Data Analyst
Location
United States
Posted
9 days ago
Salary
Not specified
No structured requirement data.
Job Description
Role Description
cFocus Software seeks a Data Analyst to join our program supporting the Executive Office of the President (EOP). This position is remote and requires a TS/SCI clearance.
- Provide detailed reports showing similarities in data points (e.g., high rate of failure for emails sent from given address; inability to perform comparisons on specific file types; etc.)
- Identification of source of error (e.g., issue related to defects in verification code; issues related to deficiencies in OBS ingestion code; etc.)
- Interprets data sets to provide insights that influence strategic decisions.
- Collect and process data, perform statistical analyses, and report findings in clear, comprehensible formats.
- Tasks include defining data requirements, data cleansing, creating data models, and using data visualization tools.
Qualifications
- Bachelor’s degree in Data Analytics, Information Systems, Computer Science, Statistics, or related technical field.
- Minimum of 3–5 years of experience performing data analysis in a regulated or enterprise IT environment.
- Experience analyzing structured and semi-structured datasets.
- Strong analytical, problem-solving, and critical thinking skills.
- Experience producing written analytical reports for technical and executive audiences.
- Familiarity with data validation, reconciliation, and quality assurance concepts.
- Ability to work effectively in Agile or hybrid Agile environments.
Job Requirements
- Bachelor’s degree in Data Analytics, Information Systems, Computer Science, Statistics, or related technical field.
- Minimum of 3–5 years of experience performing data analysis in a regulated or enterprise IT environment.
- Experience analyzing structured and semi-structured datasets.
- Strong analytical, problem-solving, and critical thinking skills.
- Experience producing written analytical reports for technical and executive audiences.
- Familiarity with data validation, reconciliation, and quality assurance concepts.
- Ability to work effectively in Agile or hybrid Agile environments.
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