Data Analyst - pre system

Job Title

Position Summary...

Applied Business Acumen:

• Provides recommendations to business stakeholders to solve complex business issues.
• Develops business cases for projects with a projected return on investment or cost savings.
• Translates business requirements into projects, activities, and tasks and aligns to overall business strategy.
• Serves as an interpreter and conduit to connect business needs with tangible solutions and results.

Problem Formulation:

• Translates business problems within one's discipline to data related or mathematical solutions.
• Identifies what methods (for example, analytics, big data analytics, and automation) would provide a solution for the problem.
• Shares use cases and gives examples to demonstrate how the method would solve the business problem.

Exploratory Data Analysis:

• Collects and tabulates data and evaluates results to determine accuracy, validity, and applicability. Supports the identification and application of statistical techniques based on requirements.
• Applies suitable technique under direction from leadership.
• Assists in the planning, design and implementation of exploratory data analysis research projects.

Data Source Identification:

• Supports the understanding of the priority order of requirements and service level agreements.
• Helps identify the most suitable source for data that is fit for purpose.
• Performs initial data quality checks on extracted data.

Data Visualization:

• Generates appropriate graphical representations of data and model outcomes.
• Work alongside business customers to capture requirements and design appropriate data representation for multiple data sets.

Data Strategy:

• Understands, articulates, and applies principles of the defined strategy to routine business problems that involve a single function.

Process Management:

• Monitors operational performance utilizing analytics tools & techniques in support of continuous improvement.
• Partners with cross-functional stakeholders to identify losses and implement countermeasures.

Data Quality Management:

• Sets up data quality processes to ensure analytical and optimization processes generate the right output.
• Be able to assess whether issues in optimization are due to faulty data

You can show one or more of the below

• You have proven working experience of optimization
• You have a passion for learning how to work with new languages and data and analytical setups
• You have good knowledge of scripting languages like SQL and Python
• You have proven working experience of using Big Query, including table design
• You have good knowledge of data visualization software like Tableau and Power BI
• You have technical proficiency regarding data management and automation
• A passion to find patterns in data and identify business opportunity areas
• You show attention to detail and can catch patterns in data earlier than other folks
• You have built exception reporting (using outlier detection or other analytical techniques) and connected processes
• You can present insights from data in the form of a good story
• You love working with other stakeholders to drive process improvements based on data analysis and optimization

Nice to Haves/Preferred Qualifications:

• Minimum three years’ experience designing and deploying optimization solutions within the Blue Yonder
• TMS Minimum three years’ experience delivering advanced analytics and solution recommendations leveraging BY Transportation Modeler
• Demonstrated ability to assess complex network design issues, develop, & recommend solutions to leadership across a multifunctional leadership team
• Demonstrated ability to utilize (SQL) to manipulate large data sets and present information in a format that drives adoption of new solutions within the organization
• Demonstrated ability to work independently and with teams to deliver results in a fast and results driven environment

Minimum Qualifications:

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1:
Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 2 years' experience in data analysis, data science, statistics, or related field. Option 2:
Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 years' experience in data analysis, data science, statistics, or related field.

Preferred Qualifications:

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.