Business Intelligence 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
Power BI development 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.