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Google

Software Development · 330k people

Business Intelligence Analyst, Product Data Warehouse

Posted 20 Oct

What’s this role about? The analyst will design and maintain end-to-end data pipelines, structured tables, and dashboards to support commercial measurement strategies. They will partner with cross-functional teams to translate business requirements into actionable KPIs and insights.

Boulder, Colorado
On-site
$116K – $166K
Full-time
2-5 years exp
2590 Pearl St, Boulder, CO 80302
Bachelor degree

Skills required

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Company

About Google A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone. Check out our career opportunities at goo.gle/3DLEokh

Google

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GGoogle logo
10,001+ employees
Software Development
Public Company
Raised $26.1M

Responsibilities

  • Partner with Go-to-Market (GTM) teams to understand Ads product/feature
  • priorities, translating questions into metrics and analyses.
  • Design robust data models and pipelines, partnering with Ads Engineering to
  • integrate data from multiple sources and systems and translate analyses into
  • compelling insights, communicating the "so what" to commercial leaders via
  • clear verbal and written communications.
  • analytics across our thousands of stakeholders.
  • Prioritize across engaging requests, utilizing a portfolio of solutions (from
  • ad hoc analyses to scalable pipelines) that balance short-term needs with
  • long-term scalability.
  • Leverage AI to accelerate development cycles while ensuring all data and
  • pipelines are fully tested and validated.

Qualification

Data & AnalyticsTechnologySoftwareMarketingSales

Required

  • Bachelor’s degree or equivalent practical experience.
  • 4 years of experience in Business Intelligence or Data Analytics.
  • 4 years of experience in SQL and Data Visualization (e.g., Looker, Tableau,
  • Power BI, Qlik, or similar technologies).

Preferred

  • Experience with data warehousing or data modeling concepts.
  • Experience with big data technologies (e.g., Hadoop, Spark, Python, or R).
  • Experience with translating business requirements to BI solutions.
  • Experience with explaining technical analysis to stakeholders.

Benefits

  • Bonus
  • Equity
  • Health Insurance

Interested in this role?

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