Statistician Salary at Cresst BETA
How much does a Cresst Statistician make?
As of April 2025, the average annual salary for a Statistician at Cresst is $78,236, which translates to approximately $38 per hour. Salaries for Statistician at Cresst typically range from $68,275 to $89,262, reflecting the diverse roles within the company.
It's essential to understand that salaries can vary significantly based on factors such as geographic location, departmental budget, and individual qualifications. Key determinants include years of experience, specific skill sets, educational background, and relevant certifications. For a more tailored salary estimate, consider these variables when evaluating compensation for this role.
DISCLAIMER: The salary range presented here is an estimation that has been derived from our proprietary algorithm. It should be noted that this range does not originate from the company's factual payroll records or survey data.
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What Skills Does a person Need at Cresst?
At Cresst, specify the abilities and skills that a person needs in order to carry out the specified job duties. Each competency has five to ten behavioral assertions that can be observed, each with a corresponding performance level (from one to five) that is required for a particular job.
- Analysis: Analysis is the process of considering something carefully or using statistical methods in order to understand it or explain it.
- SAS: SAS (Statistical Analysis System) is a statistical software suite developed by SAS Institute for data management, advanced analytics, multivariate analysis, business intelligence, criminal investigation, and predictive analytics.
- Statistical Analysis: Statistics is a branch of mathematics working with data collection, organization, analysis, interpretation and presentation. In applying statistics to a scientific, industrial, or social problem, it is conventional to begin with a statistical population or a statistical model to be studied. Populations can be diverse groups of people or objects such as "all people living in a country" or "every atom composing a crystal". Statistics deals with every aspect of data, including the planning of data collection in terms of the design of surveys and experiments. See glossary of probability and statistics. When census data cannot be collected, statisticians collect data by developing specific experiment designs and survey samples. Representative sampling assures that inferences and conclusions can reasonably extend from the sample to the population as a whole. An experimental study involves taking measurements of the system under study, manipulating the system, and then taking additional measurements using the same procedure to determine if the manipulation has modified the values of the measurements. In contrast, an observational study does not involve experimental manipulation.
- Data Analysis: Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains. In today's business world, data analysis plays a role in making decisions more scientific and helping businesses operate more effectively. Data mining is a particular data analysis technique that focuses on modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. In statistical applications, data analysis can be divided into descriptive statistics, exploratory data analysis (EDA), and confirmatory data analysis (CDA). EDA focuses on discovering new features in the data while CDA focuses on confirming or falsifying existing hypotheses. Predictive analytics focuses on application of statistical models for predictive forecasting or classification, while text analytics applies statistical, linguistic, and structural techniques to extract and classify information from textual sources, a species of unstructured data. All of the above are varieties of data analysis.
- Programming: Executing logic to facilitate computing operations and functionality in one or more languages.
Related Jobs
Check more jobs information at Cresst
| Job Title | Average Cresst Salary | Hourly Rate | |
|---|---|---|---|
| 2 | Manager, Public Relations | $113,762 | $55 |
| 3 | Marketing Assistant | $44,520 | $21 |
| 4 | Membership Coordinator | $40,742 | $20 |
| 5 | Coordinator and Teacher | $58,407 | $28 |
| 6 | Maintenance Worker | $56,372 | $27 |
| 7 | Manager, Business | $127,319 | $61 |
| 8 | Research Assistant | $72,782 | $35 |
| 9 | Senior Associate Director | $152,502 | $73 |
| 10 | Programmer | $69,327 | $33 |
| 11 | Project Manager | $107,660 | $52 |
| 12 | Editorial Assistant | $43,988 | $21 |
Hourly Pay at Cresst
FAQ about Salary and Jobs at Cresst
The average hourly pay is $38. The salary for each employee depends on several factors, including the level of experience, work performance, certifications and skills.
According to the data, the highest approximate salary is about $89,262 per year. Salaries are usually determined by comparing other employees’ salaries in similar positions in the same region and industry.
According to the data, the lowest estimated salary is about $68,275 per year. Pay levels are mainly influenced by market forces, supply and demand, and social structures.
There are various ways to increase the wage. Level of education: An employee may receive a higher salary and get a promotion if they obtain advanced degrees. Experience in management: an employee with supervisory experience can increase the likelihood to earn more.