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)
Lists the basic features of general business intelligence systems and database structure.
Level 2 Behaviors
(Light Experience)
Supports end-users in using business intelligence tools to query databases for outputs and data preparation.
Level 3 Behaviors
(Moderate Experience)
Utilizes business intelligence platforms to derive insights to present the data to our business.
Level 4 Behaviors
(Extensive Experience)
Provides technical oversight and design to support the development of business intelligence solutions.
Level 5 Behaviors
(Mastery)
Leads the development of visual business intelligence models to utilize business intelligence tools.
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 tools and techniques in business data analytics.
Level 2 Behaviors
(Light Experience)
Supports the existing business technology systems to develop a mature data analytics capability.
Level 3 Behaviors
(Moderate Experience)
Works with data analytics team to ensure data integrity and accuracy on the service.
Level 4 Behaviors
(Extensive Experience)
Shares to the team the latest technological advances to accelerate data analytics.
Level 5 Behaviors
(Mastery)
Shares emerging advancements and technologies in data analytics to 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)
Works with teams in using different kinds of cross-validation to test results of predictive models.
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)
Makes a list of items without order or set of priorities.
Level 3 Behaviors
(Moderate Experience)
Summarizes historical experience to find probable causes of the problem.
Level 4 Behaviors
(Extensive Experience)
Leads brainstorming to encourage teammates to create new perspectives.
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.
