Data Analyst

System One is seeking a Data Analyst for a contract role in Pensacola, FL with a hybrid onsite/remote arrangement. This position emphasizes data quality, governance, and analytics to support business intelligence and data science initiatives, offering collaboration with senior staff and opportunities to influence key business outcomes.

Responsibilities

• Help shape technical requirements such as data definitions, business rules, and data quality standards; perform data UAT and investigations into accuracy, validation, and data integrity.
• Verify deliverable reporting by conducting quality data audits and analyses to ensure compliance with requirements.
• Source and assemble datasets using diverse tools to forecast, improve, and measure key business-to-business outcomes.
• Document data collection, cleaning, and governance procedures, maintaining comprehensive records to ensure transparency, repeatability, and governance compliance.
• Clean and structure raw data and generate descriptive statistics to support business intelligence and data science projects.
• Collaborate with senior staff to present findings and insights to stakeholders.
• Work with team members on projects and initiatives to advance analytic efforts.
• Conduct data research and develop data queries for smaller analytics projects.

Requirements

• 2-5 years of experience in data analysis and reporting.
• Basic understanding of the business and operating environment.
• Proficiency in data manipulation and scripting languages such as SQL, Python, or R, plus advanced data cleaning and preprocessing techniques and tools.
• Strong analytical techniques for data usage and data cleaning.
• Ability to interpret, extrapolate, and interpolate data for statistical research and modeling.
• Knowledge of various data structures and the ability to extract data sources using visualization tools such as PowerBI and Excel.
• Knowledge of data governance principles and practices.
• Bachelor's Degree in Statistics, Mathematics, Computer Science, Engineering, or degrees in similar quantitative fields.
• Technologies involved include SQL, Python, R, PowerBI, and Excel.