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Contract Google Data Analyst Jobs in Bloomington, IN

Adapts instruction using Excel, Google Sheets, SQL platforms, and visualization tools like Tableau ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Billing Analyst - Hybrid Remote

Bloomington, IN ยท Hybrid

$42.10K - $56.10K/yr

Maintains system load data and billing information databases; performs analysis related to loading, billing, tariff/contract, costs, settlement procedures, information exchange and other areas as ...

Billing Analyst - Hybrid Remote

Bloomington, IN ยท Hybrid

$42.10K - $56.10K/yr

Maintains system load data and billing information databases; performs analysis related to loading, billing, tariff/contract, costs, settlement procedures, information exchange and other areas as ...

Billing Analyst - Hybrid Remote

Bloomington, IN ยท Hybrid

$42.10K - $56.10K/yr

Maintains system load data and billing information databases; performs analysis related to loading, billing, tariff/contract, costs, settlement procedures, information exchange and other areas as ...

Billing Analyst - Hybrid Remote

Bloomington, IN ยท On-site +1

$42.10K - $56.10K/yr

Maintains system load data and billing information databases; performs analysis related to loading, billing, tariff/contract, costs, settlement procedures, information exchange and other areas as ...

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Contract Google Data Analyst information

See Bloomington, IN salary details

$31.4K

$76.4K

$125.8K

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 Bloomington, IN is $76,442.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,800.00 and $89,700.00 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 the most commonly searched types of Google Data Analyst jobs in Bloomington, IN? The most popular types of Google Data Analyst jobs in Bloomington, IN are:
What are popular job titles related to Contract Google Data Analyst jobs in Bloomington, IN? For Contract Google Data Analyst jobs in Bloomington, IN, the most frequently searched job titles are:
What job categories do people searching Contract Google Data Analyst jobs in Bloomington, IN look for? The top searched job categories for Contract Google Data Analyst jobs in Bloomington, IN are:
What cities near Bloomington, IN are hiring for Contract Google Data Analyst jobs? Cities near Bloomington, IN with the most Contract Google Data Analyst job openings:

Data Analyst Specialist

Banner Quality Management Inc

Crane, IN โ€ข On-site

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Data Analyst Position

Banner Quality Management Inc. (BQMI) is seeking a highly motivated Data Analyst to support the Corporate Business Office (CBO) at NSWC Crane. This position will focus on designing, developing, and implementing advanced data analytics, reporting solutions, and business intelligence tools to support program performance, cost management, and schedule tracking.

The ideal candidate will have strong expertise in data visualization, data architecture, business systems analysis, and process improvement, along with the ability to communicate complex technical information to diverse audiences.

Minimum Qualifications

  • Bachelor's degree in Data Analytics, Information Systems, Business, Engineering, or related field
  • 3โ€“5 years of relevant professional experience
  • Experience with Power BI, SQL, Excel, and database management
  • Strong analytical, documentation, and communication skills
  • Secret level Clearance required

Key Responsibilities

Business Intelligence & Dashboard Development

  • Design, develop, and implement a suite of Power BI dashboards to meet program and stakeholder requirements
  • Connect to authoritative data sources and migrate legacy Excel-based data into enhanced database solutions
  • Develop visualizations to track contract performance, cost, and schedule metrics
  • Identify and implement automation opportunities to streamline data processing workflows
  • Create and document standardized dashboard development and delivery processes

Systems & Tools Management

  • Oversee and manage CBO systems and tools including:
  • User and customer management systems
  • Data repositories and databases
  • Dashboards and reporting tools
  • Collaboration platforms (e.g., SharePoint)
  • Communication and social media tools
  • Perform system upgrades and enhancements to improve capability and efficiency
  • Provide user support and interface assistance
  • Develop and deliver training related to business systems and tools

Data Strategy & Architecture Support

  • Support NSWC Crane's data strategy initiatives, particularly in data architecture
  • Develop white papers, conceptual/logical data models, and business systems analyses
  • Provide recommendations on data standards, policies, and integration methods
  • Assist in infrastructure and systems assessments
  • Support predictive modeling, statistical simulation, and machine learning initiatives
  • Help transition of data science models into continuous production systems

Business Systems Development & Lifecycle Management

  • Develop, configure, or enhance business tools and systems based on defined requirements
  • Manage full data lifecycle processes for reporting and analytics solutions
  • Develop reporting databases using tools such as Excel, Access, SQL/.NET, and ERP-integrated systems
  • Produce documentation including architecture diagrams, process definitions, user instructions, and training materials
  • Conduct or oversee training for new and enhanced tools and processes

Data Analysis & Performance Reporting

  • Collect, analyze, and report performance-related data
  • Apply statistical techniques for process and cost analysis
  • Identify cost reductions and efficiency improvements
  • Support planning, execution, and reporting of cost, schedule, and performance metrics
  • Provide written analyses and recommendations for Government review and decision-making

Technical Documentation & Communication

  • Prepare, review, and maintain process, technical, quality, systems, and user documentation
  • Write for technical and non-technical audiences
  • Gather and analyze product and system information to document new or changing capabilities
  • Develop innovative documentation methods such as video tutorials, demos, and digital guides
  • Collaborate with teams to produce user guides, tutorials, training materials, and procedural documentation

Preferred Skills

  • Experience working with ERP systems and authoritative data sources
  • Familiarity with data modeling methodologies and statistical analysis techniques
  • Knowledge of automation tools and workflow optimization
  • Experience supporting government or DoD environments (preferred)

Key Competencies

  • Analytical thinking and problem-solving
  • Process improvement mindset
  • Strong written and verbal communication skills
  • Ability to manage multiple systems and priorities
  • Detail-oriented with strong documentation skills