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Data Analyst

INSPYR Solutions

Job Location:

Pensacola, FL - USA

Monthly Salary: Not provided by the employer

Posted: 8 September 2026 (7 hours ago)

Application Deadline: 6 December 2026

Vacancies: 1 Vacancy

Job Summary

Title: Data Analyst
Location:Open to hybrid in Pensacola FL Winchester VA or Vienna VA.
Duration: Initial 6 months plus extensions
Work Requirements: USC GC or Authorized to work in the US

Description

Partner with business stakeholders and other analysts to understand business data needs capture data requirements and perform data collection processing and cleaning. Provide inputs for data science and business intelligence projects and perform analysis on large data sets to support departmental and organizational objectives. Solve a range of mostly straightforward problems with some increased scope and complexity.

Responsibilities

Contribute to the development of technical requirements including data definitions business rules and data quality requirements; conduct data UAT and data accuracy validation integrity research
Ensure compliance with deliverable reporting requirements by performing quality data audits and analysis
Identify and compile data sets using a variety of tools to help predict improve and measure the success of key business-to-business outcomes
Document data collection cleaning and governance procedures maintaining comprehensive documentation to ensure transparency repeatability and compliance with data governance standards
Clean and organize raw data and generate descriptive statistics in support of business intelligence and data science projects
Partner with senior staff to communicate findings and insight to stakeholders
Collaborate with team members and participate in team projects and initiatives
Provide data research and write data queries for smaller analytics projects

Qualifications

Required Qualifications

2-5 years of experience in data analysis and reporting
Basic understanding of business and operating environment
Skill in data manipulation and scripting languages such as SQL Python or R as well as advanced data cleaning and preprocessing techniques and tools
Effective skill with analytical techniques required for data usage and data cleaning
Skill interpreting extrapolating and interpolating data for statistical research and modeling
Knowledge of various data structures and ability to extract data sources using various visualization tools (e.g. PowerBI Excel)
Knowledge of data governance principles and practices
Bachelors Degree in Statistics Mathematics Computers Science Engineering or degrees in similar quantitative fields

About INSPYR Solutions:
Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions we strategically align industry and technical expertise with our clients business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services project and talent solutions. By always striving for excellence and focusing on the human aspect of our business we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at .

INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race color religion sex national origin age disability genetics or any other protected status. INSPYR Solutions complies with all applicable laws governing nondiscrimination in employment in every location in which the company has facilities. Applicants requiring reasonable accommodation during the application or interview process should contact for assistance.

Information collected and processed through your application with INSPYR Solutions (including any job applications you choose to submit) is subject to INSPYR Solutions Privacy Policy and INSPYR Solutions AI and Automated Employment Decision Tool Policy: By submitting an application you are consenting to being contacted by INSPYR Solutions through phone email or text.

Required Experience:

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