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Weekday Google Data Analyst Jobs (NOW HIRING)

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 ...

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 ...

Experience with data visualization platforms like Tableau, Power BI, or Google Data Studio. * Strong understanding of statistical analysis and data modeling. * Excellent problem-solving skills and ...

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 ...

Google Data Specialist

Des Moines, IA · On-site

$70K - $196K/yr

You Are A hands-on Specialist with foundational experience in Data Engineering, Analytics, or Machine Learning-now building deep expertise in Google Cloud Platform (GCP). You are eager to apply ...

Google Data Specialist

Chicago, IL · On-site

$70K - $196K/yr

You Are A hands-on Specialist with foundational experience in Data Engineering, Analytics, or Machine Learning-now building deep expertise in Google Cloud Platform (GCP). You are eager to apply ...

You Are A hands-on Specialist with foundational experience in Data Engineering, Analytics, or Machine Learning-now building deep expertise in Google Cloud Platform (Google Cloud Platform). You are ...

New

Google Data Specialist

Mountain View, CA · On-site

$70K - $196K/yr

You Are A hands-on Specialist with foundational experience in Data Engineering, Analytics, or Machine Learning-now building deep expertise in Google Cloud Platform (GCP). You are eager to apply ...

Experience with tag management systems (Google Tag Manager preferred). * Experience with data ... Experience with server-side analytics platforms. * Exposure to marketing mix modeling or advanced ...

Google Data Specialist

Bentonville, AR · On-site

$70K - $196K/yr

You Are A hands-on Specialist with foundational experience in Data Engineering, Analytics, or Machine Learning-now building deep expertise in Google Cloud Platform (GCP). You are eager to apply ...

Google Data Specialist

Pittsburgh, PA · On-site

$70K - $196K/yr

You Are A hands-on Specialist with foundational experience in Data Engineering, Analytics, or Machine Learning-now building deep expertise in Google Cloud Platform (GCP). You are eager to apply ...

Experience with tag management systems (Google Tag Manager preferred). * Experience with data ... Experience with server-side analytics platforms. * Exposure to marketing mix modeling or advanced ...

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Weekday Google Data Analyst information

See salary details

$34K

$82.6K

$136K

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

As of Aug 16, 2026, the average yearly pay for weekday 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 is the difference between Weekday Google Data Analyst vs Weekday Data Scientist?

AspectWeekday Google Data AnalystWeekday Data Scientist
Required CredentialsBachelor's in Data Analysis, Statistics, or related field; Google certificationsBachelor's or Master's in Data Science, Computer Science, or related; advanced certifications
Work EnvironmentData analysis, reporting, dashboards within Google toolsModel development, complex analysis, machine learning projects
Employer & Industry UsagePrimarily in tech, marketing, and e-commerce companies using Google platforms

Weekday Google Data Analysts focus on interpreting data, creating reports, and supporting decision-making using Google tools. In contrast, Weekday Data Scientists handle advanced modeling, machine learning, and predictive analytics. Both roles require strong analytical skills and familiarity with data tools, but Data Scientists typically have more technical expertise and work on complex algorithms.

What cities are hiring for Weekday Google Data Analyst jobs?

Cities with the most Weekday 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 Weekday Google Data Analyst jobs?

States with the most job openings for Weekday Google Data Analyst jobs include:

Data Analyst

STI

Indianapolis, IN • On-site

Full-time

Re-posted 24 days ago


Job description

Data Analyst is responsible for collecting, processing, and analyzing data to help make data-driven decisions. This role involves working with large datasets, identifying trends, creating reports, and providing actionable insights to stakeholders.
Job Summary:
The Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make data-driven decisions. This role involves working with large datasets, identifying trends, creating reports, and providing actionable insights to stakeholders.
Key Responsibilities:
Gather, clean, and organize large datasets from various sources.
Validate and verify data accuracy, consistency, and completeness across various data sources.
Identify and resolve data discrepancies, inconsistencies and errors.
Performa routine and ad hoc data quality checks using automated and manual validation techniques.
Work closely with data entry teams and other analysts and stakeholders to ensure data integrity.
Perform data analysis to identify trends, patterns, and correlations.
Develop reports, dashboards, and visualizations using tools like Excel, SQL, Tableau, or Power BI.
Collaborate with cross-functional teams to support business objectives.
Interpret data to provide strategic recommendations and business insights.
Ensure data accuracy and integrity.
Use statistical techniques and predictive modeling to improve decision-making.
Document processes and methodologies for data collection and analysis.
Required Skills & Qualifications:
Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field.
Proficiency in data analysis tools such as SQL, Python, R, or Excel.
Experience with data visualization tools like Tableau, Power BI, or Google Data Studio.
Strong analytical and problem-solving skills.
Excellent communication and presentation abilities.
Ability to work independently and in a team-oriented environment.
Attention to detail and a strong understanding of data governance principles.
Preferred Qualifications:
Experience in machine learning, predictive modeling, or statistical analysis.
Knowledge of database management and ETL (Extract, Transform, Load) processes.
Familiarity with cloud platforms such as AWS, Google Cloud, or Azure.