Supply Chain Data Analyst.
Austin.
$91,000
median salary, 7% above the national average
$71,000 to $119,000. Last updated April 2026.
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Data points to own the conversation.
Supply Chain Data Analyst pay in Austin ranges from $71,000 to $119,000 in 2026. The median is $91,000, 7% above the national average. Austin has transformed into one of America's fastest growing tech hubs, attracting relocations from Apple, Tesla, Oracle, and Samsung. Every dollar in that range is negotiable if you come prepared.
Salary range
Where do you fall?
Salary by experience
The gap between entry and lead level is typically $82,000. Where you land depends on years of experience and what you bring to the table.
Entry (0-2 yrs)
$59,000
to $73,000
Mid (3-5 yrs)
$77,000
to $96,000
Senior (6-9 yrs)
$100,000
to $118,000
Lead (10+ yrs)
$114,000
to $141,000
Salary trend
+7% YoYTotal compensation
Base salary is not the full picture. Equity, bonus, and signing can add $23,000 to the total package.
Base
$91,000
Equity
$13,000
Bonus
$8,000
Signing
$2,000
Estimated total: $114,000
How Austin compares
Austin, TX
$91,000
Cost of living: 3% above average
National Average
$85,000
Austin is $6,000 above
Supply Chain Data Analyst salary by city
Salary by role in Austin
What you should know
Before you negotiate a Supply Chain Data Analyst offer in Austin, understand the terrain. Austin has transformed into one of America's fastest growing tech hubs, attracting relocations from Apple, Tesla, Oracle, and Samsung. The city's combination of no state income tax, a vibrant startup scene, and a strong university pipeline makes it highly competitive. Salaries have risen sharply over the past five years, narrowing the gap with coastal cities. Supply Chain Data Analyst compensation is driven by domain specialization, SQL and statistical depth, and the financial or operational impact of insights delivered. Base salary carries most of the total compensation, with bonuses adding roughly 8% in a typical year. Within tech-sector Supply Chain Data Analysts specifically, employer tier (FAANG and frontier-AI labs vs mid-stage startups vs traditional enterprise) drives 68%+ variance across the compensation band.
Supply Chain Data Analysts at tech companies progress Analyst → Senior Analyst → Staff Analyst or Analytics Manager over 6 to 10 years. Data Scientist and Data Engineering are common lateral moves at the senior level for those wanting deeper technical work. In Austin, cost of living sits near the national average, so the numbers you see are roughly what you keep.
Base salary is not the full picture. Total compensation for Supply Chain Data Analysts runs roughly $92K at median when factoring base + typical bonus (~8% of base). Base salary carries most of the compensation; benefits (healthcare, 401(k) match, PTO) add an estimated 15–25% in imputed value on top. At tech companies specifically, equity and sign-on are often the largest delta between offers — two roles with matching base can differ by $100K+ at total when equity is included. And on the tax side: texas has no state income tax, which can mean 5 to 10% more take home pay compared to California roles. Property taxes are above average, however, running about 1.8% of home value. When someone quotes you $91,000, ask what the total package looks like. The gap between base and total comp is where real money hides.
On negotiation: Use the no income tax advantage as a negotiation lever. Ask employers to match 90% of a Bay Area offer and show that your net pay will actually be higher. The range for Supply Chain Data Analysts in Austin runs from $71,000 to $119,000. That is not a narrow window. Where you land inside it depends almost entirely on whether you negotiate and how well you prepare.
Sources: SEC filings, H-1B LCA (DOL), BLS OES, 50+ job posting platforms. COL: BEA Regional Price Parities (2025). Data verified by Justin Bartak, Founder & Chief AI Officer. Last verified April 8, 2026. Full methodology
Considering a related role?
- A Operations Manager in Austin earns $92,000 (1% more)
- The highest-paying role in Austin is Principal AI Research Scientist at $371,000
Common questions.
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