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Google Data Analyst Jobs (NOW HIRING)

Power BI, Tableau, or Google Data Analytics certifications Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without ...

Analyze processes, associated data sources and data to provide contextual understanding of business ... Knowledge and/or experience with Data Visualization and tools (Tableau, Google Data Studio)

Data Analyst - Long Term Contract - Remote (US-based) We're seeking a Data Analyst to support the ... Extract, clean, and organize data from multiple sources, including Google Sheets, Workiva, Looker ...

Data Analyst

Manhattan, NY · On-site

$45K - $160K/yr

Knowledge or experience working within Google Tag Manager or Google Analytics * Familiar with the basic fundamentals of data visualization, and at least one data visualization tool or package ...

Data Analyst

Manhattan, NY · On-site

$45K - $160K/yr

MRM is looking for a Data Analyst. The ideal candidate for this role has a solid fundamental ... Knowledge or experience working within Google Tag Manager and / or Google Analytics * Knowledge or ...

We are looking for a Data Scientist who can leverage advanced analytics, machine learning, and ... Knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform (Google Cloud Platform)

Data Analyst

Manhattan, NY · On-site

$45K - $160K/yr

Knowledge or experience working within Google Tag Manager or Google Analytics * Familiar with the basic fundamentals of data visualization, and at least one data visualization tool or package ...

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Google Data Analyst information

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$34K

$82.6K

$136K

How much do google data analyst jobs pay per year?

As of Jul 6, 2026, the average yearly pay for google data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Google Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields such as computer science, mathematics, or economics. Mastery of technical tools like SQL, Python, R, and data visualization platforms (e.g., Tableau, Looker), as well as Google Analytics certification, is highly valuable. Effective communication, critical thinking, and problem-solving abilities set top performers apart. These skills and qualities are crucial because they enable data analysts to extract actionable insights, communicate findings clearly, and drive impactful business decisions within fast-paced tech environments.

What are some typical projects or responsibilities a Google Data Analyst might handle on a daily basis?

As a Google Data Analyst, you'll often work on projects involving the collection, cleaning, and analysis of large datasets to uncover valuable trends and insights for different teams or products. Daily tasks may include writing queries to extract data, building dashboards, preparing reports, and presenting findings to stakeholders from engineering, product, or marketing departments. You may also collaborate with cross-functional teams to design and implement experiments, measure key performance indicators, and make data-driven recommendations. This dynamic environment allows you to develop a broad skill set while contributing directly to business decisions and innovation.

What is a Google Data Analyst job?

A Google Data Analyst is responsible for collecting, processing, and analyzing data to provide insights that drive business decisions. They use tools like SQL, Python, and Google Analytics to identify trends and improve processes. Their role involves data visualization, reporting, and stakeholder communication to support various teams.

More about Google Data Analyst jobs
What cities are hiring for Google Data Analyst jobs? Cities with the most Google Data Analyst job openings:
What are the most commonly searched types of Google Data Analyst jobs? The most popular types of Google Data Analyst jobs are:
What states have the most Google Data Analyst jobs? States with the most job openings for Google Data Analyst jobs include:

$90K - $120K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago


Job description

Role - Google Data Engineer
Experience Required -5+ Years
Must Have Technical/Functional Skills
• 5+ years of commercial software development experience.
• Cloud, GKE, Cloud Run, Cloud Functions, Pub-Sub, Apigee, Big Query, Terraform, RDBMS, No SQL, Maven, GIT, Jenkins, CI/CD, Big data, Scala, Spark, Hive SQL, GCP, Google cloud storage and Big Query, ETL, Data Modeling
• Python, AI/ML, Tensorflow, LLM, GenAI
• Develop secure, resilient cloud infrastructure on major cloud services provider using services such as GKE, Cloud Run, Cloud Functions, Pub/Sub, Apigee, and BigQuery, implementing IAM, VPC design, encryption, multi-region high availability, and Infrastructure as Code (Terraform) to support enterprise-grade customer experience platforms.
• Implement, and optimize CCaaS solutions, including ACD (Automatic Call Distribution), skills-based routing, dialer, omnichannel capabilities, and campaign management, ensuring scalable, secure, and compliant contact center operations.
• Have experience in integrations and migrations leveraging CCaaS APIs and telephony capabilities, including CRM/CTI integrations, webhooks, SIP/WebRTC, security configuration, and transition from legacy contact center platforms to Cloud based solutions.
• Design, develop, and maintain data pipelines/models/datasets to support CCaaS data platforms while ensuring data quality, reliability, security, and compliance.
• Experience building and integrating AI/ML solutions such as Xgboost, SARIMA, Prophet, prompt engineering and TensorFlow into production systems.
• Understanding model lifecycle including evaluations, hyperparameters, tuning, and ongoing monitoring, model governance, bias mitigation, and explainability.
• Experience with Agile development, CI/CD, DevOps and Observability.
• Hands on experience with Kafka, Relational, and/or NoSQL databases.
• Understanding of data structures, algorithms, and design patterns
• Looks proactively beyond the obvious for continuous improvement opportunities.
• Design and implement scalable CCaaS and IVA solutions leveraging leading Cloud and enterprise conversational AI / customer service solutions including conversational IVR design, NLU/NLP modeling, intent and flow orchestration, webhook integrations, speech-to-text/text-to-speech.
Generic Managerial Skills, If any
• Exceptional communication and stakeholder management skills, with the ability to collaborate with cross-functional teams, including developers, business analysts, and quality assurance professionals, to drive project success.
• Contact center migration to CCaaS and build data solution surrounding the migration Led cross-functional teams to define product vision, roadmap & quarterly plans using Aha & Jira, prioritizing backlogs based on user feedback & business goals.
• Orchestrated Agile ceremonies as Product Owner & Scrum Master (sprint planning, stand-ups, reviews, retros) for team alignment & transparency
Base Salary Range : $90,000 to $120,000 Per Annum
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.