Associate IT Analyst

Role Definition
Manages the development, implementation and support of business analytics initiatives and projects.

Responsibilities

• Identifying, sizing and prioritizing business opportunities for improvement through analytics and Development of Power BI Visuals
• Managing internal client relations to ensure that project expectations are managed, and fulfilled.
• Monitoring and communicating key performance metrics and operational challenges.

Skill Descriptors
Business Statistics: Knowledge of the statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions.
Level Extensive Experience:

• Generates and interprets a wide range of statistical data and reports.
• Utilizes in-depth knowledge of several statistical tools or applications.
• Instructs others in statistical concepts and techniques and their application to business.

Products and Services: Knowledge of Manufacturing environment and Systems like Oracle, SAP

Level Extensive Experience:

• Develops procedures for product planning, development, and delivery cycles.
• Promotes understanding of multiple product and service groups and their interdependencies.
• Microsoft Power Platform Experience

Analytical Thinking: Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems.
Level Extensive Experience:

• Seeks discrepancies and inconsistencies in available information; explains variances.
• Organizes and prioritizes the sequence of steps to be taken to remedy the situation.
• Identifies many possible causes for a problem based on prior experience and current research.
• Quantifies the costs, benefits, risks and chances for success before recommending a course of action.
• Approaches a complex problem by breaking it down into its component parts.
• Chooses among a diverse set of analytical tools according to the nature of the situation.

Innovation: Knowledge of the value of innovation; ability to create and develop new ideas for answers to work-related problems that improve the performance of the organization.
Level Extensive Experience:

• Finds new or non-traditional ideas to improve effectiveness in team's area of responsibility.
• Guides team members in the development and fulfilment of proposed innovations.
• Fosters a team culture that encourages exploration of non-traditional ideas.
• Encourages and embraces exploration of non-traditional ideas from team members.
• Implements strategies for renewing or deepening change efforts.
• Develops change initiatives that target improvement of significant organizational capabilities.

Emerging Technologies: Knowledge of emerging technologies; ability to design, apply and evaluate new information technologies for business environments.
Level Extensive Experience:

• Evaluates best practices of emerging information technologies to learn and understand principles and applications.
• Evaluates business accuracy and productivity levels derived from information technology influences.
• Determines long-term, strategic requirements for the design of information technologies.
• Monitors information technology users to ensure compliance with organizational policies.
• Resolves all technical and administrative problems that occur in the design, application and evaluation of information technology.

Machine Learning: Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services.
Level Working Knowledge:

• Completes specific tasks and initiatives utilizing machine learning technologies, such as search engine optimization.
• Utilizes specific tools and techniques to process descriptive and inferential statistics.
• Applies specific computing languages and tools in machine learning, such as SQL, and Python.
• Explores to use machine learning in one own areas to make business improvements.
• Conducts data mining and cleaning initiatives.