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Google Data Analyst Jobs in Columbus, OH (NOW HIRING)

Huntington

Senior Google Data (AI) Architect

Columbus, OH

$63.25 - $84.50/hr

You will play a key role in evolving our platforms to support not only analytics and operational ... Join us as a Senior Google Data Architect and help shape the future of our enterprise data services ...

New

Bonobos

Customer Data Analyst

Columbus, OH · On-site

Experience with Google Analytics and CRM or marketing automation platforms. * Experience with data visualization and BI tools. * Advanced Excel skills; familiarity with statistical analysis ...

SynergisticIT

Data Analyst II

Columbus, OH · On-site

... in Data Science, Analytics, or Engineering , it's time to stop guessing and start choosing results ... Our candidates have landed jobs at top tech firms like Google, Apple, Client, Visa, PayPal , and ...

Google

Facility Manager, Data Center Operations

Columbus, OH · On-site

$161.30K/yr

Learn more about benefits at Google . Responsibilities * Lead efforts to perform compliance activities for a data center and analyze compliance results for data centers globally. Ensure regional and ...

SynergisticIT

Applied Data Analyst

Columbus, OH · On-site

... Data & Analytics summit Why do Tech Companies not Hire recent Computer Science Graduates ... apple, google, Paypal, western union, Client, visa, walmart lab s etc to name a few. We are ...

Steritech

Data Analyst, Steritech

Columbus, OH · On-site

In addition, the Data Analyst must develop an in-depth understanding of the Brand Standards ... Proficiency with Google applications (docs, sheets, calendar, drive, etc.). * Experience in ...

Express

Customer Data Analyst

Columbus, OH · On-site

Experience with Google Analytics and CRM or marketing automation platforms * Experience with data visualization and BI tools * Advanced Excel skills; familiarity with statistical analysis techniques

Express

Customer Data Analyst

Columbus, OH · On-site

... Google Analytics and CRM or marketing automation platforms Experience with data visualization and BI tools Advanced Excel skills; familiarity with statistical analysis techniques Experience in e ...

Express

Customer Data Analyst

Columbus, OH · On-site

Experience with Google Analytics and CRM or marketing automation platforms * Experience with data visualization and BI tools * Advanced Excel skills; familiarity with statistical analysis techniques

Express

Customer Data Analyst

Columbus, OH · On-site

... Google Analytics and CRM or marketing automation platforms Experience with data visualization and BI tools Advanced Excel skills; familiarity with statistical analysis techniques Experience in e ...

Express

Customer Data Analyst

Columbus, OH · On-site

Experience with Google Analytics and CRM or marketing automation platforms * Experience with data visualization and BI tools * Advanced Excel skills; familiarity with statistical analysis techniques

Genesis10

Senior Data Analyst - Hybrid

Columbus, OH · Hybrid

$65 - $75/hr

Experience in Google Cloud Platform, notably Big Query * Extensive experience analyzing and interpreting business data leveraging various techniques including automation for data quality validations

SynergisticIT

Data Analyst (Entry Level)

Columbus, OH · On-site

... apple, google, PayPal, Western Union, Client, Visa, Walmart labs etc. to name a few. We have an ... data analysts/data scientists. We welcome candidates with all visas and citizens to apply. Who ...

SynergisticIT

Data Analyst - Entry Level

Columbus, OH · On-site

... Google, Client, Ebay, Paypal, Kroger, the Walt Disney Company and hundreds more. If you are tired ... Data Analytics Summit (Florida)-2023 SynergisticIT at Gartner Data and Analytics Summit 2023 ...

SynergisticIT

Entry Level Data Analyst

Columbus, OH · On-site

... apple, google, Paypal, western union, client, visa, walmart lab etc to name a few. We have an ... analysts/data scientists, machine learning engineers for full time positions with clients. Who ...

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$31.8K

$77.2K

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How much do google data analyst jobs pay per year?

As of May 28, 2026, the average yearly pay for google data analyst in Columbus, OH is $77,214.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,400.00 and $90,600.00 per year, depending on experience, location, and employer.

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.

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.
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Google Data Analyst jobs near you
Infographic showing various Google Data Analyst job openings in Columbus, OH as of May 2026, with employment types broken down into 4% Internship, 87% Full Time, 5% Part Time, and 4% Contract. Highlights an 71% In-person, 4% Hybrid, and 25% Remote job distribution, with an average salary of $77,214 per year, or $37.1 per hour.

Senior Google Data (AI) Architect

Huntington

Columbus, OH

$63.25 - $84.50/hr

Full-time

Medical, Life, Retirement, PTO

Posted yesterday

Job description

Description
Job Description Summary
  • We are seeking an exceptional Senior Google Cloud Data Architect who is passionate about building world class, cloud native data platforms and data services that power the enterprise.
  • This is not a generic architect role — it is a high influence, high ownership opportunity to help define how a modern financial institution designs, scales, and operates data platforms on Google Cloud, with a strong focus on enabling data as a product and data as a service capabilities.
  • You will play a key role in evolving our platforms to support not only analytics and operational workloads, but also emerging AI and intelligent application patterns that depend on high-quality, well-governed, and accessible data.
  • If you're excited by complex engineering challenges, modern GCP data capabilities, and shaping how data platforms evolve to support the next generation of intelligent systems, we want to meet you.
  • Join us as a Senior Google Data Architect and help shape the future of our enterprise data services ecosystem. In this high impact role, you’ll leverage Google Cloud to design and deliver scalable, secure, and reusable data platforms and APIs that fuel analytics, real-time processing, and enterprise integration.
  • You will define how data is ingested, processed, governed, and exposed across the organization, enabling consistent and reliable access to trusted data.
  • In parallel, you will help extend these platforms to support AI/ML and emerging agent-driven use cases, ensuring our data foundation is fully prepared to power intelligent applications and automated decisioning in a controlled, enterprise-ready manner.

Job Description Details:

  • Define and evolve target-state data platform and data services architecture aligned to business strategy and modernization goals
  • Establish enterprise standards and reference architectures for data as a service, event-driven architecture, and API-based data access
  • Drive adoption of data as a strategic asset, enabling operational, analytical, and intelligent system use cases across the enterprise
  • Architect scalable data platforms that support both traditional workloads and emerging AI/ML use cases, grounded in trusted enterprise data
  • Define integration patterns that unify data services, APIs, and AI capabilities to enable intelligent applications and automation
  • Enable data accessibility, reuse, and contextualization to support cross-platform consumption, including emerging agent-driven workflows
  • Establish foundational patterns for data retrieval, context enrichment, and grounding to support advanced use cases such as AI and real-time decisioning
  • Architect and design enterprise-grade data pipelines supporting batch, streaming, and real-time workloads
  • Build and standardize data ingestion, transformation, and distribution frameworks that power scalable data services capabilities
  • Ensure delivery of high-quality, governed, and trusted data pipelines that support analytics, APIs, and downstream intelligent applications
  • Implement best practices for event-driven data movement and microservices-based integration patterns
  • Design data models and structures that enable data productization and consumption across analytics, APIs, and AI-driven use cases
  • Architect high-performance storage solutions (including Bigtable, Spanner and other GCP services) to meet throughput, latency, and scalability requirements
  • Enable secure, governed, and efficient data access patterns across operational, analytical, and real-time environments
  • Serve as a trusted advisor and technical leader, mentoring teams, driving best practices, and partnering with stakeholders to identify high-value data and AI-enabled use cases
  • We are seeking an exceptional Senior Google Cloud Data Architect who is passionate about building world class, cloud native data platforms and data services that power the enterprise.
  • High influence, high ownership opportunity to help define how a modern financial institution designs, scales, and operates data platforms on Google Cloud, with a strong focus on enabling data as a product and data as a service capabilities.
  • You will play a key role in evolving our platforms to support not only analytics and operational workloads, but also emerging AI and intelligent application patterns that depend on high-quality, well-governed, and accessible data.
  • If you're excited by complex engineering challenges, modern GCP data capabilities, and shaping how data platforms evolve to support the next generation of intelligent systems, we want to meet you.

Basic (Required) Qualifications

  • Minimum 7 years of experience in data architecture, cloud data engineering, or enterprise data platform design.
  • Deep hands-on expertise with multiple GCP services, including: BigQuery, Bigtable, Pub/Sub, Dataflow (Beam), Cloud Composer, GKE, Apigee, Cloud Storage, Gemini Enterprise Agent Platform
    • Strong experience designing large scale data models for operational workloads.
    • Proven ability to build resilient, scalable pipelines for high volume batch and streaming data.
    • Proficiency in SQL and experience with Python or Java for data engineering pipelines.
    • Strong understanding of distributed systems, workflow orchestration, real time analytics, and event-driven design.
    • Experience designing secure, governed, production grade cloud architectures.
  • Excellent communication skills with the ability to simplify complexity and influence decision makers.

Preferred Qualifications

  • Experience with enterprise financial services, payments, or transaction heavy domains.
  • Background in API first design, microservices, and federated data architectures.
  • Familiarity with data governance frameworks, lineage, cataloging tools, or metadata platforms.
  • Experience with DevOps, CI/CD, IaC (Terraform), or platform engineering concepts.
  • Certification: Professional Data Engineer or Professional Cloud Architect (GCP).


Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay)

Yes

Workplace Type:

Office

Our Approach to Office Workplace Type

Certain positions outside our branch network may be eligible for a flexible work arrangement. We’re combining the best of both worlds:  in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team.

Compensation Range:

Total Base Pay Range 93,000.00 - 189,000.00 USD Annual

The compensation range represents the anticipated low and high end of the base compensation range for this position. Actual compensation will vary based on various factors including but not limited to location, experience, and education.  Colleagues in this position are also eligible to participate in an applicable incentive compensation plan.  In addition, Huntington provides a variety of benefits to colleagues, including health insurance coverage, wellness program, life and disability insurance, retirement savings plan, paid leave programs, paid holidays and paid time off (PTO). 

Huntington is an Equal Opportunity Employer.

Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details.

Note to Agency Recruiters:  Huntington will not pay a fee for any placement resulting from the receipt of an unsolicited resume.  All unsolicited resumes sent to any Huntington colleagues, directly or indirectly, will be considered Huntington property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.

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