Technical tools
mentions · N=29Power BI and SQL are tied as the clearest cross-role foundation. Advanced Excel and Power Query sit alongside them—not beneath them—as practical business-analysis tools.
A 29-role snapshot centered on business intelligence, reporting, insights, and data analysis—the roles a fourth-year business student could pursue now or work toward.
three same-day collection passes, read in full
retained analytics-first roles from the earlier sample
retained data business analyst role
Counts use only the 29 named core BI and analytics postings. One role can contribute to several categories; nice-to-have tools are retained where the posting named them.
Power BI and SQL are tied as the clearest cross-role foundation. Advanced Excel and Power Query sit alongside them—not beneath them—as practical business-analysis tools.
The profile is descriptive and decision-oriented: reporting, KPI design, trend analysis, data quality, segmentation, forecasting, and business interpretation dominate.
Role families are mutually exclusive: 14 data/business-data analyst roles, nine BI/reporting/platform roles, and six insights, marketing, pricing, or decision-support roles.
Named in 23 roles, usually for dashboards, semantic models, KPI reporting, or self-service analytics. DAX appears in five.
Named in 23 roles—from intermediate querying and validation through complex relational work, warehousing, and semantic layers.
Named in 13 roles. Pivots, formulas, modelling, scenario work, and Power Query remain central in finance, pricing, operations, and reporting.
This is a work-into market, not an entry-level-only market. The strongest course design prepares students for a first analytics-adjacent role while giving them the stack to reach the broader 2–5+ year segment.
postings offer the clearest early-career on-ramps: no stated minimum, 1–3 years, 2–3 years, or an explicit intermediate track.
Seventeen postings explicitly ask for at least three years. Across the sample, 2–5+ years is the typical band; senior BI leads and reporting specialists extend higher.
Canadian Cancer Society (no minimum), Gescan (1–3 yrs), QuadReal (2–3), UBC (2+), Specsavers (2+), and Best Buy’s intermediate track (2+).
A business, commerce, analytics, information-systems, finance, economics, engineering, or other quantitative degree is the common baseline.
MSP requires two Microsoft Fabric credentials; Colliers lists certifications as desired; CC&L mentions a designation in progress. Most ads do not name one.
Projects, co-op, internships, and analytics-heavy first roles matter because most postings are attainable after an initial step—not directly from the classroom.
A portfolio should show a clean model, SQL logic, Power Query steps, DAX measures, a decision-ready dashboard, and a short executive explanation.
The sample concentrates on roles that a business graduate could target, or realistically grow into, across marketing, finance, operations, healthcare, professional services, real estate, retail, education, and public service.
Six did not state pay: Ziff Davis, Cascade Aerospace, Autodesk, Gescan, Vancouver Coastal Health, and Robert Half.
All 29 named rows are in the downloadable CSV. The 25 LinkedIn roles were collected in three passes on September 22, 2026; four earlier analytics-first postings were retained from Indeed and Workopolis. Exact public URLs are shown only where they were retained—none are reconstructed.
Twenty-three of 29 roles disclose employer-provided pay. The broad span reflects junior-to-lead seniority, different employment structures, and domain differences—not a single market rate.
No third-party estimates were added. FortisBC and UBC are shown as posted, with transparent annualized approximations.
All values are CAD and preserve employer qualifiers. FortisBC’s $3,478 bi-weekly is about $90,428 over 26 pay periods. UBC’s annualized figure is an arithmetic conversion of the posted monthly range. The two Specsavers postings are distinct.
Six practical emphases for fourth-year business students preparing for business analytics and business intelligence work.
Power BI, SQL, and advanced Excel/Power Query are the strongest shared foundation. Teach them as one workflow: source, clean, model, calculate, visualize, and explain.
DAX, semantic models, star schemas, row-level security, and data quality separate dashboard users from analysts who can build trusted decision systems.
Trend analysis, segmentation, KPI definition, benchmarking, variance analysis, and scenario work recur more often than advanced modelling in the core sample.
Use marketing, finance, operations, pricing, healthcare, real estate, and customer-insights cases so students learn to translate tools into domain judgment.
Require a short executive readout with every dashboard: what changed, why it matters, what action follows, and what uncertainty remains.
Tableau is a meaningful secondary visualization tool; Python/R appears in 14 roles, often as a complement. Neither should displace the Power BI–SQL–Excel core.
These 13 roles sit beyond the 29-role named core. They are useful as a technical-track horizon—often calling for graduate study, deep modelling, engineering, or extensive experience—not as immediate business-undergraduate targets.
Stretch roles are context only. None contributes to the skills, methods, education, experience, salary, or role-family tallies above, and none appears in the downloadable core CSV.
The supplied roster names 29 distinct core postings: 25 from LinkedIn, three retained Indeed analytics roles, and one Workopolis data-business-analyst role. Although the brief labels this a 30-role sample, no unlisted 30th posting is added or inferred.
Download the 29-row named core dataset, including salary, source, role family, and coded skill signals.