Technical Business Analyst (Remote) Our client, a leading Pacific Northwest utility provider committed to public service and environmental preservation, is looking for a Technical Business Analyst for their Portland, Ore…
Engineering & IT · Portland, OR
Data Analyst jobs in Portland, OR
Data analysts answer business questions with data — writing SQL, building dashboards, and turning metrics into clear recommendations for teams that need to make a call.
242
Open roles today
$29–$71/hr
Typical pay range
$102k
Median, full-time
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01
Open data analyst roles
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required for this role ~ AWS, Databricks certifications nice to have, not required ~8-10 years' experience minimum preferred in a data- related role ~ Prior Nike experience required ~ Databricks Spark Python Snowflake SQ…
$77.18k - $88.2k
Title: Data Analyst Location: River House - 211 SE Caruthers St, Portland OR 97214 Schedule: Hybrid (onsite REQUIRED; local candidates only), Mon-Fri 8:00am-4:30pm (schedule flexibility available) Wage Range: $77,175 - $…
Work options: Hybrid Mon-Thurs onsite. Typical Title: Data Engineer | Machine Learning Engineer Locations : Beaverton, OR... ...reliability across the pipelines you own. Collaborate with data analysts, scientists and pro…
$78.91k - $110.27k
diverse experiences and perspectives help us become a stronger organization. Let’s be better together. Position Summary The Data Engineer role on the Data Science Team (DST) is responsible for designing, maintaining, and…
Job Description Job Description E-commerce Data & Business Analyst *Hybrid Role typically 4 days in office, 1 Day WFH depending on if there are holidays, pto, etc. Non-negotiable for fully remote. Continental Marketing,…
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What data analysts earn in Portland
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $29–$42 | $61k–$88k |
| Mid level | $42–$56 | $88k–$116k |
| Senior | $53–$71 | $110k–$148k |
Adjusted for the Portland market from national ranges.
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What employers ask for
The skills these listings keep naming
SQLExcel / Google SheetsTableau, Power BI, or LookerBasic statisticsPython or R (a plus)Data cleaningDashboard designPresenting findings clearlyBusiness domain knowledge
04
Interview questions worth rehearsing
With the thing the interviewer is actually listening for
A metric dropped 15% week over week. How do you investigate?
Segment first — by platform, region, source — and check for data issues before assuming a real change. A methodical decomposition is exactly what they want.
Walk me through a dashboard or report you built that people actually used.
Focus on the decision it supported and how you designed for the audience. Adoption is the success metric, not chart count.
How comfortable are you with SQL? Describe a complex query you wrote.
Mention joins, window functions, or CTEs in the context of a real question. Expect a live exercise, so pick an example you can reconstruct.
A stakeholder wants data that supports a conclusion they already hold. What do you do?
Show that you present what the data says, frame caveats respectfully, and stay useful without becoming a rubber stamp.
How do you check whether your analysis is correct before sharing it?
Talk about sanity checks against known totals, replicating with a second method, and having someone review the logic. Self-QA habits separate reliable analysts.
Correlation versus causation — give a business example where it matters.
Use a concrete case, like ice cream and sunburn or a marketing example, and mention what would move you toward causal confidence, such as an experiment.
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Resume tips that move the needle
For data analysts specifically — generic advice costs you here
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Tie each analysis to the decision or dollar outcome it drove — 'identified churn segment worth $400K in retained revenue' is the format that works.
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List SQL first and honestly grade your level; it is the single most tested skill for this role.
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Name the BI tools you have shipped dashboards in, and how many people relied on them.
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Show domain context (e-commerce, SaaS, healthcare) because analysts are hired into a business, not just a toolset.
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A small portfolio of public analyses with clear write-ups can offset limited job experience.
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Where this role goes
Typical progression
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Junior Data Analyst
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Data Analyst
03
Senior Data Analyst
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Analytics Manager
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