Atlanta, GA

Salary
$116,000–$167,000from the description
Posted
Jul 14, 2026
Location
Atlanta, GA
Last confirmed open
Jul 21, 2026

What this job asks for AI summary

A mid-level data role focused on building and maintaining the BI infrastructure that supports Google Cloud's sales and operations teams. Day-to-day work involves writing SQL, constructing data pipelines and warehouses, designing dashboards, and developing data models and marts to surface insights for leadership. The role also includes partnering with cross-functional teams on AI-agent integrations and owning projects end-to-end from design through delivery.

Mid level · 4+ years · Boulder, CO · Full-time

Must have (3)
SQL · 4+ yrsdata pipelinesLooker, Tableau or Power BI
Nice to have (3)
Python, R, JavaScript or Goversion controlstatistical modeling

“or” means any one of them counts — you don't need all of them.

Posted 4 times — it's one opening, so apply once.

We read this from the posting text with AI. Skim the description below before ruling yourself out.

How this req sits in the market our data

Roughly 2 people in the Boulder, CO area plausibly meet what this posting asks for (operations research analysts). range 1–3

Applicant volume Light — Few people clear these requirements, so an application that does clear them gets looked at. Worth applying to even if you miss a nice-to-have.

What won't set you apart
SQL78%Looker45%

Most people in this occupation already list these. Still required — just not what gets you shortlisted.

What the occupation pays Median $132,736 (middle half $104,969–$163,743). This posting is about at that midpoint.

Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.

Why we read it this way (8)

The posting lists multiple possible work locations: Boulder, CO; Atlanta, GA; Austin, TX; and Chicago, IL. Boulder, CO is listed first and used as the primary CBSA here.

The title includes 'I' (level one), which Google uses as an entry-level/junior designation, but the posting's own framing explicitly labels this role 'Mid' and describes 'deeper expertise and applied knowledge' — seniority is assessed as Mid accordingly.

Degree requirement is set to None because the posting explicitly accepts 'equivalent practical experience' in lieu of a Bachelor's degree.

The 4-year SQL/data pipeline experience requirement is stated at the role level in the minimum qualifications; it is also the closest proxy for total experience, so it is captured as the overall years minimum.

Scripting languages (Python, R, JavaScript, Go) appear under Preferred qualifications and are marked as preferred.

Version control and statistical modeling appear under Preferred qualifications and are marked as preferred.

The SOC code 15-2031 (Operations Research Analysts) is chosen over 15-1243 (Database Architects) because the role's primary output is BI dashboards, data models, and actionable insights for business decision-making, rather than architecting data infrastructure as an end in itself — though the pipeline/data mart work makes 15-1243 a credible runner-up.

Compensation is $116,000–$167,000/year plus a 15% bonus target and equity, as stated in the posting.

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