7 general skills or competencies (Job family competencies) for Workforce Analytics 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)
Lists the steps on how to run and develop data analytic models.
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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)
Uses data analytics for all reporting to meet user requirements.
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Level 4 Behaviors
(Extensive Experience)
Performs data quality audits to ensure compliance with custom analytic deliverables.
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Level 5 Behaviors
(Mastery)
Keeps up-to-date on emerging technology trends in data analytics to apply in our organization.
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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)
Supports our management in creating and implementing HRIS departmental Standard Operating Procedures.
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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)
Keeps updated on the future functionality of HRIS applications providing a strategic path for upgrades.
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12 soft skills or competencies (core competencies) for Workforce Analytics 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)
Describes how our business makes money and our key business objectives.
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Level 2 Behaviors
(Light Experience)
Assists in designing business models and operating plans.
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Level 3 Behaviors
(Moderate Experience)
Applies technical expertise, business sense, and product knowledge to manage the product lifecycle effectively.
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Level 4 Behaviors
(Extensive Experience)
Consults on the selection and adjustment of the go-to-market strategy.
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Level 5 Behaviors
(Mastery)
Builds strong business partnerships internally and externally to drive "win-win" business successes.
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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)
Cites examples of KPIs applied at individual, team, and organizational levels.
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Level 2 Behaviors
(Light Experience)
Assists in KPI analysis and patterns discovery to support management in decision making.
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Level 3 Behaviors
(Moderate Experience)
Communicates KPI-related initiatives such as what, why, and how to ensure transparency.
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Level 4 Behaviors
(Extensive Experience)
Consults on using KPI for business review and forecasting.
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Level 5 Behaviors
(Mastery)
Champions the adoption of KPI-based management to promote high-performance culture.
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Summary of Workforce Analytics Manager skills and competencies
There are 0 hard skills for Workforce Analytics Manager..
7 general skills for Workforce Analytics Manager, Data Analytics, Human Resource Information System (HRIS), Human Resources Operations, etc.
12 soft skills for Workforce Analytics Manager, Business Acumen, Key Performance Indicators (KPI), Business Process Improvement, 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 Workforce Analytics Manager, he or she needs to be skilled in Business Acumen, be an expert in Key Performance Indicators (KPI), and be skilled in Business Process Improvement.