Manages a team of statisticians providing statistical experise and insight.
Ensures relevant organizational functions receive adequate support, and that related projects run smoothly. Oversees the training and work of statisticians, and gives guidance that ensures accurate, insightful, and well-presented analyses.
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 Managing Statistician skill and competencie below to view definitions.
Skill definition-Evaluating business data, translating it to actionable insights, and using it to make better-informed decisions.
Level 1 Behaviors
(General Familiarity)
Describes the basic terminologies used in business intelligence and business analytics processes.
Level 2 Behaviors
(Light Experience)
Assists in preparing insights for business performance by using business intelligence tools.
Level 3 Behaviors
(Moderate Experience)
Implements the integration of proprietary business intelligence applications within the department.
Level 4 Behaviors
(Extensive Experience)
Directs the development of a business intelligence platform to report end-user data mining.
Level 5 Behaviors
(Mastery)
Creates business intelligence reviews and strategies to interpret short-term and long-range forecasts.
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)
Discusses best practices and concepts in data analytics.
Level 2 Behaviors
(Light Experience)
Collects data from sources to provide data analysis and insights.
Level 3 Behaviors
(Moderate Experience)
Makes recommendations based on findings from data analytics to report to potential clients.
Level 4 Behaviors
(Extensive Experience)
Enhances data collection procedures to build analytic systems.
Level 5 Behaviors
(Mastery)
Develops new Data Analytics methodologies and procedures to support business in decision making.
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 the market conditions that impact the business.
Level 2 Behaviors
(Light Experience)
Collects and compiles competitor information for competitive analysis.
Level 3 Behaviors
(Moderate Experience)
Applies technical expertise, business sense, and product knowledge to manage the product lifecycle effectively.
Level 4 Behaviors
(Extensive Experience)
Coordinates technical and business teams to solve complex and diverse customer problems.
Level 5 Behaviors
(Mastery)
Builds strong business partnerships internally and externally to drive "win-win" business successes.
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)
Describes various predictive model types, including decision trees, regression, and neural networks.
Level 2 Behaviors
(Light Experience)
Assists in creating and validating predictive models.
Level 3 Behaviors
(Moderate Experience)
Demonstrates a proactive mindset in analyzing the probability of historical data for future trends.
Level 4 Behaviors
(Extensive Experience)
Directs predictive techniques to increase organizational success and decrease operational failures.
Level 5 Behaviors
(Mastery)
Champions adoption of new predictive analytics tools to optimize key decisions for our business.
There are 0 hard skills for Managing Statistician.
10 general skills for Managing Statistician, Business Intelligence, Data Analytics, Data Modeling, etc.
11 soft skills for Managing Statistician, Business Acumen, Predictive Analytics, Planning and Organizing, 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 Managing Statistician, he or she needs to be proficient in Business Acumen, be skilled in Predictive Analytics, and be skilled in Planning and Organizing.
