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Google Data Analyst Jobs (NOW HIRING)

TLA-LLC

Data Analyst

Mclean, VA · On-site

Power BI Data Analyst Associate • Google Data Analytics Professional Certificate • Certified Analytics Professional (CAP) AWS Certified Data Analytics - Specialty (for roles involving cloud ...

TLA-LLC

Data Analyst

Mclean, VA

Power BI Data Analyst Associate Google Data Analytics Professional Certificate Certified Analytics Professional (CAP) AWS Certified Data Analytics - Specialty (for roles involving cloud platforms ...

STI

Data Analyst

Indianapolis, IN · On-site

Data Analyst is responsible for collecting, processing, and analyzing data to help make data-driven ... Experience with data visualization tools like Tableau, Power BI, or Google Data Studio. Strong ...

InterSources

Google Data Analytics Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Google Data Analytics Engineer Job Location: Phoenix, AZ OR Charlotte, NC (Day 1 onsite) Job Type: Contract Job Responsibilities: * Developing comprehensive site tagging & tracking data capture ...

LG Electronics

Network Data Analyst

Huntsville, AL

The Network Data Analyst will act as the primary point of contact for managing and optimizing data ... Utilize business intelligence tools such as Tableau, Google Data Studio, and Google Sheet to ...

Staffingine LLC

DWD - Data Analyst

Indianapolis, IN · On-site

Experience with data visualisation tools like Tableau, Power BI, or Google Data Studio. * Strong analytical and problem-solving skills. * Excellent communication and presentation abilities. * Ability ...

Air Apps

Data Analyst

San Francisco, CA · On-site

$104K - $184K/yr

This role requires a data-driven mindset, strong analytical skills, and experience with ... Experience with Google Analytics, Mixpanel, Amplitude, or similar user analytics tools . * Strong ...

Judge Group, Inc.

GOOGLE Data Architect

Columbus, OH · Remote

$75 - $85/hr

Architect data platforms supporting analytics, operational, and AI/ML workloads * Develop data ... Strong experience with Google Cloud Platform tools (BigQuery, Pub/Sub, Dataflow, Bigtable, GKE, etc.

WORKSIMPLI SOFTWARE LLC

PR · On-site

$45K - $55K/yr

Experience with Google Analytics , Mixpanel , or similar web/product analytics platforms. * Ability to translate complex data into clear insights and actionable recommendations. * Excellent ...

LG Electronics

Network Data Analyst

Huntsville, AL · On-site

$69K - $73K/yr

The analyst will partner closely with cross-functional teams to develop, calculate, and analyze ... Utilize business intelligence tools such as Tableau, Google Data Studio, and Google Sheet to ...

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How much do google data analyst jobs pay per year?

As of Jun 7, 2026, the average yearly pay for 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.

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.

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.

More about Google Data Analyst jobs
What cities are hiring for Google Data Analyst jobs? Cities with the most 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 Google Data Analyst jobs? States with the most job openings for Google Data Analyst jobs include:
What job categories do people searching Google Data Analyst jobs look for? The top searched job categories for Google Data Analyst jobs are:
Google Data Analyst jobs near you
Infographic showing various Google Data Analyst job openings in the United States as of May 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Analyst

TLA-LLC

Mclean, VA • On-site

Full-time

Posted 18 days ago

Job description

TLA is seeking a detail-oriented and analytical Data Analyst to transform complex data sets into actionable business insights. The ideal candidate will be responsible for the full lifecycle of data analysis, including data collection, cleaning, interpretation, and presentation of findings to stakeholders to drive strategic decision-making across the organization.
Key Responsibilities:
  • Data Collection & Management: Collect data from primary and secondary sources, and maintain databases and data systems to ensure accuracy and integrity.
  • Data Cleaning & Preparation: Clean, filter, and transform raw data to remove inconsistencies and prepare it for analysis, ensuring high data quality.
  • Statistical Analysis: Apply appropriate statistical methods and techniques to interpret data, analyze trends, and identify patterns and correlations that provide valuable business insights.
  • Reporting & Visualization: Develop and maintain reports, interactive dashboards, and Key Performance Indicators (KPIs) using data visualization tools to communicate findings in an understandable format for non-technical stakeholders.
  • Problem Solving: Collaborate with cross-functional teams (e.g., Marketing, Finance, Operations) to understand business requirements, define analytical needs, and provide data-driven recommendations to solve complex problems and improve processes.
  • Documentation: Create clear and concise documentation of data sources, analysis processes, and results to ensure reproducibility and transparency.
  • Process Improvement: Identify and implement opportunities to automate and streamline data collection and reporting processes for improved efficiency.

Required Skills and Experience:
• Proficiency in SQL: Essential for querying and managing data in relational databases, including advanced functions like joins and aggregations.
• Strong Excel Skills: Advanced proficiency with spreadsheet software, including pivot tables, VLOOKUP/INDEX-MATCH, and complex formulas for data manipulation and quick analysis.
• Programming Languages: Experience with statistical programming languages such as Python (using libraries like Pandas, NumPy, and Matplotlib) or R for complex analysis and automation.
• Data Visualization Tools: Hands-on experience with Business Intelligence (BI) and data visualization platforms (Tableau or Microsoft Power BI preferred).
• Statistical Knowledge: Solid understanding of statistical concepts, including hypothesis testing, regression analysis, and A/B testing.
Soft Skills
• Analytical and Critical Thinking: The ability to logically approach complex problems, ask the right questions, and evaluate data objectively.
• Communication Skills: Excellent written and verbal communication skills, with the ability to translate technical findings into clear, compelling narratives for diverse audiences.
• Attention to Detail: Meticulous attention to detail to ensure the accuracy and reliability of data and analysis.
• Problem-Solving Abilities: A proactive mindset to troubleshoot data issues and find innovative solutions.
• Collaboration: Strong interpersonal skills and the ability to work effectively within a team environment and with various stakeholders.
Experience and Education
Bachelor's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or a related discipline.
Preferred Certifications and Qualifications:
While not required, the following certifications are a plus:
• Microsoft Certified: Power BI Data Analyst Associate
• Google Data Analytics Professional Certificate
• Certified Analytics Professional (CAP)
AWS Certified Data Analytics - Specialty (for roles involving cloud platforms)
Requirements
Preferred Certifications and Qualifications:
While not required, the following certifications are a plus:
• Microsoft Certified: Power BI Data Analyst Associate
• Google Data Analytics Professional Certificate
• Certified Analytics Professional (CAP)
AWS Certified Data Analytics - Specialty (for roles involving cloud platforms)

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