Summary: Quality Analytics Associates (QAA) is accepting resumes for individual(s) to support the efforts by analyzing various data evidence to identify meaningful patterns, trends, trajectories, and emerging changes associated with objectives. The analyst will work with stakeholders and SMEs to define relevant performance constructs, evidence sources, outcomes, baselines, and evaluation criteria and will support longitudinal analysis of individual and/or team performance where authorized and appropriate.
Dependent on contract award.
Salary: $70,000 – $80,000 (negotiable)
Responsibilities
- Analyze multi-source workforce and human-performance evidence.
- Support definition of mission-readiness and success conditions.
- Assess data quality, completeness, availability, etc.
- Normalize, structure, align, and analyze evidence to support analysis.
- Develop and evaluate individual and/or team.
- Identify trends, relationships, changes, anomalies, and emerging signals.
- Conduct analyses supporting questions.
- Support development of analytical features and measures for models.
- Assist with interpretation and lead time.
- Translate quantitative findings into human-performance and context for stakeholders and SMEs.
- Support structured human-in-the-loop evaluations.
- Document.
- Collaborate with the Data Scientist/ML Lead and Data/Systems Engineer.
Required Qualifications
- Bachelor’s degree in data analytics, statistics, industrial/organizational psychology, human factors, workforce analytics, operations research, behavioral/social science, education research, or a related quantitative discipline. OR Equivalent years’ experience
- Demonstrated experience analyzing workforce, human-performance, training, assessment, organizational, or other longitudinal data.
- Experience conducting quantitative data analysis and interpreting results for nontechnical stakeholders.
- Experience with data preparation, quality assessment, statistical analysis, visualization, and interpretation.
- Working knowledge of statistical analysis tools and/or analytical programming environments such as Python, R, SQL, SAS, SPSS, or comparable technologies.
- Ability to translate operational or human-performance questions into measurable variables and analytical approaches.
- Strong technical writing and communication skills,
Preferred Qualifications
- Master’s degree in a relevant quantitative, behavioral, human-performance, analytics, or research discipline.
- Experience supporting workforce, training, readiness, or human-performance programs.
- Experience with longitudinal analysis, workforce analytics, learning analytics, performance measurement, or predictive analytics.
- Familiarity with AI/ML-enabled analytics and model evaluation.
- Experience working directly with SMEs and stakeholders to interpret analytical findings.
- Familiarity with responsible AI, explainability, uncertainty characterization, and human-in-the-loop evaluation.
Equal Opportunity Employer: QAA will consider all qualified applicants’ employment without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other characteristic protected by law.