Example Job Description
Assessment Analyst
An analytical professional who transforms assessment evidence into accurate, reproducible, appropriately interpreted information for educators and district leaders.
Interview Planning Resource
Possible Interview Q&A: Assessment Analyst
How to use this resource: Select questions that measure competencies established through the district’s current job analysis. Ask candidates the same predetermined questions under comparable conditions and evaluate responses against the same job-related criteria.
The indicators below describe evidence a strong response may contain; they are not required scripts or the only acceptable answers.
- How would you turn a broad request to “show whether the program worked” into an analysis?
Strong response indicators: Clarifies decision purpose, theory of action, implementation, population, outcomes, comparison strategy, timeframe, confounders, data quality, feasibility, limitations, review, and what conclusions the design can and cannot support.
- Describe how you would validate a new assessment dataset.
Strong response indicators: Verifies source and version, schema, identifiers, uniqueness, populations, code sets, ranges, missingness, totals, prior-period patterns, matching, exceptions, test cases, peer review, and traceability.
- When should two years of assessment results not be compared directly?
Strong response indicators: Considers changes in test, scale, standards, administration mode, population, participation, grade or course, accommodations, timing, business rules, disruptions, and missingness; recommends a defensible alternative.
- A subgroup result changed sharply. How would you investigate?
Strong response indicators: Checks denominator, membership and effective dates, participation, suppression, matching, outliers, data revisions, administration conditions, measure definition, sampling variability, and related evidence before offering hypotheses.
- How would you explain statistical uncertainty to a school leader?
Strong response indicators: Uses plain language and relevant examples, distinguishes signal from noise, shows ranges or sensitivity where useful, avoids false precision, connects uncertainty to decision risk, and recommends multiple evidence sources.
- What makes an assessment dashboard trustworthy?
Strong response indicators: Clear purpose, governed definitions, authoritative sources, validated calculations, freshness, lineage, suppression, accessible design, appropriate comparisons, limitation notes, peer review, feedback, and monitored changes.
- How do you keep recurring analysis reproducible?
Strong response indicators: Uses stable extracts, documented parameters, versioned code and specifications, automated tests, logged runs, peer review, controlled releases, archived outputs, and a clear path from each figure to source and method.
- A leader requests identifiable student data when aggregate data may suffice. What do you do?
Strong response indicators: Clarifies purpose and authority, applies minimum necessary disclosure, offers aggregate or de-identified alternatives, uses approved access and transmission, consults the data owner or privacy lead, and documents the decision.
- How would you identify a misleading chart before publication?
Strong response indicators: Checks denominator, axis scale, truncation, units, ordering, color, student-group comparability, suppression, missing values, time periods, labels, accessibility, visual emphasis, and whether the display supports the stated claim.
- What review should a consequential analysis receive?
Strong response indicators: Requires specification review, independent logic or code review, data-quality reconciliation, reasonableness checks, subject-matter review, privacy and accessibility checks, documented approvals, and controlled correction procedures.
- How would you respond when analysis contradicts a popular narrative?
Strong response indicators: Rechecks data and method, invites peer and subject-matter review, states findings and uncertainty neutrally, separates evidence from interpretation, avoids defensiveness, documents decisions, and identifies additional evidence that could resolve ambiguity.
- What would you prioritize in your first 90 days?
Strong response indicators: Inventories data sources, recurring products, definitions, code, access and deadlines; reproduces key reports; reviews quality incidents; meets users and owners; delivers early validation improvements; and establishes a prioritized reproducibility plan.
Position Description
Under the direction of the appropriate district administrator, the Assessment Analyst performs technical and applied analysis of state, interim, benchmark, diagnostic, classroom, and other district-authorized assessment data.
The analyst develops documented datasets, measures, queries, visualizations, reports, and briefs that help schools and departments understand student learning evidence. The position validates populations and results, applies appropriate statistical methods, protects confidential information, and explains uncertainty and limitations.
The role partners with assessment, curriculum and instruction, research, accountability, multilingual learner, special education, student information, data warehouse, and technology personnel. It is distinguished from assessment-program coordination by its primary emphasis on measurement, analytical production, interpretation, and decision support.
Reports To
Insert your school district’s specific reporting relationship here.
Required Education and Credentials
Required
- Bachelor’s degree from an accredited college or university in education, educational measurement, statistics, research, data science, information systems, public administration, or a closely related field. Additional qualifying experience may be substituted where permitted by district policy.
- Successful completion of all district-required employment clearances.
- Completion of district-required student-privacy, assessment-security, accessibility, and information-security training within established timelines.
Preferred
- Graduate degree or advanced coursework in educational measurement, statistics, psychometrics, research methods, data science, program evaluation, or a related field.
- Professional learning in assessment literacy, statistical programming, data visualization, reproducible research, accessibility, or data governance.
- Training in SQL and one or more analytical tools such as R, Python, SAS, SPSS, or an equivalent environment.
Required / Desired Experience
Required Experience
- Three or more years of progressively responsible experience analyzing educational, assessment, research, program, or comparable administrative data.
- Experience preparing, cleaning, matching, validating, and analyzing record-level data from multiple sources.
- Experience applying descriptive statistics and producing reports or visualizations for technical and nontechnical audiences.
- Experience documenting definitions, analytical logic, quality checks, limitations, revisions, and source lineage.
- Experience handling confidential data and balancing concurrent requests and deadlines.
Desired Experience
- Experience analyzing CAASPP, ELPAC, interim assessment, local benchmark, universal screening, or progress-monitoring data.
- Experience with SQL, R, Python, statistical software, business-intelligence tools, data warehouses, or reproducible reporting systems.
- Experience with scale scores, achievement levels, claims or domains, growth measures, standard error, reliability, validity, and subgroup analysis.
- Experience supporting program evaluation, school improvement, instructional planning, or research-practice partnerships.
- Experience developing accessible dashboards, automated validation routines, data dictionaries, and technical documentation.
Essential Duties and Responsibilities
Data Preparation and Quality Assurance
- Acquire assessment and related student data through approved secure processes and verify source, version, schema, completeness, and authorized use.
- Develop analysis-ready files by applying documented inclusion rules, identity matching, code mappings, effective dates, and exception handling.
- Reconcile student counts, testing populations, demographic and program attributes, score fields, and aggregate totals with authoritative sources.
- Profile missingness, duplicates, outliers, invalid values, unexpected shifts, and cross-system discrepancies and coordinate root-cause correction.
- Maintain quality-control logs, peer-review evidence, issue histories, and traceability from source data to final products.
Assessment Measurement and Analysis
- Calculate and interpret participation, completion, achievement, scale-score, distance, growth, claim or domain, and other approved measures.
- Apply technically appropriate methods for longitudinal, cohort, matched-student, grade, course, school, program, and student-group analyses.
- Evaluate comparability, missing data, sample size, suppression, measurement error, changes in administration, and other limits affecting conclusions.
- Support evaluation of instructional programs, interventions, curriculum implementation, opportunity gaps, and improvement initiatives.
- Consult with requestors to convert broad questions into clear populations, measures, comparison strategies, deliverables, and decision uses.
Reporting, Visualization, and Communication
- Produce accurate dashboards, briefs, presentations, data files, school profiles, and recurring reports for authorized audiences.
- State definitions, denominators, sources, dates, refresh status, business rules, suppression, and limitations with each analytical product.
- Create accessible visualizations and plain-language explanations that preserve context and avoid misleading scales, rankings, or comparisons.
- Present findings to educators and leaders, respond to questions, and distinguish evidence from interpretation, hypothesis, and recommendation.
- Support assessment-literacy learning and responsible use of multiple measures for instruction, planning, and continuous improvement.
Reproducible Analytics, Governance, and Privacy
- Develop reusable queries, scripts, parameterized reports, test cases, and controlled automation with logging and human review.
- Use version control or comparable change-management practices for code, specifications, data definitions, and published outputs.
- Maintain measure dictionaries, analytical specifications, lineage diagrams, runbooks, release notes, and continuity documentation.
- Apply least-privilege access, minimum-necessary disclosure, secure storage and transfer, appropriate retention, and incident escalation.
- Coordinate peer review and approval for consequential analyses and perform other related duties consistent with the position’s purpose and classification.
Required Skills and Abilities
Knowledge of
- Educational measurement, assessment purposes, scale scores, performance levels, standard error, reliability, validity, growth, comparability, and appropriate-use limitations.
- Descriptive and inferential statistics, data preparation, longitudinal and subgroup analysis, suppression, missing data, and data visualization.
- Student information, assessment, data warehouse, relational database, reporting, and business-intelligence systems.
- SQL and analytical or statistical tools such as R, Python, SAS, SPSS, Power BI, Tableau, or comparable technologies.
- Student privacy, data governance, role-based access, secure data exchange, documentation, peer review, and reproducible analytical practice.
Ability to
- Translate decision questions into defensible analytical designs, measures, populations, and products.
- Trace discrepancies through source records, transformations, business rules, calculations, and reports.
- Write and test accurate queries or analytical code and critically review output for plausibility and bias.
- Explain complex methods and findings clearly while stating uncertainty, limitations, and appropriate next steps.
- Manage concurrent production cycles with careful versioning, documentation, confidentiality, and quality control.
- Collaborate with educators, analysts, program owners, technical staff, vendors, and leadership.
Work Environment
- Work is performed primarily in district offices, schools, meetings, training environments, and other computer-based professional settings.
- The position requires sustained computer use and precise review of record-level data, analytical code, spreadsheets, reports, and technical documentation.
- Work involves frequent collaboration with educators, administrators, assessment personnel, program staff, researchers, analysts, and technology teams.
- Workload may increase before score releases, reporting deadlines, board or leadership presentations, evaluation milestones, and major data refreshes.
- The employee may encounter ambiguous questions, confidential findings, competing priorities, urgent corrections, and requests requiring careful limitation.
- The position requires secure handling of personally identifiable student information.
Other Requirements
- Successfully complete required criminal-record, fingerprint, and employment clearances.
- Complete a tuberculosis risk assessment and any examination required by applicable law or district policy.
- Complete annual mandated-reporter training and fulfill all legally applicable reporting responsibilities.
- Complete required assessment-security agreements, administration training, and scoring or calibration activities applicable to assigned duties.
- Complete district-required cybersecurity, student-privacy, safety, nondiscrimination, and workplace training.
- Maintain professional confidentiality and comply with district policies governing student records, information security, acceptable technology use, and assessment security.
- Travel between district offices, schools, testing locations, meetings, and professional-development activities as assigned.
- Possess a valid California driver’s license and maintain insurability when driving is an essential function of the position.
- Occasionally work early-morning, evening, weekend, or extended hours during critical assessment, reporting, or public-release periods.
- Regularly sit, stand, walk, speak, hear, read, and operate computers and standard office equipment.
- Use hands and fingers for keyboarding and handling documents; maintain visual attention while reviewing detailed records and computer displays.
- Occasionally lift, carry, or move records, devices, equipment, or supplies weighing up to 25 pounds.
- Perform the essential functions of the position with or without reasonable accommodation.