1. What are the responsibilities of Strategic Planning Analyst II?
Assists in the development of long-term goals and strategic objectives for an organization. Identifies, analyzes, and monitors issues that affect profitability, growth, and productivity. May be responsible for external corporate communications with industry analysts and the investment community. May also be responsible for recommending financial and non-financial strategic alternatives and developing and maintaining operational plans. Requires a bachelor's degree. Typically reports to supervisor or manager. Gains exposure to some of the complex tasks within the job function. Occasionally directed in several aspects of the work. Typically requires 2 to 4 years of related experience.
2. What are the skills of Strategic Planning Analyst II
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.
1.)
Planning:
An act or process of making or carrying out plans. Establishment of goals, policies, and procedures for a social or economic unit city planning business planning.
2.)
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.
3.)
Merchandising:
In the broadest sense, merchandising is any practice which contributes to the sale of products to a retail consumer. At a retail in-store level, merchandising refers to the variety of products available for sale and the display of those products in such a way that it stimulates interest and entices customers to make a purchase. In the profession of merchandising you are either employed by the store in which you work, or by an independent distributor. As a professional merchandiser, in a retail setting, you will not only know your products(I.e. coffee, juice, soda, etc.) but you will gauge other “vendors” like products as you tend to your job. Working with the store and other merchandisers, shelf space is often given or taken as need be in some locations(for some young merchandisers this is known as “war”) In retail commerce, visual display merchandising means merchandise sales using product design, selection, packaging, pricing, and display that stimulates consumers to spend more. This includes disciplines and discounting, physical presentation of products and displays, and the decisions about which products should be presented to which customers at what time.
