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%
$84,224
TOTAL 50%
$86,013
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)
Explains the functions of existing and emerging data and business intelligence platforms.
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Level 2 Behaviors
(Light Experience)
Gathers business intelligence data to make informed conclusions on business practices.
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Level 3 Behaviors
(Moderate Experience)
Produces a user manual for the business intelligence system to assist stakeholders with proper data navigation.
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Level 4 Behaviors
(Extensive Experience)
Manages the overall data transformation from multiple sources into actionable business intelligence.
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Level 5 Behaviors
(Mastery)
Designs a new strategy for business intelligence insights to support our business's objectives.
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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)
Explains how to interpret data analytics and metrics to drive better business decision-making.
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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)
Provides and leverages data analytics solutions to mitigate business risk and handle setbacks.
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Level 4 Behaviors
(Extensive Experience)
Oversees data analytics team members to ensure data collection and management meet requirements.
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Level 5 Behaviors
(Mastery)
Establishes performance metrics focused on Data Analytics to track optimization opportunities.
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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)
Explains the importance of predictive analytics as a decision-making tool for the business.
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Level 2 Behaviors
(Light Experience)
Identifies the strengths and weaknesses of various algorithms used in predictive analytics.
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Level 3 Behaviors
(Moderate Experience)
Uses statistical models to predict data patterns and identify risks and opportunities.
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Level 4 Behaviors
(Extensive Experience)
Provides subject matter expertise in validating models and interpreting metrics.
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Level 5 Behaviors
(Mastery)
Makes in-depth analyses of the importance of predictive analysis to save money or generate more profit.
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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)
Identifies tools that assist analytical thinking.
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Level 2 Behaviors
(Light Experience)
Gathers necessary information from various channels to support decision-making.
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Level 3 Behaviors
(Moderate Experience)
Handles complex issues and provides solutions to improve efficiency and scalability.
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Level 4 Behaviors
(Extensive Experience)
Evaluates the cost, return, risks, and achievements before recommending a solution.
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Level 5 Behaviors
(Mastery)
Investigates industry trends and adjusts our business's strategy accordingly.
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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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