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Business Intelligence Analyst
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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.
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What this course establishes
- Translate a stakeholder decision into governed requirements, dimensions, measures, acceptance tests, and a traceable KPI definition
- Transform and model a consistent-grain fact table with conformed dimensions, explicit relationships, reproducible measures, and source reconciliation
- Deliver an accessible, secured, refresh-aware dashboard and decision memo with tested limitations, ownership, and change control
Entry knowledge
- Spreadsheet formulas or introductory SQL
- Percentages, ratios, averages, and basic business arithmetic
- Basic familiarity with tables, keys, filters, and charts
Scope boundaries
- Uses fictional data only and does not authorize production access, financial reporting, external publication, unrestricted personal-data use, or bypassing source-system and semantic-model controls
- Does not replace accounting, privacy, cybersecurity, accessibility, database administration, legal, industry, or organizational decision authority
Fastest competency route
Competency evidence determines completion; there is no promised hour count, vendor certification, job placement, or production authorization. Prior BI experience shortens the route only when every required artifact and correction is demonstrated.
- Pass diagnostics for grain, joins, KPI contracts, filter context, reconciliation, refresh, security, and accessibility
- Complete the supplied synthetic retail model and governed executive dashboard portfolio
- Correct every duplicate, missing-key, zero-unit, relationship, calculation, permission, accessibility, and interpretation defect before final assessment
Full self-paced route
- Decision requirements and governed KPI contracts
- Dimensional modeling, transformation, and reproducible measures
- Dashboard delivery, refresh, security, accessibility, and operational ownership
- Portfolio assignment and final assessment
Lesson and assessment map
From business decision to governed KPI contract
Convert a decision request into testable analytical requirements and unambiguous KPI definitions before building visuals.
4 questions: recall, application, judgment, and error correction.
Dimensional modeling, transformation, and measures
Build a consistent-grain analytical model and prove that measures remain correct under filters and totals.
4 questions: recall, application, judgment, and error correction.
Accessible dashboards, refresh operations, and security
Release a decision-ready BI product with accessible communication, monitored freshness, tested permissions, and governed change control.
4 questions: recall, application, judgment, and error correction.
Required applied assignment
Governed retail BI model and decision dashboard
Using only the supplied synthetic retail data, produce a traceable BI product from decision requirements through data-quality triage, dimensional model, measures, accessible dashboard, security tests, refresh runbook, and decision memo. Do not claim vendor certification, production readiness, or real business results.
- Decision brief, stakeholder/owner matrix, KPI catalog, acceptance tests, and source-to-visual lineage
- Immutable dataset copy or checksum, data dictionary, profiling report, exception register, cleaning log, and raw-to-report reconciliation
- Dimensional model with declared grain, keys, relationships, Unknown-member policy, and reproducible transformations
- Tested measures for net sales, units, orders, average order value, cost, gross margin, margin rate, returns, and freshness
- Accessible dashboard with labeled filters, data tables, alt text, color-independent encoding, keyboard order, responsive/zoom evidence, and explicit data-through state
- Permission/RLS matrix and test log, refresh/failure runbook, change log, limitations, decision memo, peer feedback, and substantive revision
Passing standard: 85 of 100 points, with substantive revision required.
Continue after this course
- SQL joins, window functions, query plans, warehouses, lakehouses, orchestration, data contracts, and version control
- Dimensional modeling, slowly changing dimensions, calculation groups, DAX evaluation context, and semantic-layer testing
- Statistics, forecasting, experimentation, data governance, privacy engineering, and accessible data visualization
- Vendor certification objectives only after checking the current official exam guide; this internal course is not a vendor credential