Data Analyst

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
• Bachelor's 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 inspyrsolutions.com.


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, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.

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.