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Contract Google Data Analyst Jobs in Deerfield, IL

Huntington

Senior Google Data (AI) Architect

Chicago, IL

$69.25 - $92.75/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

Kasmo Global

Data Analyst

Northbrook, IL · On-site

Contract-to-Hire (C2H) We are seeking a highly analytical and detail-oriented Data Analyst to join our team in Northbrook, IL. This role is 100% onsite and is a contract-to-hire opportunity. The ...

PeopleCaddie

Data Analyst

Chicago, IL · Remote

$80 - $85/hr

Senior Data Analyst / Data Modeler - Contract Client: Large Public Accounting Firm Engagement: 6+ Month Contract Work Model: Fully Remote Rate: $80-$85/hour (C2C) Role Overview The Senior Data ...

Tree Top Staffing LLC

Data Analyst

Wheeling, IL · On-site

$80K - $95K/yr

We are seeking a Data Analyst who will turn data into information, information into insight and ... contract, contract-to-hire, and direct-hire placements within multiple lines of business. Our ...

Apex Informatics

Data Analyst

Chicago, IL · On-site

Contract Work authorization: Cannot work with OPT or CPT Description NTRS Asset and Market Data team is looking for an experienced and versatile Data Analytics Engineer to help us build a Security ...

Apex Informatics

Data Analyst

Chicago, IL · Hybrid

Contract Work authorization: Cannot work with OPT or CPT Description NTRS Asset and Market Data team is looking for an experienced and versatile Data Analytics Engineer to help us build a Security ...

EPITEC

Data Analyst

Chicago, IL · On-site

$33.65/hr

Contract * Job #102830 ****NO C2C - ONLY W2 - MUST BE USC OR GC CANDIDATE**** ****CANDIDATE MUST ... Analyze data to identify trends, patterns, and influences supporting strategic initiatives

Epitec

Data Analyst

Chicago, IL · On-site

$33.65/hr

Contract * Job #102830 ****NO C2C - ONLY W2 - MUST BE USC OR GC CANDIDATE**** ****CANDIDATE MUST ... Analyze data to identify trends, patterns, and influences supporting strategic initiatives

Ageatia Global Solutions

Data Analyst

Chicago, IL · On-site

Senior Data Analyst Location: Chicago IL Duration: 03 - 06 months Contract. Job Requirements: * Required expertise: Power BI, SQL and Databricks. * Design, optimize, and maintain complex SQL queries ...

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All JobsContract Google Data Analyst JobsContract Google Data Analyst Jobs in Deerfield, IL

Contract Google Data Analyst information

See Deerfield, IL salary details

$34.6K

$84K

$138.3K

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

As of May 28, 2026, the average yearly pay for contract google data analyst in Deerfield, IL is $84,040.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,600.00 and $98,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Contract Google Data Analyst, and why are they important?

To thrive as a Contract Google Data Analyst, you need strong analytical skills, proficiency in statistics, and experience with data modeling, typically supported by a relevant degree in data science, statistics, or a related field. Familiarity with tools such as Google Analytics, BigQuery, SQL, and data visualization platforms like Tableau or Data Studio is essential, and Google Analytics certification is often preferred. Excellent problem-solving abilities, attention to detail, and effective communication skills help convey insights and collaborate with stakeholders. These skills and qualities are important to extract actionable insights from data, drive business decisions, and deliver value in a dynamic contract environment.

What are some common challenges faced by contract Google Data Analysts, and how can they be effectively addressed?

Contract Google Data Analysts often face the challenge of quickly adapting to new teams and data systems within a limited timeframe. They must familiarize themselves with company-specific data structures, tools like BigQuery and Looker, and reporting standards while delivering actionable insights promptly. Building strong communication with permanent team members early on and documenting their work thoroughly helps ensure smooth collaboration and project continuity. Proactively seeking feedback and clarifying project expectations can also help contract analysts deliver value efficiently.

What are Contract Google Data Analysts?

Contract Google Data Analysts are professionals hired on a temporary or project basis to analyze and interpret data for Google or its clients. They use tools such as SQL, Python, and Google Analytics to gather insights, create reports, and help inform business decisions. Unlike full-time employees, contract analysts typically work for a set duration or specific project, often through a staffing agency or as independent contractors. Their responsibilities may include data cleaning, visualization, and presenting findings to stakeholders. This role requires strong analytical skills and the ability to work independently within fast-paced environments.

What is the difference between Contract Google Data Analyst vs Contract Data Analyst?

AspectContract Google Data AnalystContract Data Analyst
CredentialsGoogle certifications, data analysis skillsGeneral data analysis skills, certifications vary
Work EnvironmentPrimarily tech companies, digital projectsVarious industries, corporate or consulting settings
Employer UsageGoogle-related projects, tech firmsMultiple sectors including finance, healthcare
Search & Comparison IntentFocus on Google-specific roles, toolsBroader data analysis roles across industries

The Contract Google Data Analyst typically works on Google platforms and tools, often within tech companies or digital projects, requiring familiarity with Google-specific certifications. In contrast, a Contract Data Analyst has a broader scope, working across various industries with general data analysis skills. Both roles involve analyzing data to support business decisions but differ mainly in their industry focus and required certifications.

What are popular job titles related to Contract Google Data Analyst jobs in Deerfield, IL? For Contract Google Data Analyst jobs in Deerfield, IL, the most frequently searched job titles are:
What job categories do people searching Contract Google Data Analyst jobs in Deerfield, IL look for? The top searched job categories for Contract Google Data Analyst jobs in Deerfield, IL are:
What cities near Deerfield, IL are hiring for Contract Google Data Analyst jobs? Cities near Deerfield, IL with the most Contract Google Data Analyst job openings:
Contract Google Data Analyst jobs near you
Infographic showing various Contract Google Data Analyst job openings in Deerfield, IL as of May 2026, with employment types broken down into 49% Full Time, and 51% Contract. Highlights an 59% In-person, and 41% Remote job distribution, with an average salary of $84,040 per year, or $40.4 per hour.

Senior Google Data (AI) Architect

Huntington

Chicago, IL

$69.25 - $92.75/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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