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Google Data Analyst Jobs in Renton, WA (NOW HIRING)

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$38.2K

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How much do google data analyst jobs pay per year?

As of May 29, 2026, the average yearly pay for google data analyst in Renton, WA is $92,956.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,300.00 and $109,100.00 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.
More about Google Data Analyst jobs
What job categories do people searching Google Data Analyst jobs in Renton, WA look for? The top searched job categories for Google Data Analyst jobs in Renton, WA are:
What cities near Renton, WA are hiring for Google Data Analyst jobs? Cities near Renton, WA with the most Google Data Analyst job openings:
Google Data Analyst jobs near you
Infographic showing various Google Data Analyst job openings in Renton, WA as of May 2026, with employment types broken down into 34% Full Time, 62% Part Time, 2% Temporary, and 2% Contract. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $92,956 per year, or $44.7 per hour.

Senior Data and Reporting Analyst, Total Rewards

Crusoe

Bellevue, WA • On-site

$96.50K - $121.80K/yr

Full-time

Posted 15 days ago

Job description

Job Summary:
Crusoe is on a mission to accelerate the abundance of energy and intelligence, operating as a vertically integrated AI infrastructure company. The Senior Data & Reporting Analyst will be responsible for transforming complex datasets into clear insights, developing financial models, and automating workflows to enhance the Total Rewards team's efficiency.
Responsibilities:
• Become a deep subject matter expert in reporting across our HCM, compensation, and benefits platforms (e.g., Workday, Radford/WTW, market pricing tools, benefits administration systems)
• Own the design, development, and maintenance of dashboards and recurring reports that surface Total Rewards data for HR, Finance, and business partners
• Partner with HR Systems and IT to improve data quality, integrations, and reporting infrastructure
• Build and maintain financial models to support compensation planning cycles, benefits cost analysis, merit and equity budgeting, and headcount forecasting
• Conduct benchmarking analyses using survey data and internal pay data to support compensation reviews and program design decisions
• Handle and safeguard sensitive employee data with the highest degree of discretion and compliance
• Proactively identify manual, repetitive workflows and build automated solutions to replace them
• Develop or contribute to AI-enabled tools that improve team efficiency — whether that's prompt-based workflows, LLM-assisted data parsing, or intelligent reporting triggers
• Translate complex data into clear narratives and recommendations for non-technical stakeholders
• Support ad hoc analytical requests from Total Rewards, HR leadership, and Finance
• Document methodologies, data dictionaries, and model logic to ensure reproducibility and knowledge sharing
Qualifications:
Required:
• 3–7 years of experience in a data, analytics, financial modeling, or systems-focused role (Total Rewards experience a plus, not a requirement)
• Advanced proficiency in Excel/Google Sheets — you can build complex models from scratch without hand-holding
• Experience building dashboards and visualizations in tools like Tableau, Power BI, Looker, or similar
• Demonstrated ability to work with large, sensitive datasets with accuracy and discretion
• Strong analytical instincts — you can spot what the data is really saying, not just what was asked
• You'll be working with some of the most sensitive and strategically important data in the company
• You'll have real creative latitude to build new tools and processes — not just maintain existing ones
• You'll partner closely with senior Total Rewards leaders and have visibility into compensation and benefits strategy
• This is a role where strong technical work directly translates to business impact
Preferred:
• Experience with HCM platforms (Workday strongly preferred) and their reporting/analytics layers
• Hands-on experience building AI-enabled tools or workflows — whether using APIs, LLMs, low-code platforms, or custom scripts
• Proficiency in Python, SQL, or R for data manipulation and automation
• Familiarity with compensation or benefits data structures, even if not in a dedicated Comp/Benefits role
• Experience with compensation survey tools (Radford, WTW, Mercer, etc.) a plus
Company:
Crusoe is a vertically integrated AI infrastructure company that builds and operates data centers powered by energy sources. Founded in 2018, the company is headquartered in Denver, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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