMXT, The successful candidate(s) must be willing and able to perform the physical requirements of the job with or without a reasonable accommodation.