Data Analyst

Data AnalystData AnalystFull TimeRemote

Location

United States

Posted

9 days ago

Salary

Not specified

No structured requirement data.

Job Description

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

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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