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Statistical Analysis Data Reconfiguration Jobs (NOW HIRING)

By means of data visualization, statistical analysis, and reporting, you will directly engage several departments to understand their data needs and provide insightful analysis. For someone who ...

... or Statistical Analysis, Data Engineering and Data Visualization related work * Associate's and/or Bachelor's Degree * Well versed in knowledge of creating algorithms, identifying patterns and ...

Senior Statistician

$89K - $109K/yr

Perform Statistical Analysis in support of Phase I-V clinical trials, ISS, ISE, Registries, Publications or other related regulatory submissions * Design data acquisition trials, assessing results ...

Working knowledge of data and statistical analysis (eg. Cohorted analysis, Campaign Analysis, A/B tests ) * Experience with data visualization tools like Tableau (hands-on experience) * Ability to ...

Prior experience with statistical analysis, data mining and analysis to report trends, patterns and forecasting is preferred * Experience working with data visualization tools such as Power BI or ...

Statistical Analysis: Proficiency in statistical methods and techniques. * SQL: Knowledge of Structured Query Language for database management. * Data Visualization Tools: Experience with tools like ...

$21.78 - $30.53/hr

Supports the development of methods for data collection, analysis, and reporting for assigned area. Analyzes and interprets data using statistical techniques. Assists with the creation of ...

Senior Data Analyst

Bentonville, AR · On-site

$94K - $155K/yr

Exploratory Data Analysis: Collects/tabulates data and evaluates results to determine accuracy, validity, and applicability; supports identification and application of statistical techniques; applies ...

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Statistical Analysis Data Reconfiguration information

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$30K

$70.5K

$117.5K

How much do statistical analysis data reconfiguration jobs pay per year?

As of Aug 1, 2026, the average yearly pay for statistical analysis data reconfiguration in the United States is $70,450.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,500.00 and $81,000.00 per year, depending on experience, location, and employer.

What is the difference between Statistical Analysis Data Reconfiguration vs Data Analyst?

AspectStatistical Analysis Data ReconfigurationData Analyst
Primary FocusRearranging and transforming data sets for analysis readinessInterpreting data to generate reports and insights
Skills & CertificationsStatistical software, data manipulation, certifications like CAP or SASData visualization, SQL, Excel, often with a bachelor's degree in related fields
Work EnvironmentData processing teams, research labs, analytics departmentsBusiness units, marketing, finance, or operations teams

While both roles involve working with data, Statistical Analysis Data Reconfiguration specializes in preparing and transforming data for analysis, whereas Data Analysts focus on interpreting data to produce reports and insights. Understanding these differences helps organizations assign the right skills to each role.

Can I make 6 figures as a data analyst?

Statistical Analysis Data Reconfiguration roles can offer six-figure salaries, especially with experience, advanced skills in programming languages like Python or R, and proficiency with data visualization tools. Salaries vary by industry, location, and level of expertise, but high-level data analysts with specialized skills can reach or exceed six figures.

Is 40 too late for data science?

The role of a Statistical Analysis Data Reconfiguration specialist typically requires strong analytical skills and experience with data tools. Age is generally not a barrier if you have relevant skills, certifications, and a solid understanding of data analysis, programming languages like Python or R, and statistical methods. Many professionals successfully transition into data science later in their careers by building their technical expertise and portfolio.

Is statistical analysis and data reconfiguration a real job?

Yes, statistical analysis and data reconfiguration are real job functions often performed by data analysts, statisticians, or data engineers. These roles involve analyzing data sets, restructuring data for better usability, and using tools like SQL, Python, or R to support decision-making processes.

How much does statistical analysis and data reconfiguration pay?

Salaries for roles involving statistical analysis and data reconfiguration typically range from $60,000 to $100,000 annually, depending on experience, education, and industry. Professionals often use tools like R, Python, or SQL, and certifications such as SAS or data analysis degrees can influence compensation.
More about Statistical Analysis Data Reconfiguration jobs
What cities are hiring for Statistical Analysis Data Reconfiguration jobs? Cities with the most Statistical Analysis Data Reconfiguration job openings:
What states have the most Statistical Analysis Data Reconfiguration jobs? States with the most job openings for Statistical Analysis Data Reconfiguration jobs include:
What job categories do people searching Statistical Analysis Data Reconfiguration jobs look for? The top searched job categories for Statistical Analysis Data Reconfiguration jobs are:
Infographic showing various Statistical Analysis Data Reconfiguration job openings in the United States as of July 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $70,450 per year, or $33.9 per hour.

Statistical Analysis Support Services

Ocean Associates

Seattle, WA • On-site

$45 - $60/hr

Full-time

Posted 9 days ago


Job description

Note: We are seeking applicants for this position prospectively, which is dependent on award of contract

If you are unable to complete this application due to a disability, contact Ocean Associates at 703-388-9548 to ask for an accommodation or an alternative application process.

Ocean Associates Inc. (OAI) is seeking an applicant to provide statistical Analysis support services to the National Oceanic and Atmospheric Administration (NOAA) Fisheries, Northwest Fisheries Science Center (NWFSC), Fish Ecology Division (FE) in Seattle, WA. OAI is a Virginia corporation established in 2003 that provides consulting and technical services to the U.S. government, non-governmental organizations, international organizations, and the private sector. We specialize in scientific program and project management, strategic planning, professional and technical services, and stakeholder engagement, supporting government contracts.

Background

The Fish Ecology Division at the Northwest Fisheries Science Center (NWFSC) conducts scientific research on marine and anadromous species in the Pacific Northwest and California to support management of these species as mandated by the authorizing mechanisms outlined above. Some stocks are managed under the MSA to produce abundant harvest opportunities for commercial and recreational fishermen and to meet tribal treaty obligations, while others are in decline and protected by the ESA. The NWFSC also researches ways to improve aquaculture and increase seafood safety. Holistic understanding of all factors controlling the abundance and health of fisheries and aquaculture often requires an ecosystem approach, working to understand how managed natural resources are affected by their prey, competitors, predators, habitats, and humans. This position will support NWFSC staff and interdisciplinary teams of scientists, natural resource managers, and tribal representatives to conduct ecological research on species that NOAA is mandated to manage.

The NWFSC is a leader in quantitative analyses supporting fisheries management for marine and anadromous species. It produces increasingly large datasets as quantitative research techniques become more complex. Researchers examine complex relationships between managed stocks and their environments that involve highly technical statistical approaches that continue to rapidly evolve. The Center collaborates with regional partners to manage data and provide public access to empirical and modeled data products. There is a strong need for continued improvement in both the ability to conduct advanced quantitative analyses and to adeptly manage and share resulting research products. Modern fisheries management faces a growing data-capacity gap: data volume is surging while managers have less time to interpret complex research.


Tasks

Key tasks include the following:

  • Provide statistical analysis to inform management decisions.
  • Statistically analyze spatial and temporal variability in processes experienced by migrating salmon in the river systems, especially to understand survival and migration patterns through hydropower systems and through their life cycles.
  • Analyze and generate relationships between fish responses (e.g. density, growth, survival, migration rate) and stressors (e.g. environmental or ecological conditions, habitat metrics, management actions, etc.) in particular life stages.
  • Develop novel probabilistic mathematical and simulation models that seek to represent unique and complex ecological and behavioral processes with modern statistical methods.
  • Provide statistical support for other researchers during study design and analysis.
  • Organize and curate ecological datasets relevant to mark-recapture modeling needs.
  • Document and share reproducible research workflows and analytical protocols to ensure scientific transparency and peer collaboration.
  • Publish reports and scientific papers, and present results at regional and national meetings and scientific conferences, as needed.
  • Assist with field collection of fish and environmental data in freshwater, estuarine, and nearshore marine environments of the West Coast region, as needed. This may involve riding in vehicles and/or boats.



Start Date: Contingent upon award of contract.

Location: Northwest Fisheries Science Center, Seattle, WA, or at one of its associated field stations in WA or OR.

Travel: Travel is anticipated. A valid driver’s license must be maintained.

Salary and Benefits: This is a full-time position with benefits. Salary, commensurate with experience, between $45.00 - $60.00+ per hour.

Requirements

Applicants must have the following minimum requirements:

  • PhD degree from an accredited college or university with a major in a field of study related to the requirements of the task order with emphasis in statistics, mathematics, fisheries, ecology, or the natural sciences is required. Must have a strong quantitative background with a solid foundation and extensive coursework in statistics and probability. Knowledge and experience in Bayesian statistics and mark-recapture methods is strongly preferred.
  • Ten (10) or more years of experience related to the task order, including familiarity with the species and habitats managed by NOAA Fisheries in the West Coast region. An Advanced Degree in a related field may be substituted for two (MS) or four (PhD) years of experience.
  • Excellent verbal and written communication, and experience writing reports and publishing peer-reviewed articles.
  • Strong quantitative skills including extensive experience in statistical modeling and data analysis. Extensive experience conducting analyses and coding in R, experience with programs Stan and JAGS, and experience with open science concepts. Strong computational skills, including the ability to manipulate large environmental datasets within a command-line environment (e.g., Linux/shell scripting) to support statistical workflows. Familiarity interpreting or interfacing with C or C++ code within a scientific modeling context. Familiarity with common software including Google Suite and Microsoft Office.
  • Ability to manage workload, stay organized, and produce high-quality work products efficiently. Ability to work both independently and on interdisciplinary teams.


If you are interested in being considered for this position, please APPLY THROUGH OUR ADP WEB PORTAL, AT THE LINK AT THE TOP RIGHT OF THIS PAGE.

Only qualified applicants that meet minimum experience or background requirements stated above need apply. When applying for this position you will be asked to upload your resume at the end of this online application.

Applicants should submit a resume that includes the following:

  • Cover letter that briefly describes how you meet the required and preferred qualifications listed.
  • Work history for past 10 years or since last full-time education.
  • Education.
  • Previous experience or training with similar requirements.
  • Three professional references.
  • Include your name in the document file name.
  • Upload your resume in readable, not scanned, PDF or Word format (PDF is preferred).


In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States, complete the required employment eligibility verification document form upon hire, and successfully complete a federal government background check. OAI does not discriminate on the basis of any status or condition protected by applicable federal or state law.

OAI is a government contractor and is required by law to invite applicants to voluntarily self-identify their disability status and veteran status. OAI's online application includes check boxes to either voluntarily self identify or decline to self identify. While the information is collected through your application, it is collected anonymously and is not connected to your application. OAI uses the information it collects to track its disability and veteran hiring progress, and to meet its obligations under Section 503 of the Rehabilitation Act and under VEVRAA.

Note: If you are not selected, your materials may be retained for present or future opportunities. We may use your resume in bidding on a project and if we are awarded the work, we will contact you before seeking further applicants. If you do not wish us to retain or use your resume to seek work for you, please let us know in the "Notes" section on the second page of the online application.