1. What is the average salary of an Inventory Control Manager?
The average annual salary of Inventory Control Manager is $95,001.
In case you are finding an easy salary calculator,
the average hourly pay of Inventory Control Manager is $46;
the average weekly pay of Inventory Control Manager is $1,827;
the average monthly pay of Inventory Control Manager is $7,917.
2. Where can an Inventory Control Manager earn the most?
An Inventory Control Manager's earning potential can vary widely depending on several factors, including location, industry, experience, education, and the specific employer.
According to the latest salary data by Salary.com, an Inventory Control Manager earns the most in San Jose, CA, where the annual salary of an Inventory Control Manager is $119,825.
3. What is the highest pay for Inventory Control Manager?
The highest pay for Inventory Control Manager is $107,396.
4. What is the lowest pay for Inventory Control Manager?
The lowest pay for Inventory Control Manager is $77,593.
5. What are the responsibilities of Inventory Control Manager?
Manages inventory control operations. Implements policies, objectives, and initiatives. Employs standards, metrics, and procedures that maximize inventory management efficiency. Assists with inventory planning, scheduling, forecasting, and control operations. Implements Inventory tools and systems for tracking, analysis, auditing, and reporting. Collaborates with cross-functional teams and stakeholders to identify and prioritize initiatives to optimize inventory capabilities and develop best inventory management practices. Requires a bachelor's degree. Typically reports to a head of a unit/department. Manages subordinate staff in the day-to-day performance of their jobs. True first level manager. Ensures that project/department milestones/goals are met and adhering to approved budgets. Has full authority for personnel actions. Typically requires 5 years experience in the related area as an individual contributor. 1 - 3 years supervisory experience may be required. Extensive knowledge of the function and department processes.
6. What are the skills of Inventory Control Manager
Specify the abilities and skills that a person needs in order to carry out the specified job duties. Each competency has five to ten behavioral assertions that can be observed, each with a corresponding performance level (from one to five) that is required for a particular job.
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Leadership: Knowledge of and ability to employ effective strategies that motivate and guide other members within our business to achieve optimum results.
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ERP: Enterprise resource planning (ERP) refers to a type of software that organizations use to manage day-to-day business activities such as accounting, procurement, project management, risk management and compliance, and supply chain operations.
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Data Analysis: Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains. In today's business world, data analysis plays a role in making decisions more scientific and helping businesses operate more effectively. Data mining is a particular data analysis technique that focuses on modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. In statistical applications, data analysis can be divided into descriptive statistics, exploratory data analysis (EDA), and confirmatory data analysis (CDA). EDA focuses on discovering new features in the data while CDA focuses on confirming or falsifying existing hypotheses. Predictive analytics focuses on application of statistical models for predictive forecasting or classification, while text analytics applies statistical, linguistic, and structural techniques to extract and classify information from textual sources, a species of unstructured data. All of the above are varieties of data analysis.