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)
Lists the steps on how to run and develop data analytic models.
Level 2 Behaviors
(Light Experience)
Supports the existing business technology systems to develop a mature data analytics capability.
Level 3 Behaviors
(Moderate Experience)
Uses data analytics for all reporting to meet user requirements.
Level 4 Behaviors
(Extensive Experience)
Performs data quality audits to ensure compliance with custom analytic deliverables.
Level 5 Behaviors
(Mastery)
Keeps up-to-date on emerging technology trends in data analytics to apply in our organization.
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)
Lists various kinds of applications that use predictive analytics.
Level 2 Behaviors
(Light Experience)
Interprets the reasons for statistical errors, misinterpretations, and false positives.
Level 3 Behaviors
(Moderate Experience)
Utilizes various statistics and modeling techniques in assessing future business performances.
Level 4 Behaviors
(Extensive Experience)
Researches and lists the cases that are predicted wrongly and then learns how to improve.
Level 5 Behaviors
(Mastery)
Stays current with the latest research on predictive analytics.
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)
Lists skills, traits, and characteristics of analytical thinkers.
Level 2 Behaviors
(Light Experience)
Illustrates logical relationships among diverse entities.
Level 3 Behaviors
(Moderate Experience)
Investigates analytical thinking tools and incorporates them accordingly.
Level 4 Behaviors
(Extensive Experience)
Guides others to analyze all factors and parameters that need to be considered.
Level 5 Behaviors
(Mastery)
Promotes the adoption of business intelligence analysis technology to drive strategic decisions.
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.
