Monitors and expedites the flow of goods, resources, and information required by the supply chain to ensure that critical processes run effectively and achieve organizational goals and performance KPIs.
Coordinates with procurement, production, inventory control, distribution, transportation, and other functions to optimize the supply chain. Identifies bottlenecks or problem areas and escalates or proposes solutions. Works with suppliers to resolve issues. May assist in the negotiation of contracts or service arrangements.
Salary.com identifies five increasing levels of proficiency for each skill/competency. Some jobs require only a relatively low level of proficiency in each skill/competency, while other jobs will require a more advanced level of proficiency in the same skill/competency. These levels rate the degree of proficiency (skill level, expertise) we expect the incumbent to perform in the given skill/competency for the given job. Note that we intentionally do not associate timeframes or years of experience in performing the skill/competency because that can be misleading. Proficiency levels identify what the incumbent knows and can do rather than how long they have been doing it. Also, note that the proficiency levels are cumulative, e.g., a level 4 proficiency implies the ability to perform all the behaviors at the lower levels.
Check each Supply Chain Analyst II skill and competencie below to view definitions.
Skill definition-Applying techniques and processes in examining and evaluating raw data to derive conclusions to support business decision-making.
Level 1 Behaviors
(General Familiarity)
Explains how to interpret data analytics and metrics to drive better business decision-making.
Level 2 Behaviors
(Light Experience)
Documents data requirements for projects by working with business users.
Level 3 Behaviors
(Moderate Experience)
Provides and leverages data analytics solutions to mitigate business risk and handle setbacks.
Level 4 Behaviors
(Extensive Experience)
Oversees data analytics team members to ensure data collection and management meet requirements.
Level 5 Behaviors
(Mastery)
Establishes performance metrics focused on Data Analytics to track optimization opportunities.
Skill definition-Managing and integrating business processes with a single system through an ERP system software to eliminate redundancies and boost productivity.
Level 1 Behaviors
(General Familiarity)
Explains how to use the ERP system for multiple business processes of an organization.
Level 2 Behaviors
(Light Experience)
Maintains accuracy of customer requirements and data in ERP system.
Level 3 Behaviors
(Moderate Experience)
Manages daily ERP operations to ensure performance reliability of the ERP systems.
Level 4 Behaviors
(Extensive Experience)
Provides training to stakeholders to streamline and improve ERP operations.
Level 5 Behaviors
(Mastery)
Develops ERP implementation plans to manage business complexities and increase process efficiency.
Skill definition-Insight into our organization's business, goals, and values. Ability to design and implement initiatives that facilitate successful outcomes.
Level 1 Behaviors
(General Familiarity)
Explains our key business strategies and priorities.
Level 2 Behaviors
(Light Experience)
Reports and communicates market and competitor status regularly to the management team.
Level 3 Behaviors
(Moderate Experience)
Evaluates supply chain efficiency with an eye toward improving shortcomings.
Level 4 Behaviors
(Extensive Experience)
Leverages the latest technologies and tools that enhance business analytics.
Level 5 Behaviors
(Mastery)
Designs and implements feedback loops to identify and promptly address business problems.
Skill definition-Gathering, analyzing, and predicting patterns and structures of historical data and trends to make strategic decisions for better future outcomes.
Level 1 Behaviors
(General Familiarity)
Explains the importance of predictive analytics as a decision-making tool for the business.
Level 2 Behaviors
(Light Experience)
Identifies the strengths and weaknesses of various algorithms used in predictive analytics.
Level 3 Behaviors
(Moderate Experience)
Uses statistical models to predict data patterns and identify risks and opportunities.
Level 4 Behaviors
(Extensive Experience)
Provides subject matter expertise in validating models and interpreting metrics.
Level 5 Behaviors
(Mastery)
Leads predictive analytics modeling tasks to advance interests and improve operations of our business.
There are 0 hard skills for Supply Chain Analyst II.
14 general skills for Supply Chain Analyst II, Data Analytics, Enterprise Resource Planning (ERP), ERP Systems, etc.
7 soft skills for Supply Chain Analyst II, Business Acumen, Predictive Analytics, Key Performance Indicators (KPI), etc.
While the list totals 21 distinct skills, it's important to note that not all are required to be mastered to the same degree. Some skills may only need a basic understanding, whereas others demand a higher level of expertise.
For instance, as a Supply Chain Analyst II, he or she needs to be proficient in Business Acumen, be proficient in Predictive Analytics, and be proficient in Key Performance Indicators (KPI).
