Canada Data Salaries 2026

Data Analyst Salary in Canada

CAD salary ranges for data analysts in Toronto, Vancouver, and Montreal — sourced from Glassdoor Canada, Indeed Canada Salary Insights, and Statistics Canada 2025–26.

Salary by experience

Indicative annual ranges. Check current listings before you negotiate.

Experience Level

CTC Range

Note

Fresher (0–1 yr)

CAD 55,000 – 65,000

Entry analytics roles at mid-market companies and agencies; data coordinator or junior BI analyst titles

Junior (1–3 yrs)

CAD 65,000 – 85,000

Mid-market employers; SQL + Tableau or Power BI is the baseline expectation at this level

Mid (3–6 yrs)

CAD 85,000 – 110,000

Core analyst band at banks, retail, and tech companies; Python or R and stakeholder management expected

Senior (6–10 yrs)

CAD 110,000 – 145,000

Senior data analyst or analytics manager at large employers; some ML and data modelling scope

Lead / Manager (10+ yrs)

CAD 145,000 – 180,000

Analytics manager, director of analytics, or data science lead; people management scope typically required

Career Progression Path

Junior Data Analyst

→

Data Analyst

→

Senior Data Analyst

→

Analytics Manager

→

Director of Analytics

→

VP of Data / Chief Data Officer

Skills that pay more

Specialisations commanding a salary premium in 2026.

dbt (data build tool)

+CAD 10,000–18,000

Python for data (pandas, scikit-learn)

+CAD 8,000–15,000

Snowflake / BigQuery / Redshift

+CAD 8,000–14,000

Machine learning (basic modelling)

+CAD 12,000–22,000

Tableau / Power BI (advanced DAX or LOD)

+CAD 6,000–12,000

A/B testing and experimentation design

+CAD 8,000–14,000

Companies hiring

Indicative ranges; check each employer's current listings.

Company

CTC Range

Note

Royal Bank of Canada (RBC)

CAD 85,000 – 145,000

Large analytics team; structured career paths; strong benefits and RRSP contributions

Shopify

CAD 95,000 – 155,000

Data-driven culture; dbt and Looker stack; good equity component at mid and senior levels

TD Bank

CAD 80,000 – 140,000

Enterprise analytics; credit risk, marketing analytics, and fraud detection teams

Loblaws / Weston Group

CAD 75,000 – 125,000

Largest Canadian grocery/pharmacy; strong loyalty and customer analytics function (PC Optimum)

Telus

CAD 80,000 – 135,000

Vancouver-based telecom; health analytics (Telus Health) is a growing division

Data note: Ranges represent total CTC including fixed pay, variable, and stock grants where applicable. Service companies (TCS, Infosys, Wipro) typically offer the lower end; product companies and FAANG/MNCs offer the upper end.

Data analytics hiring in Canada in 2026

Canada's data analytics job market has expanded significantly as Canadian enterprises accelerated their data transformation investments post-pandemic. Financial services (banking, insurance), retail, telecommunications, and technology are the primary employers of data analysts. The largest concentrations are in Toronto (finance and tech) and Vancouver (tech and e-commerce).

For Indian analytics professionals, Canada offers a direct pathway through Express Entry under the Federal Skilled Worker stream — data analysts fall under NOC 21223 (information systems analysts) or NOC 21211 (data scientists, depending on scope). The analytics roles that map cleanly to NOC 21223 have good demand across multiple Provincial Nominee Programs as well.

Canadian employers in analytics prioritise SQL fluency, business communication, and one business intelligence tool (Tableau, Power BI, or Looker) at the junior-to-mid level, with Python or R and cloud data warehousing (Snowflake, BigQuery) becoming standard expectations at senior level.

Sources: Glassdoor Canada, Indeed Canada Salary Insights, LinkedIn Salary, Statistics Canada 2025–26.

Questions

Frequently asked questions

Salary and career questions answered

What is the average data analyst salary in Toronto in 2026?

Mid-level data analysts (3–6 years) in Toronto earn approximately CAD 88,000–110,000 base. Toronto pays 5–10% more than Vancouver for analytics roles due to the concentration of financial services employers who have large analytics teams.

What skills do Canadian employers prioritise for data analyst roles?

SQL is non-negotiable at all levels. Power BI or Tableau is expected for mid-level and above. Python is increasingly standard at mid and senior levels but not always required at junior levels. dbt and cloud data warehousing (Snowflake, BigQuery) are premium skills that significantly increase salary offers.

Which NOC code applies to data analysts for immigration?

Most data analyst roles fall under NOC 21211 (data scientists) or NOC 21223 (information systems analysts and consultants) depending on the scope of the role. If your work involves statistical modelling and predictive analytics, 21211 may be more appropriate. If it is primarily BI, reporting, and business decision support, 21223 typically fits better. Align your resume duty language to the NOC that most closely matches your actual work.

Do Canadian data analyst roles require domain expertise?

Domain expertise (fintech, healthcare, retail, telecom) is valued but not always required for hiring. Many employers are willing to hire strong technical analysts and train them on the domain. However, for senior and specialised roles — credit risk analytics at a bank, or clinical analytics at a healthcare company — prior domain experience is often a hard filter.

How competitive is the Canadian data analyst job market for immigrants?

The data analyst market in Canada is competitive at the junior level because it attracts both local graduates and internationally trained professionals. Senior and specialised roles (ML-adjacent, cloud-native data engineering, experimentation design) have more demand than supply. Differentiating with specific tools (dbt, Snowflake, Looker) and quantified project outcomes on your resume is important.

Is bilingualism (French/English) an advantage for data analysts in Canada?

For roles in Quebec and federal government, French-English bilingualism is a significant advantage and sometimes a requirement. For private sector analytics roles in Toronto and Vancouver, bilingualism is not required but is an asset for roles that involve stakeholder communication with French-speaking teams or clients.

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