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Data Analyst

Job in Pensacola, Escambia County, Florida, 32573, USA
Listing for: System One
Full Time position
Listed on 2026-07-09
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering, Data Scientist, Data Warehousing
Salary/Wage Range or Industry Benchmark: 65000 - 85000 USD Yearly USD 65000.00 85000.00 YEAR
Job Description & How to Apply Below

Job Title: Data Analyst

Location: Pensacola, FL

Type: Contract

Work Model: Hybrid – onsite and remote

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
Requirements
  • 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, Computer Science, Engineering, or similar quantitative fields
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