Australia Data Salaries 2026

Data Analyst Salary in Australia

AUD salary ranges for data analysts in Sydney, Melbourne, and Brisbane — sourced from the SEEK Salary Guide 2025–26, Glassdoor Australia, and LinkedIn Salary Insights Australia.

Data Analyst Salary in Australia 2026 Salary by Experience: India 2026

All figures are approximate annual CTC. Metro premium (Bengaluru, Mumbai, Delhi NCR) adds 15–30% above ranges shown.

Experience Level

CTC Range

Note

Fresher (0–1 yr)

AUD 60,000 – 70,000

Graduate analytics roles at banks, retailers, and government agencies; strong demand in public sector

Junior (1–3 yrs)

AUD 70,000 – 90,000

Growing role in Australian enterprises post-data transformation; SQL and Tableau baseline

Mid (3–6 yrs)

AUD 90,000 – 115,000

Core analyst band at large banks, telcos, and tech companies; superannuation adds 11.5%

Senior (6–10 yrs)

AUD 115,000 – 150,000

Senior data analyst or analytics manager at ASX-listed companies and government

Lead / Manager (10+ yrs)

AUD 150,000 – 190,000

Head of analytics or director-level; people management and strategy scope expected

Career Progression Path

Graduate Data Analyst

Data Analyst

Senior Data Analyst

Analytics Manager

Head of Analytics / Director

Chief Data Officer

City-Wise Salary Premium

Applied on top of the CTC ranges above.

Bengaluru

India's tech capital, highest overall IT pay

+20–30%

Mumbai

Finance + tech hub

+15–25%

Delhi NCR

Gurgaon / Noida corridors

+15–20%

Hyderabad

HITEC City: strong product-company presence

+15–20%

Pune

IT clusters in Hinjawadi & Magarpatta

+10–15%

Chennai

Automotive + IT services mix

+8–12%

Kolkata / Ahmedabad

Closer to national averages

0–5%

Skills That Pay More

Specialisations commanding a salary premium in 2026.

dbt (data build tool)

+AUD 10,000–18,000

Snowflake / BigQuery

+AUD 8,000–15,000

Python (pandas, scikit-learn)

+AUD 10,000–18,000

Tableau / Power BI (advanced)

+AUD 6,000–12,000

SQL performance optimisation

+AUD 5,000–10,000

Machine learning (applied modelling)

+AUD 15,000–25,000

Top Companies Hiring Data Analyst Salary in Australia 2026s in India

CTC ranges sourced from AmbitionBox, Naukri, and Levels.fyi — FY 2025–26.

Company

CTC Range

Note

Commonwealth Bank (CBA)

AUD 95,000 – 155,000

Largest Australian bank; strong analytics investment in customer data, risk, and marketing

Telstra

AUD 90,000 – 148,000

Australia's largest telecom; extensive customer analytics and network data teams in Melbourne

Canva

AUD 105,000 – 165,000

Data-driven product analytics team in Sydney; strong tools stack (Looker, dbt, BigQuery)

Woolworths Group

AUD 88,000 – 140,000

Everyday Rewards loyalty analytics and supply chain data are major data functions

ANZ Bank

AUD 90,000 – 150,000

Melbourne-headquartered; strong financial analytics and regulatory reporting function

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 in the Australian job market

Australia's data analytics hiring market has grown significantly through 2024–26, driven by enterprise cloud migrations, regulatory reporting requirements (particularly in financial services), and digital transformation investments in retail and healthcare. The dominant employers are the four major banks (CBA, NAB, ANZ, Westpac), the two supermarket giants (Woolworths, Coles), the major telcos (Telstra, Optus), and a growing cohort of tech-led companies (Canva, Atlassian, REA Group, SEEK).

Data analysts in Australia fall under ANZSCO 224111 (Management Consultant) or more commonly 261313 / 262111 depending on the specific role type. For ACS skills assessment purposes, IT-focused data analytics roles may qualify under ICT categories. VETASSESS assesses non-ICT analytics roles. If you are targeting skilled migration alongside data analytics employment, clarify your ANZSCO code with a migration agent before applying for the assessment.

Australian employers typically expect SQL, at least one BI tool (Tableau or Power BI), and good communication skills at all levels. Python is increasingly expected for mid and senior roles. The Australian market is less saturated with data professionals than North America, so mid-level analysts with 3–6 years of strong technical experience find good traction.

Sources: SEEK Salary Guide 2025–26, Glassdoor Australia, LinkedIn Salary Insights Australia.

Frequently Asked Questions

Data Analyst Salary in Australia 2026 salary, hike, and career questions answered

Mid-level data analysts in Sydney typically earn AUD 93,000–115,000, compared to AUD 88,000–110,000 in Melbourne. The difference reflects Sydney's concentration of large financial services employers who pay at the higher end of the market. Melbourne salaries are competitive for tech company roles (especially Canva, SEEK, and Telstra which have major Melbourne presences).

Both are widely used. Power BI is dominant in enterprise and government settings (Microsoft stack). Tableau is more common at tech-led companies and in marketing analytics. Looker (Google) is growing at cloud-native companies. Having one tool at an advanced level (including calculated fields, performance optimisation, and governance features) is more valued than surface familiarity with multiple tools.

Data analysts targeting skilled migration most commonly use ANZSCO 261312 (Developer Programmer) or a broader ICT occupation code if the work is primarily systems or software-driven. Business intelligence analysts may use ANZSCO 225113 (Management Consultant specialising in analytics). Consult a registered migration agent to confirm the correct code for your specific duties, as the assessment body differs between ICT and non-ICT occupations.

Australia has a strong appetite for experienced analytics professionals, particularly in financial services, telecom, and retail. Indian professionals with experience at Indian banks, FMCG companies, or IT services firms (Infosys, TCS, Wipro analytics divisions, Mu Sigma, Fractal) find their backgrounds valued by Australian employers. Framing your Australian resume around specific project outcomes and business decisions made from your analysis is important.

Superannuation (currently 11.5% of base salary in 2025–26, rising to 12%) is paid on top of your salary into a retirement fund. A data analyst earning AUD 100,000 base receives an additional AUD 11,500 in super contributions annually. Most Australian salary advertisements quote base salary only; always ask whether super is included or on top when reviewing an offer.

The typical job search timeline for a data analyst in Australia (applying from overseas or after arriving on a visa) is 4–10 weeks. Candidates who are already in Australia on a working visa generally progress faster through processes as employers can schedule in-person interviews more easily. SEEK is the primary platform; LinkedIn recruiter outreach also leads to a significant proportion of mid-and senior-level placements.

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