7 general skills or competencies (Job family competencies) for Workforce Analytics Senior Manager
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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Skill definition-The ability to work with, utilize, maintain, troubleshoot and update the HR related system or software to manage HR data.
Level 1 Behaviors
(General Familiarity)
Lists the basic HRIS database design, structures, and concepts in our workplace.
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Level 2 Behaviors
(Light Experience)
Reports on HRIS technical issues to management to make an appropriate solution to the issues.
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Level 3 Behaviors
(Moderate Experience)
Performs data integrity analysis to ensure the system is properly recording and analyzing HRIS metrics.
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Level 4 Behaviors
(Extensive Experience)
Provides training on HRIS configuration options to automate processes of our HR operations.
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Level 5 Behaviors
(Mastery)
Establishes HRIS goals and develops appropriate plans to execute from concept through implementation.
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14 soft skills or competencies (core competencies) for Workforce Analytics Senior Manager
Skill definition-Insight into our organization's business, goals, and values. Ability to design and implement initiatives that facilitate successful outcomes.
Level 1 Behaviors
(General Familiarity)
Explains our key business strategies and priorities.
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Level 2 Behaviors
(Light Experience)
Reports and communicates market and competitor status regularly to the management team.
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Level 3 Behaviors
(Moderate Experience)
Evaluates supply chain efficiency with an eye toward improving shortcomings.
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Level 4 Behaviors
(Extensive Experience)
Leverages the latest technologies and tools that enhance business analytics.
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Level 5 Behaviors
(Mastery)
Designs and implements feedback loops to identify and promptly address business problems.
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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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Summary of Workforce Analytics Senior Manager skills and competencies
There are 0 hard skills for Workforce Analytics Senior Manager.
7 general skills for Workforce Analytics Senior Manager, Data Analytics, Human Resource Information System (HRIS), Human Resources Operations, etc.
14 soft skills for Workforce Analytics Senior Manager, Business Acumen, Key Performance Indicators (KPI), Business Process Improvement, etc.
While the list totals 21 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 Workforce Analytics Senior Manager, he or she needs to be skilled in Business Acumen, be an expert in Key Performance Indicators (KPI), and be an expert in Business Process Improvement.