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Weekday Google Data Analyst Jobs (NOW HIRING)

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 ...

Sulekha.com New Media Pvt Ltd

Data Analyst

Easley, SC · On-site

And currently I'm working Google data analyst certification. I will be done with certification in 2 weeks My Skill Set * SQL * Data Cleansing * R Programming My Qualifications and Preferences Job ...

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 ...

Netpace Inc

IN DWD - Data Analyst

Indianapolis, IN · On-site

... 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 ...

Shine United

Data Analyst

Madison, WI · On-site

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

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

As of Sep 6, 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.

Is Weekday Google Data Analyst still relevant in 2026?

The role of a Google Data Analyst remains relevant in 2026 as data analysis and interpretation continue to be vital for business decision-making. Proficiency in tools like Google Analytics, SQL, and data visualization software will be important for success in this field.

What cities are hiring for Weekday Google Data Analyst jobs?

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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:

Weekday Google Data Analyst jobs near you

Data Analyst

STI

Indianapolis, IN • On-site

Full-time

Re-posted 15 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.

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