Career listing · authored curriculum in review
Game Data Analyst
Save Game Data Analyst as an interest and organize future course, credential, and career research around it.
Current availability
The subject-specific curriculum is authored but not yet published for completion. Learners may inspect its scope and learning design now. Start, grading, and completion remain unavailable until every listed gate passes.
- qualified review approval is required
- reviewer identity, qualification, evidence, and approval date are required
What this course establishes
- Translate a game decision into a versioned telemetry contract with testable event and parameter definitions
- Clean event data and calculate auditable active-user, retention, funnel, play-time, crash, and revenue metrics with explicit denominators
- Evaluate an experiment with uncertainty, guardrails, segmentation limits, privacy risk, and an evidence-bounded recommendation
Entry knowledge
- Spreadsheet formulas or introductory SQL
- Fractions, percentages, averages, and medians
- Basic understanding of game sessions, levels, tutorials, and releases
Scope boundaries
- Uses only fictional de-identified training data; does not authorize production access, re-identification, tracking without legal basis/consent, profiling children, dark patterns, unreviewed monetization changes, or automated player targeting
- Does not replace privacy/security/legal review, data engineering, causal-inference expertise, accessibility research with disabled players, gambling/compliance review, or studio decision authority
Fastest competency route
No fastest-hour or job-readiness guarantee; prior tool experience accelerates completion only when the learner demonstrates reproducible definitions, calculations, validation, causal restraint, player-safety reasoning, and revision.
- Pass diagnostics for event contracts, metric denominators, cohorts, funnels, duplicates, missingness, experiments, guardrails, and privacy
- Complete the supplied synthetic telemetry analysis and decision memo
- Correct every schema, calculation, causal, accessibility, privacy, and recommendation defect before final assessment
Full self-paced route
- Decision questions and telemetry contracts
- Data quality, metrics, cohorts, and funnels
- Experiments, uncertainty, player impact, and privacy
- Reproducible analysis portfolio and final assessment
Lesson and assessment map
From game decision to telemetry contract
Design a minimal, versioned event contract that can answer a named game decision without collecting unnecessary player data.
4 questions: recall, application, judgment, and error correction.
Data quality, game metrics, cohorts, and funnels
Validate synthetic event data and calculate auditable engagement, retention, progression, reliability, and revenue measures.
4 questions: recall, application, judgment, and error correction.
Experiments, player impact, and responsible decisions
Evaluate a bounded game experiment without causal overstatement, metric gaming, privacy harm, or inaccessible communication.
4 questions: recall, application, judgment, and error correction.
Required applied assignment
Game telemetry and player-impact decision portfolio
Design a telemetry contract, audit the supplied synthetic event data, calculate reproducible game metrics, evaluate a bounded experiment, and deliver an accessible player-impact decision memo. Use no real player data or production systems.
- Decision brief, metric tree, event/parameter contract, consent and retention rules, and instrumentation test plan
- Downloaded dataset checksum or immutable copy, data dictionary, cleaning log, duplicate/missingness/consent report, and reproducible queries/formulas
- DAU, retention, funnel, crash, play-time, payer, and experiment tables with explicit numerators and denominators
- Accessible charts with data tables, labels, alt text, and color-independent encoding
- Experiment pre-registration with unit, assignment, power rationale, outcomes, guardrails, segments, stopping rule, and privacy review
- Decision memo stating result, uncertainty, player impact, alternatives, limitations, owner, rollback/monitoring plan, and substantive revision
Passing standard: 85 of 100 points, with substantive revision required.
Continue after this course
- SQL window functions, warehouses, semantic layers, orchestration, version control, and data contracts
- Probability, sampling, confidence intervals, power, sequential testing, variance reduction, and causal inference
- Game economy, live operations, forecasting, churn/survival analysis, anomaly detection, and responsible personalization
- Privacy engineering, accessibility analytics, qualitative research, and product strategy