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 IV 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)
Compiles a list of the basic processes to navigate business intelligence dashboards and tools.
Level 2 Behaviors
(Light Experience)
Assists in developing enterprise business intelligence applications to collect large amounts of data.
Level 3 Behaviors
(Moderate Experience)
Implements complex analysis solutions to support the business intelligence environment.
Level 4 Behaviors
(Extensive Experience)
Aligns the business capability requirements to the business intelligence and data strategy roadmaps.
Level 5 Behaviors
(Mastery)
Champions the adoption of advanced business intelligence tools to promote the data dissemination process.
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)
Describes the fundamentals of data and business analytics.
Level 2 Behaviors
(Light Experience)
Applies broad knowledge and best practices to provide data analytics services to clients.
Level 3 Behaviors
(Moderate Experience)
Communicates and interprets data to provide clarity to non-technical and technical audiences.
Level 4 Behaviors
(Extensive Experience)
Communicates data analytics results to initiate insights to stakeholders and our organization.
Level 5 Behaviors
(Mastery)
Designs the conceptual, logical, and physical data models to support the analytic data requirements.
Skill definition-Insight into our organization's business, goals, and values. Ability to design and implement initiatives that facilitate successful outcomes.
Level 1 Behaviors
(General Familiarity)
Describes how our business makes money and our key business objectives.
Level 2 Behaviors
(Light Experience)
Assists in designing business models and operating plans.
Level 3 Behaviors
(Moderate Experience)
Analyses the business impact of demographic changes; suggests effective responses.
Level 4 Behaviors
(Extensive Experience)
Consults on the selection and adjustment of the go-to-market strategy.
Level 5 Behaviors
(Mastery)
Builds a mentoring model to ensure a continuous increase of business sense within our business.
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 the basics of predictive model techniques.
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.
There are 0 hard skills for Statistician IV.
13 general skills for Statistician IV, Business Intelligence, Data Analytics, Data Modeling, etc.
10 soft skills for Statistician IV, Business Acumen, Predictive Analytics, Analytical Thinking, etc.
While the list totals 23 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 IV, he or she needs to be proficient in Business Acumen, be skilled in Predictive Analytics, and be skilled in Analytical Thinking.
