Skills & Competencies for Forecast Analyst II

Forecast Analyst II job profile

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JOB SUMMARY for Forecast Analyst II

Analyzes inventory levels, production speed, and product demand to determine the amount of finished product that will be produced.

JOB RESPONSIBILITIES for Forecast Analyst II

Determines the best metrics to use to provide the most accurate representation of the forecast. Works with other departments within the organization to determine optimal inventory levels.

Forecast Analyst II SALARY RANGE

BASE 50%
$79,899
TOTAL 50%
$82,319
Job Level
P02
Job Code
MM18000105
Education/Degree
Bachelor's Degree
Reports To
Supervisor or Manager

Forecast Analyst II Skills and Competencies List

Proficiency Levels and Behavioural Indicators
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 Forecast Analyst II skill and competencie below to view definitions.
JOB FAMILY COMPETENCIES CORE COMPETENCIES
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10 general skills or competencies (Job family competencies) for Forecast Analyst II

1 Job Family Competencies – Business Intelligence
Proficiency Level -2
Skill definition-Evaluating business data, translating it to actionable insights, and using it to make better-informed decisions.
Level 1 Behaviors
(General Familiarity)
Describes the basic terminologies used in business intelligence and business analytics processes.
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Level 2 Behaviors
(Light Experience)
Assists in preparing insights for business performance by using business intelligence tools.
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Level 3 Behaviors
(Moderate Experience)
Implements the integration of proprietary business intelligence applications within the department.
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Level 4 Behaviors
(Extensive Experience)
Directs the development of a business intelligence platform to report end-user data mining.
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Level 5 Behaviors
(Mastery)
Creates business intelligence reviews and strategies to interpret short-term and long-range forecasts.
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2 Job Family Competencies – Data Analytics
Proficiency Level -2
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)
Discusses best practices and concepts in data analytics.
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Level 2 Behaviors
(Light Experience)
Collects data from sources to provide data analysis and insights.
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Level 3 Behaviors
(Moderate Experience)
Makes recommendations based on findings from data analytics to report to potential clients.
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Level 4 Behaviors
(Extensive Experience)
Enhances data collection procedures to build analytic systems.
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Level 5 Behaviors
(Mastery)
Develops new Data Analytics methodologies and procedures to support business in decision making.
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3 Forecast Analyst II - Skill and Competency
Proficiency Level - 3
4 Skill and Competency - Forecast Analyst II
Proficiency Level - 4
5 Competency for - Forecast Analyst II
Proficiency Level - 5

9 soft skills or competencies (core competencies) for Forecast Analyst II

1 Core Competencies – Predictive Analytics
Proficiency Level -2
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.
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Level 2 Behaviors
(Light Experience)
Identifies the strengths and weaknesses of various algorithms used in predictive analytics.
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Level 3 Behaviors
(Moderate Experience)
Uses statistical models to predict data patterns and identify risks and opportunities.
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Level 4 Behaviors
(Extensive Experience)
Provides subject matter expertise in validating models and interpreting metrics.
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Level 5 Behaviors
(Mastery)
Leads predictive analytics modeling tasks to advance interests and improve operations of our business.
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2 Core Competencies – Key Performance Indicators (KPI)
Proficiency Level -2
Skill definition-Knowledge of and ability to apply a set of quantifiable measurements to determine how effectively an individual, team or organization is achieving a business objective.
Level 1 Behaviors
(General Familiarity)
Explains the benefits and risks of using KPIs.
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Level 2 Behaviors
(Light Experience)
Gathers internal and external benchmarks for KPI development.
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Level 3 Behaviors
(Moderate Experience)
Interprets and analyses KPI data to recommend courses of action.
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Level 4 Behaviors
(Extensive Experience)
Evaluates ongoing productivity; recommends corresponding modifications on KPIs as indicated.
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Level 5 Behaviors
(Mastery)
Leads efforts to improve performance as identified and measured by KPIs.
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3 Forecast Analyst II - Skill and Competency
Proficiency Level - 3
4 Skill and Competency - Forecast Analyst II
Proficiency Level - 4
5 Competency for - Forecast Analyst II
Proficiency Level - 5

Summary of Forecast Analyst II skills and competencies

There are 0 hard skills for Forecast Analyst II.
10 general skills for Forecast Analyst II, Business Intelligence, Data Analytics, Bill of Materials, etc.
9 soft skills for Forecast Analyst II, Predictive Analytics, Key Performance Indicators (KPI), Financial Acumen, etc.
While the list totals 19 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 Forecast Analyst II, he or she needs to be proficient in Predictive Analytics, be proficient in Key Performance Indicators (KPI), and be proficient in Financial Acumen.

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