Skills & Competencies for Forecast Analyst II

Forecast Analyst II job profile

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.

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)
Explains the data modeling and reporting concepts applicable to business Intelligence.
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Level 2 Behaviors
(Light Experience)
Collects business intelligence data to analyze our business's competitiveness.
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Level 3 Behaviors
(Moderate Experience)
Partners with the management in streamlining business intelligence and analytics tools.
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Level 4 Behaviors
(Extensive Experience)
Drives the overall data quality improvement initiatives to leverage business intelligence tools.
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Level 5 Behaviors
(Mastery)
Creates overall solutions for various complex enterprise needs in the business intelligence area.
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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)
Explains how to apply data analytics to successful strategies.
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Level 2 Behaviors
(Light Experience)
Conducts data cleaning process by removing duplicate records to ensure effective data analytics.
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Level 3 Behaviors
(Moderate Experience)
Prepares data analytics tool to create visualizations.
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Level 4 Behaviors
(Extensive Experience)
Leads overall data analytics activities of our organization to apply decision-making techniques.
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Level 5 Behaviors
(Mastery)
Establishes best-in-class analytic data to improve performance by discovering patterns in data.
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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)
Utilizes various statistics and modeling techniques in assessing future business performances.
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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)
Makes in-depth analyses of the importance of predictive analysis to save money or generate more profit.
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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)
Identifies KPIs currently in use and provides input to management.
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Level 3 Behaviors
(Moderate Experience)
Maintains an organized data management process to track progress on KPIs.
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Level 4 Behaviors
(Extensive Experience)
Leverages the Business Intelligence (BI) technologies and tools for KPI reporting and analysis.
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Level 5 Behaviors
(Mastery)
Monitors the efficiency and effectiveness of current organizational KPI architecture.
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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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