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%
$80,108
TOTAL 50%
$82,532
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 functions of existing and emerging data and business intelligence platforms.
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Level 2 Behaviors
(Light Experience)
Gathers business intelligence data to make informed conclusions on business practices.
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Level 3 Behaviors
(Moderate Experience)
Produces a user manual for the business intelligence system to assist stakeholders with proper data navigation.
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Level 4 Behaviors
(Extensive Experience)
Manages the overall data transformation from multiple sources into actionable business intelligence.
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Level 5 Behaviors
(Mastery)
Designs a new strategy for business intelligence insights to support our business's objectives.
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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 interpret data analytics and metrics to drive better business decision-making.
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Level 2 Behaviors
(Light Experience)
Identifies opportunities for data analytics process improvement and automation.
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Level 3 Behaviors
(Moderate Experience)
Provides and leverages data analytics solutions to mitigate business risk and handle setbacks.
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Level 4 Behaviors
(Extensive Experience)
Oversees data analytics team members to ensure data collection and management meet requirements.
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Level 5 Behaviors
(Mastery)
Establishes performance metrics focused on Data Analytics to track optimization opportunities.
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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)
Differentiates between predictive analytics and machine learning.
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Level 2 Behaviors
(Light Experience)
Collects data from specific sources to support data processing in predictive analytics.
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Level 3 Behaviors
(Moderate Experience)
Recommends fixes and optimizations to avoid future malfunctions and maximize efficiency.
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Level 4 Behaviors
(Extensive Experience)
Monitors performance to ensure accuracy and relevance of predictions in driving organizational growth.
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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)
Describes the concepts and purposes of Key Performance Indicators (KPI).
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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)
Defines KPIs in terms of Specific, Measurable, Achievable, Realistic, and Timely (SMART) goal criteria.
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Level 4 Behaviors
(Extensive Experience)
Develops and delivers training programs on KPI practices to employees and managers.
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Level 5 Behaviors
(Mastery)
Establishes organizational Key Performance Indicators (KPI) frameworks and management processes.
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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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