Manages the analysis of workforce metrics in order to optimize human resource capacity planning and maximize labor utilization rates.
Oversees quantitative analysis and the creation of predictive models used for enhancing forecasting accuracy and improving workforce decision making. Guides efforts to automate data collection and analysis, create visualizations, and develop new analytic tools.
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 Workforce Analytics Senior Manager skill and competencie below to view definitions.
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.
Level 2 Behaviors
(Light Experience)
Documents data requirements for projects by working with business users.
Level 3 Behaviors
(Moderate Experience)
Provides and leverages data analytics solutions to mitigate business risk and handle setbacks.
Level 4 Behaviors
(Extensive Experience)
Oversees data analytics team members to ensure data collection and management meet requirements.
Level 5 Behaviors
(Mastery)
Establishes performance metrics focused on Data Analytics to track optimization opportunities.
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.
Level 2 Behaviors
(Light Experience)
Reports on HRIS technical issues to management to make an appropriate solution to the issues.
Level 3 Behaviors
(Moderate Experience)
Performs data integrity analysis to ensure the system is properly recording and analyzing HRIS metrics.
Level 4 Behaviors
(Extensive Experience)
Provides training on HRIS configuration options to automate processes of our HR operations.
Level 5 Behaviors
(Mastery)
Establishes HRIS goals and develops appropriate plans to execute from concept through implementation.
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)
Names our key stakeholders from a business value chain perspective.
Level 2 Behaviors
(Light Experience)
Supports the planning, implementation, and management of training programs that foster process improvements.
Level 3 Behaviors
(Moderate Experience)
Participates in the redesign of organizational structures to reflect business priorities.
Level 4 Behaviors
(Extensive Experience)
Trains others on various business and operation topics.
Level 5 Behaviors
(Mastery)
Forecasts the short-term and long-term impact of various business cases on P&L performance.
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)
Lists some typical KPIs from own industry, business, and function.
Level 2 Behaviors
(Light Experience)
Produces standard and ad-hoc KPI reports following standard procedures.
Level 3 Behaviors
(Moderate Experience)
Participates in regular KPI reviews to evaluate goals, performance, and growth opportunities.
Level 4 Behaviors
(Extensive Experience)
Works with external stakeholders, such as key clients and vendors to determine complicated KPIs.
Level 5 Behaviors
(Mastery)
Reports on up to date industry and market benchmarks and trends in KPI best practices.
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.
