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Google Bi Jobs (NOW HIRING)

Perform advanced analysis on data from Google Analytics, Adobe Analytics, and other data sources for attribution modeling and segmentation. * Train and mentor new team members on Power BI development ...

Nesco Resource is a company seeking a Power BI Developer to assist with operations related to ... Google Cloud Platform, and Microsoft Office. • Advanced skills with Microsoft Office, Excel ...

RESPEC is hiring a BI Developer to support a public sector partner by administering, developing ... This role is hands-on and highly technical, with a strong focus on Google Looker (LookML) and SQL ...

... Google Cloud Platform, SharePoint, Quickbase, etc.Develop and maintain BI semantic models in a star schema structure using DAX measures, calculated columns, hierarchies, and established database ...

Lead BI/Data/Web Developer

Manhattan, NY · On-site

$130K - $155K/yr

Familiarity with data from major Ad-Tech platforms (e.g., Google Ad Manager, DSPs, SSPs) or ... BI Portal Development. Pay Range $130,000-$155,000 USD Benefits: TEGNA offers comprehensive ...

... Google Cloud Platform, SharePoint, Quickbase, etc. Develop and maintain BI semantic models in a star schema structure using DAX measures, calculated columns, hierarchies, and established database ...

Lead BI/Data/Web Developer

New York, NY · On-site

$130K - $155K/yr

Familiarity with data from major Ad-Tech platforms (e.g., Google Ad Manager, DSPs, SSPs) or ... BI Portal Development. Pay Range $130,000-$155,000 USD Benefits: TEGNA offers comprehensive ...

The BI/AI lead will lead development and cross train the teams on Microsoft Power Automate ... emphasis on CoPilot, Google ADK/Gemini, and Claude models and agentic capabilities), prompt ...

RESPEC is hiring a BI Developer to support a public sector partner by administering, developing ... This role is hands-on and highly technical, with a strong focus on Google Looker (LookML) and SQL ...

Data / BI Architect Location: Pontiac, MI Duration: 12Months + About role: Data Business ... Cloud native (AWS Glue, Azure Data Factory, Google Cloud Dataflow) & in-warehouse transform tools ...

Showing results 21-40

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How much do google bi jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for google bi in the United States is $50.86, according to ZipRecruiter salary data. Most workers in this role earn between $38.94 and $58.65 per hour, depending on experience, location, and employer.

What is a Google BI?

A Google BI (Business Intelligence) job typically involves analyzing large datasets, creating dashboards, and generating insights to support data-driven decision-making. BI professionals at Google work with SQL, data visualization tools, and cloud technologies to transform raw data into actionable insights. They collaborate with cross-functional teams to enhance business operations, optimize performance, and support strategic initiatives. Strong analytical skills, problem-solving abilities, and experience with data modeling are essential for this role.

What are the typical day-to-day responsibilities of a Google BI professional?

As a Google BI professional, your daily tasks will often include extracting, transforming, and analyzing large datasets to identify trends and support business decision-making. You'll develop dashboards and reports using tools like Looker or Google Data Studio, collaborate with various teams to understand their data needs, and translate business requirements into analytical solutions. You may also troubleshoot data inconsistencies and work with engineering teams to improve data reliability. This dynamic environment encourages ongoing learning and provides exposure to cutting-edge analytics projects across multiple business domains.

What are the key skills and qualifications needed to thrive in the Google BI position, and why are they important?

To thrive as a Google Business Intelligence (BI) professional, you generally need strong analytical skills, proficiency in data modeling, and a solid understanding of business processes, typically supported by a degree in computer science, data analytics, or a related field. Experience with tools such as SQL, Tableau, Looker (Google Data Studio), and possibly certifications in cloud platforms like Google Cloud Platform (GCP) are highly valued. Excellent communication, problem-solving abilities, and teamwork help translate complex data into actionable insights for diverse stakeholders. These skills are crucial for driving data-informed decisions, optimizing business strategies, and effectively collaborating across departments in a fast-paced tech environment.

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What are the most commonly searched types of Google Bi jobs?

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What states have the most Google Bi jobs?

States with the most job openings for Google Bi jobs include:

Infographic showing various Google Bi job openings in the United States as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 66% In-person, 17% Hybrid, and 17% Remote job distribution, with an average salary of $105,787 per year, or $50.9 per hour.

SMB Performance and Sales Engines Lead, Google Cloud

Google Inc.

Chicago, IL • On-site

$152 - $221/hr

Other

This job post has expired today. Applications are no longer accepted.


Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

49th of 244 rated software companies


Job description

SMB Performance and Sales Engines Lead, Google Cloud
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corporate_fare Google place Chicago, IL, USA ; Atlanta, GA, USA ; +3 more ; +2 more

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

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info_outline X The application window will be open until at least August 27, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Chicago, IL, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA.

  • Bachelor's degree or equivalent practical experience.
  • 6 years of experience in go-to-market strategy, sales operations, strategy and operations, data analytics, or management consulting.
  • Experience in data analysis with data analytics tools (e.g., SQL, BigQuery, BI platforms) and working with data scientists, BI engineers, and GTM systems developers.
  • Experience managing rhythm of business activities, such as sales-play planning, running business performance reviews, or targeting governance.
  • Experience working with executive-level stakeholders to present data analysis, propensity models, and business performance metrics.
  • Experience with investigative problem-solving, structured data analysis, and translating datasets into actionable business insights.
Preferred qualifications:
  • Master's Degree or MBA.
  • Experience in management consulting, finance, or business strategy function.
  • Experience working with sales targeting models, propensity-based prioritization, and scaling GTM performance metrics (e.g., tracking win-rate lifts, campaign conversion, or new logo acquisition).
  • Excellent relationship-building skills with sales leaders, product practice managers, and cross-functional stakeholders (e.g., BI, sales operations, tooling and systems teams).
  • Track record of high productivity and execution under tight deadlines, with a willingness to tests assumptions, take direct ownership, and drive business outcomes.
About the job

As a Small and Medium Business (SMB) Performance and Sales Engines Lead for Data-Driven Sales Engines and Performance, you will lead the design, governance, and commercialization of customer targeting intelligence and dynamic sales engines across Google Cloud’s SMB segment. Operating at the intersection of business acceleration and field strategy, you will own the evolution of multi-source propensity models and external market signals, translating first-party consumption data, firmographics, and buyer intent into high-yield sales plays and actionable seller workflows.

  • Serve as the Strategy and Operations lead for data-driven sales engines and customer targeting across the SMB segment, unifying account prioritization methodologies with streamlined seller workflows.
  • Maintain and continuously refine targeting models and signal repositories, integrating multi-source usage data, market indicators, and buyer intent to optimize account selectivity and align with business priorities.
  • Partner with Data Science, Sales Tooling, and go-to-market (GTM) Systems teams to embed targeting intelligence and automated recommendations into core seller platforms, driving regular representative usage, high satisfaction, and operational efficiency.
  • Design and implement measurement frameworks and key performance indicators (KPIs) to track both commercial impact (win-rate lifts, new logo acquisition, consumption) and seller health metrics (play adoption, process efficiency, workflow conversion) to iteratively capture business.

US: $152000 - $221000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google .

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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