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Weekday Google Data Analyst Jobs (NOW HIRING)

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

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

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 ...

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 ...

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 ...

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 ...

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.

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 ...

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 weekday google data analyst jobs pay per year?

As of Jun 7, 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

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)