Analyzes and interprets data from various sources.
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.
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.
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 data modeling and reporting concepts applicable to business Intelligence.
Level 2 Behaviors
(Light Experience)
Collects business intelligence data to analyze our business's competitiveness.
Level 3 Behaviors
(Moderate Experience)
Partners with the management in streamlining business intelligence and analytics tools.
Level 4 Behaviors
(Extensive Experience)
Drives the overall data quality improvement initiatives to leverage business intelligence tools.
Level 5 Behaviors
(Mastery)
Creates overall solutions for various complex enterprise needs in the business intelligence area.
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 apply data analytics to successful strategies.
Level 2 Behaviors
(Light Experience)
Conducts data cleaning process by removing duplicate records to ensure effective data analytics.
Level 3 Behaviors
(Moderate Experience)
Prepares data analytics tool to create visualizations.
Level 4 Behaviors
(Extensive Experience)
Leads overall data analytics activities of our organization to apply decision-making techniques.
Level 5 Behaviors
(Mastery)
Establishes best-in-class analytic data to improve performance by discovering patterns in data.
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)
Differentiates between predictive analytics and machine learning.
Level 2 Behaviors
(Light Experience)
Collects data from specific sources to support data processing in predictive analytics.
Level 3 Behaviors
(Moderate Experience)
Recommends fixes and optimizations to avoid future malfunctions and maximize efficiency.
Level 4 Behaviors
(Extensive Experience)
Monitors performance to ensure accuracy and relevance of predictions in driving organizational growth.
Level 5 Behaviors
(Mastery)
Develops predictive models to determine and draw up predictions about future industry trends.
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)
Explains the integral role data collection plays when conducting analytical thinking.
Level 2 Behaviors
(Light Experience)
Breaks down a specific project into lists of tasks.
Level 3 Behaviors
(Moderate Experience)
Develops alternative solutions and compares the pros and cons.
Level 4 Behaviors
(Extensive Experience)
Draws conclusions based upon logic and intuitive judgment.
Level 5 Behaviors
(Mastery)
Evaluates potential risks using extensive industry knowledge when considering new opportunities.
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.
