ಸ
Data Analyst
Pensacola, Florida, United States (Hybrid) · ಒಪ್ಪಂದ
ಅರ್ಜಿ ಸಲ್ಲಿಸುವವರಲ್ಲಿ ಮೊದಲಿಗರಾಗಿರಿ
- ಅನುಭವ
- 2–5 ವರ್ಷಗಳು
- ಸಂಬಳ
- —
- ತೆರೆಯುವಿಕೆಗಳು
- 1
- ಪೋಸ್ಟ್ ಮಾಡಲಾಗಿದೆ
- 3 ಗಂಟೆಗಳ ಹಿಂದೆ
- ಕೆಲಸದ ಮೋಡ್
- ಹೈಬ್ರಿಡ್
- ವಿದ್ಯಾಭ್ಯಾಸ
- ಪದವಿ
- ಅರ್ಹತೆ
- Candidates with a bachelor’s degree in a quantitative discipline such as Statistics, Mathematics, Computer Science, Engineering, or a similar field, and 2 to 5 years of relevant experience in data analysis and reporting.
- ಪುನರಾರಂಭ
- ಅರ್ಜಿ ಸಲ್ಲಿಸಲು ಕಡ್ಡಾಯ
ನೀವು ಎಲ್ಲಿ ಕೆಲಸ ಮಾಡುತ್ತೀರಿ
ಕೆಲಸದ ವಿವರ
Role overview
System One is hiring a Data Analyst for a contract assignment in Pensacola, FL. The position follows a hybrid setup with both onsite and remote work.
Core responsibilities
- Help shape technical requirements by defining data elements, business rules, and data quality standards, while also supporting user acceptance testing and research into data accuracy, validation, and integrity.
- Support required reporting by carrying out data quality audits and analytical checks.
- Gather and assemble datasets using different tools to help forecast, improve, and measure business-to-business performance outcomes.
- Record processes for collecting, cleansing, and governing data so that work remains transparent, repeatable, and aligned with governance expectations.
- Prepare raw data for analysis, organize it, and produce descriptive statistics for business intelligence and data science efforts.
- Work with senior colleagues to present findings and insights to internal stakeholders.
- Collaborate with teammates on projects and broader team initiatives.
- Perform data research and write queries for smaller analytics tasks.
Requirements
- 2 to 5 years of experience in data analysis and reporting.
- Working knowledge of the business environment and operating context.
- Ability to manipulate data and use scripting tools such as SQL, Python, or R, along with strong data cleaning and preprocessing techniques.
- Good analytical capability for handling and preparing data.
- Ability to interpret, extrapolate, and interpolate data for statistical research and modeling.
- Familiarity with data structures and the use of visualization tools such as Power BI and Excel to extract and present data.
- Understanding of data governance principles and practices.
- Bachelor’s degree in Statistics, Mathematics, Computer Science, Engineering, or another related quantitative field.
Additional information
Reference: #851-Rockville-S1.