Skills & Competencies for Statistician II

Statistician II job profile

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JOB SUMMARY for Statistician II

Analyzes and interprets data from various sources.

JOB RESPONSIBILITIES for Statistician II

Forecasts trends using regression and other methods of statistical modeling. Works closely with other organizational groups to understand data and provide relevant, informative insights. Presents technical reports and findings to those groups. Uses knowledge of scripting and programming languages to clean, process, and analyze large data sets.

Statistician II SALARY RANGE

BASE 50%
$90,036
TOTAL 50%
$92,126
Job Level
P02
Job Code
RD14000001
Education/Degree
Bachelor's Degree
Reports To
Supervisor or Manager

Statistician 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 Statistician II skill and competencie below to view definitions.
JOB FAMILY COMPETENCIES CORE COMPETENCIES
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13 general skills or competencies (Job family competencies) for Statistician 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)
Describes the basic terminologies used in business intelligence and business analytics processes.
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Level 2 Behaviors
(Light Experience)
Assists in preparing insights for business performance by using business intelligence tools.
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Level 3 Behaviors
(Moderate Experience)
Implements the integration of proprietary business intelligence applications within the department.
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Level 4 Behaviors
(Extensive Experience)
Directs the development of a business intelligence platform to report end-user data mining.
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Level 5 Behaviors
(Mastery)
Creates business intelligence reviews and strategies to interpret short-term and long-range forecasts.
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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)
Discusses the models and roles of business data analytics.
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Level 2 Behaviors
(Light Experience)
Collects data from sources to provide data analysis and insights.
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Level 3 Behaviors
(Moderate Experience)
Partners with internal and data engineering teams to fully optimize acquisition data sources.
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Level 4 Behaviors
(Extensive Experience)
Enhances data collection procedures to build analytic systems.
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Level 5 Behaviors
(Mastery)
Develops robust analytics requirements to define algorithms and data sources for stakeholders.
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3 Statistician II - Skill and Competency
Proficiency Level - 3
4 Skill and Competency - Statistician II
Proficiency Level - 4
5 Competency for - Statistician II
Proficiency Level - 5

6 soft skills or competencies (core competencies) for Statistician 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)
Describes various predictive model types, including decision trees, regression, and neural networks.
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Level 2 Behaviors
(Light Experience)
Assists in creating and validating predictive models.
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Level 3 Behaviors
(Moderate Experience)
Performs complex calculations and meaningful ratios for accurate analytics.
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Level 4 Behaviors
(Extensive Experience)
Directs predictive techniques to increase organizational success and decrease operational failures.
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Level 5 Behaviors
(Mastery)
Champions adoption of new predictive analytics tools to optimize key decisions for our business.
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2 Core Competencies – Analytical Thinking
Proficiency Level -2
Skill definition-Gathering, organizing, and analyzing information to identify the root cause of organizational problems and develop alternative solutions accordingly.
Level 1 Behaviors
(General Familiarity)
Describes the importance of analytical thinking in the workplace.
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Level 2 Behaviors
(Light Experience)
Asks the right questions to ensure clarity on business goals and requirements.
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Level 3 Behaviors
(Moderate Experience)
Decomposes complex issues into several parts and solves them individually.
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Level 4 Behaviors
(Extensive Experience)
Determines and prioritizes the sequence of steps for a specific situation.
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Level 5 Behaviors
(Mastery)
Establishes critical training and initiatives to foster analytical thinking across our business.
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3 Statistician II - Skill and Competency
Proficiency Level - 3
4 Skill and Competency - Statistician II
Proficiency Level - 4
5 Competency for - Statistician II
Proficiency Level - 5

Summary of Statistician II skills and competencies

There are 0 hard skills for Statistician II..
13 general skills for Statistician II, Business Intelligence, Data Analytics, Data Modeling, etc.
6 soft skills for Statistician II, Predictive Analytics, Analytical Thinking, Attention to Detail, 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 Statistician II, he or she needs to be proficient in Predictive Analytics, be proficient in Analytical Thinking, and be proficient in Attention to Detail.

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