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Analytical Lead Google Jobs (NOW HIRING)

Coalfire

Senior Google Cloud Security Consultant

$67 - $89/hr

Lead secure Google Cloud architecture design and reviews across IAM, networking, workload ... analysis, entitlement risk, and remediation workflows * Develop executive-ready findings ...

Google

Silicon Failure Analysis Lead

San Diego, CA · On-site

Google's mission is to organize the world's information and make it universally accessible and ... analysis. * Lead systematic efforts to eliminate yield detractors, accelerate yield ramps, reduce ...

Coalfire

Principal Google Cloud Security Consultant

$60 - $81.75/hr

Lead secure Google Cloud architecture design and reviews across IAM, networking, workload ... analysis, entitlement risk, and remediation workflows * Develop executive-ready findings ...

Qualis1 Inc

Data Engineer : Hybrid Role

Washington, DC · On-site

$129K - $155K/yr

Function as the lead Google data team point of contact to support NOTAM data platform * Be highly ... Analyze on-premise and cloud database environments, consulting on the optimal design for ...

Google

AI Strategy Lead

Chicago, IL · On-site

At Google, data drives all of our decision-making. As part of the Finance Data and Analytics (DnA) team, you will use data to inform business, process and product decisions across Google. In this ...

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Analytical Lead Google information

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$193.5K

How much do analytical lead google jobs pay per year?

As of Sep 4, 2026, the average yearly pay for analytical lead google in the United States is $100,673.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,500.00 and $125,000.00 per year, depending on experience, location, and employer.

What does an analytical lead at Google do?

An Analytical Lead at Google is responsible for leveraging data and analytics to help clients make informed business decisions, particularly in the context of digital advertising and marketing strategies. They work closely with clients and internal teams to interpret data, identify trends, and provide actionable insights that drive campaign effectiveness and business growth. Analytical Leads often use tools like Google Analytics and BigQuery, and collaborate with sales and engineering teams to deliver tailored solutions. The role requires strong analytical skills, business acumen, and the ability to communicate complex findings in a clear and compelling way.

How does an analytical lead at Google typically collaborate with sales and product teams to drive client success?

As an Analytical Lead at Google, you will work closely with both sales and product teams to translate complex data insights into actionable strategies for clients. This collaboration often involves participating in client meetings, identifying key business challenges, and developing tailored analytical solutions that support campaign objectives. You may also partner with product managers to align Google's offerings with client needs, ensuring that recommendations are both innovative and feasible. Strong communication and project management skills are essential for effectively bridging technical analysis with business goals.

What are the key skills and qualifications needed to thrive as an analytical lead at Google, and why are they important?

To excel as an Analytical Lead at Google, you need strong analytical and problem-solving skills, a solid background in data analysis or statistics, and typically a relevant degree such as in business, economics, or a quantitative field. Expertise in data visualization tools (like Tableau or Google Data Studio), SQL, and experience with digital marketing analytics platforms are commonly required. Exceptional communication, stakeholder management, and strategic thinking are standout soft skills in this role. These abilities are crucial for translating complex data into actionable insights that drive business growth and effective decision-making.

What is the difference between Analytical Lead Google vs Data Analyst?

AspectAnalytical Lead GoogleData Analyst
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related fields; often with certifications in Google tools or data platformsBachelor's in Statistics, Mathematics, or related fields; certifications in data analysis tools are common
Work EnvironmentLeading analytics projects within Google, collaborating with cross-functional teams, strategic decision-makingAnalyzing data sets, generating reports, supporting business decisions under supervision
Employer & Industry UsagePrimarily within Google or similar tech companies, focusing on large-scale data projectsAcross various industries including tech, finance, healthcare, often in corporate or consulting settings

The main difference is that an Analytical Lead Google typically oversees complex data projects, provides strategic insights, and leads teams within Google, whereas a Data Analyst focuses on analyzing data, creating reports, and supporting decision-making at a more operational level. The Analytical Lead role involves higher responsibility, leadership, and often more advanced skills and experience.

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Analytical Lead Google jobs near you
Infographic showing various Analytical Lead Google job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $100,673 per year, or $48.4 per hour.

Analytics Lead, Partner Marketing, Google Cloud

Google

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago

Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

48th of 247 rated software companies

Job description

info_outline
X In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
  • Health, dental, vision, life, disability insurance
  • Retirement Benefits: 401(k) with company match
  • Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
  • Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
  • Maternity Leave (Short-Term Disability Baby Bonding): 28-30 weeks
  • Baby Bonding Leave: 18 weeks
  • Holidays: 13 paid days per year

Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Kirkland, WA, USA; Seattle, WA, USA; San Francisco, CA, USA; Sunnyvale, CA, USA.
Minimum qualifications:
  • Bachelor's degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Mathematics, Data Science, etc.) or equivalent practical experience.
  • 9 years of experience as a data analyst or data scientist using statistical techniques and quantitative modeling.
  • 7 years of experience analyzing data sets using SQL.
  • Experience developing data visualizations.

Preferred qualifications:
  • Experience collaborating with cross-functional stakeholders to drive consensus on technical data requirements, including strategic data direction, ad-hoc analysis, or development of new data pipelines.
  • Experience working with first and third-party martech systems, integration points for data, building Extract Transform Load (ETL) pipelines.
  • Experience presenting complex data analyses as easy to understand insights to leadership, with the ability to represent and influence discussions involving quantitative concepts and data-based stories.
  • Experience architecting scalable dashboards and reporting suites, statistically sound measurement frameworks.
  • Familiarity with Business-to-Business and Partner marketing data.

About the job
Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $180000 - $261000 (USD) 20% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Guide partner marketing analytics strategy, collaborating with cross-functional and executive leadership to establish performance measurement frameworking and business reporting.
  • Integrate complex, multi-source data to build user-friendly dashboards and recurring reports, providing high-level insights and segmented, investigative analyses that drive key business decisions.
  • Uncover actionable insights that expose operational opportunities, directly informing strategic changes to enhance customer usage and engagement across Google Cloud products.
  • Apply statistical methods to solve complex business problems, supporting the end-to-end design and implementation of A/B, multivariate, and causal inference testing.
  • Serve as a technical authority in end-to-end data extraction, complex manipulation, interactive data visualization, and advanced data mining techniques.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
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 .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
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.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
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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