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Weekday Google Data Analyst Jobs (NOW HIRING)

Diverse Lynx

BA/ DA

Manhattan, NY · On-site

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 ...

Infojini Inc

Data Analyst

Linthicum Heights, MD

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)

Right Skale, Inc.

Data Analyst

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 ...

MRM McCann

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 ...

MRM McCann

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 ...

GARGI TECHNOLOGIES INC

Data Analyst

Pennsburg, PA · On-site

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)

MRM McCann

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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All JobsWeekday Google Data Analyst Jobs

Weekday Google Data Analyst information

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$34K

$82.6K

$136K

How much do weekday google data analyst jobs pay per year?

As of Jul 6, 2026, the average yearly pay for weekday 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.

Is 40 too late for data science?

For a Weekday Google Data Analyst role, age is generally not a barrier; many professionals transition into data roles later in life. Success depends on skills, experience, and continuous learning in tools like SQL, Excel, and data visualization, rather than age alone.

What is the difference between Weekday Google Data Analyst vs Weekday Data Scientist?

AspectWeekday Google Data AnalystWeekday Data Scientist
Required CredentialsBachelor's in Data Analysis, Statistics, or related field; Google certificationsBachelor's or Master's in Data Science, Computer Science, or related; advanced certifications
Work EnvironmentData analysis, reporting, dashboards within Google toolsModel development, complex analysis, machine learning projects
Employer & Industry UsagePrimarily in tech, marketing, and e-commerce companies using Google platforms

Weekday Google Data Analysts focus on interpreting data, creating reports, and supporting decision-making using Google tools. In contrast, Weekday Data Scientists handle advanced modeling, machine learning, and predictive analytics. Both roles require strong analytical skills and familiarity with data tools, but Data Scientists typically have more technical expertise and work on complex algorithms.

How many hours does a Data Analyst work in a week?

A Weekday Google Data Analyst typically works around 40 hours per week, following a standard full-time schedule. However, workload and hours can vary depending on project deadlines, company policies, and whether overtime or flexible hours are required.

Is a Data Analyst still worth it in 2026?

A Data Analyst remains a valuable role in 2026, as organizations continue to rely on data-driven decision-making. Skills in SQL, Excel, and data visualization tools like Tableau or Power BI are essential, and demand is expected to grow with increasing data volumes and analytics adoption across industries.

How much does Google pay a Data Analyst?

Google Data Analysts typically earn an average salary ranging from $70,000 to $100,000 per year, depending on experience, location, and skill level. Entry-level positions may start lower, while experienced analysts with skills in SQL, Excel, and data visualization tools can earn higher salaries.
What cities are hiring for Weekday Google Data Analyst jobs? Cities with the most Weekday 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 Weekday Google Data Analyst jobs? States with the most job openings for Weekday Google Data Analyst jobs include:
Weekday Google Data Analyst jobs near you

Google Data Engineer

Tata Consultancy Service Limited

Charlotte, NC • On-site

$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.

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