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Afternoon Google Data Analyst Jobs (NOW HIRING)

Data Scientist

Colorado Springs, CO · On-site

$155K - $190K/yr

Google Data Analytics Professional Certificate; IBM Data Science Professional Certification. Qualifications Minimum Experience: Citizenship: Must be a US citizen Clearance: Must have and be able to ...

Data Analyst

New York, NY · On-site

$66K - $75K/yr

Data and Analytics Job Subfunction: Data Science and Analytics MRM is part of the Omnicom Precision ... Google Tag Manager and running custom analytics reports using Google Analytics and Big Query ...

Data and Analytics Job Subfunction: Data Science and Analytics MRM is part of the Omnicom Precision ... Google Tag Manager and running custom analytics reports using Google Analytics and Big Query ...

Data Scientist

Colorado Springs, CO · On-site

$155 - $190/hr

Google Data Analytics Professional Certificate; IBM Data Science Professional Certification. Qualifications MinimumExperience: Citizenship: Must be a US citizen Clearance: Must have and be able to ...

New

... Google Cloud. · Experience working with ETL processes and data warehouses. · Knowledge of statistical analysis and predictive modeling. Technical Skills: · SQL · Microsoft Excel (Advanced) · ...

Use Python for data analysis, automation, and basic machine learning tasks. * Build predictive ... Familiarity with cloud platforms (AWS, Azure, or Google Cloud Platform) is a plus.

Advanced experience working with Google BigQuery or comparable cloud-based analytical databases. * Strong understanding of relational database design, data modeling, query optimization, and ETL/ELT ...

Data Analyst

Washington, DC · On-site

$75K - $85K/yr

Analysis and Writing: Collaborate with internal program staff to translate their needs into ... Experience creating dashboards - we use Google Data Studio and Hex, but we are platform agnostic ...

Analysis and Writing: Collaborate with internal program staff to translate their needs into ... Experience creating dashboards - we use Google Data Studio and Hex, but we are platform agnostic ...

Showing results 41-60

Afternoon Google Data Analyst information

See salary details

$34K

$82.6K

$136K

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

As of Aug 11, 2026, the average yearly pay for afternoon 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 Afternoon Google Data Analyst vs Morning Google Data Analyst?

AspectAfternoon Google Data AnalystMorning Google Data Analyst
Work HoursTypically works in the afternoon shift, e.g., 1 PM - 9 PMTypically works in the morning shift, e.g., 8 AM - 4 PM
CertificationsRequired: Google Data Analytics Certificate, SQL, Excel skillsRequired: Google Data Analytics Certificate, SQL, Excel skills
Work EnvironmentRemote or office-based, collaborative teamsRemote or office-based, collaborative teams
Industry UsageCommon in tech, finance, marketing sectors

The main difference between an Afternoon Google Data Analyst and a Morning Google Data Analyst lies in their work hours. Both roles require similar skills and certifications, and they often work in similar environments and industries. The choice depends on personal preference for working hours, with both positions offering opportunities in tech and data-driven sectors.

What cities are hiring for Afternoon Google Data Analyst jobs? Cities with the most Afternoon 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 Afternoon Google Data Analyst jobs? States with the most job openings for Afternoon Google Data Analyst jobs include:

Data Scientist

Apogee Engineering, LLC

Colorado Springs, CO • On-site

$155K - $190K/yr

Full-time

Re-posted 5 days ago


Job description

Overview
Apogee is seeking a Data Scientist (DS) to support the U.S. Army Space and Missile Defense Command (USASMDC). This role applies data science, statistics, and automation to mission analytics, helping operational and intelligence teams process large, complex datasets and convert them into actionable insights in support of space and missile defense priorities.
The Data Scientist partners with analysts and technical stakeholders to identify high-value analytic problems, engineer and curate datasets, and develop reproducible pipelines and models to automate workflows and enrich mission data. Responsibilities include data exploration and feature engineering; building and evaluating statistical/ML approaches (as appropriate); developing scripts, tools, and dashboards to support analysis and reporting; and communicating results through clear documentation and briefings. The DS also supports data governance and quality efforts, ensures methods are transparent and repeatable, and transitions solutions into operational use in coordination with Government leads and mission users.
This is a full-time opportunity at Petterson Space Force Base (PSFB), CO.
****Contingent Upon Contract Award****
Responsibilities
  • Demonstrate experience and knowledge of computer science concepts, data architecture, intelligence practices, and managing data in a big-data environment.
  • Demonstrate expert knowledge of Python, and Jupyter Notebooks and/or Jupyter Labs.
  • Author cogent and logical scripts using Python and other applicable languages in a virtual environment using common Integrated Development Environments (IDE) such as VS Code, Spyder, PyScript, or Jupyter Notebooks.
  • Develop and use advanced software programs, algorithms, query techniques, models to solve complex intelligence problems, and automated processes to normalize, integrate, and evaluate data.
  • Debug existing and future Python code; refactor legacy code to ensure continued security, functionality, and compatibility.
  • Document and block-comment all code to ensure recoverability and error-checking, and enhance reading, checking, and maintaining code in accordance with common data science and coding standards, such as PEP-8 for Python,5 or using style-guide features embedded in common IDE applications, such as Spyder, VS Code, PyScript or others upon approval by the Government.
  • Collaborate across multi-discipline teams to ensure connectivity between various data sources and business problems.
  • Identify meaningful insights, interpret, and communicate findings, plus make recommendations to stakeholders.
  • Analyze requirements and evaluate technologies for data science capabilities including Natural Language Processing, Machine Learning, predictive modeling, statistical analysis, and hypothesis testing.
  • Maintain awareness of emerging analytics and big-data technologies.
  • Complete required course NSA NETA1400 (Technology Fundamentals for Analysis); recommended completion of any of the following NSA Courses: NETA2402/NETA2108 (Analysis II), RPTG2238, RPTG2235, RPTG3225, RPTG3222 (Basic Analytical Reporting) or equivalent curriculum.
  • Complete recommended certifications: Data Science Council of America (DASCA) certifications, such as Associate Big Data Engineer (ABDE), Associate Big Data Analyst (ABDA), and Senior Data Scientist (SDS); Google Data Analytics Professional Certificate; IBM Data Science Professional Certification.

Qualifications
Minimum Experience:
Citizenship: Must be a US citizen
Clearance: Must have and be able to maintain a Top Secret (TS) with Sensitive Compartmented Information (SCI) adjudication
Education: Bachelors Degree
Years of Experience: 7+ years experience in data science/analytics engineering/software development in big-data environments.
Additional Experience:
  • Expert Python skills; heavy use of Jupyter Notebooks/Labs and common IDEs (e.g., VS Code/Spyder).
  • Proven ability to build and sustain automated data workflows (ingest/normalize/integrate/enrich/evaluate) using algorithms, queries, and models.
  • Strong SDLC skills: debugging, refactoring legacy code, and maintaining secure/compatible codebases.
  • Code quality discipline: clear documentation/block comments and adherence to PEP-8 (or equivalent style enforcement).
  • Working knowledge of data architecture and ability to collaborate across multi-discipline teams to connect data sources to mission problems.
  • Ability to communicate findings and recommendations to stakeholders.
  • Experience applying/evaluating ML/NLP, predictive modeling, and statistical methods (hypothesis testing).
  • NSA NETA1400 (Technology Fundamentals for Analysis) completion, or Government-approved equivalent.

Preferred Qualifications:
Additional Experience:
  • NSA courses: NETA2402/NETA2108 and/or RPTG2238/2235/3225/3222 (or equivalent).
  • Certifications: DASCA (ABDE/ABDA/SDS), Google Data Analytics, and/or IBM Data Science.
  • Experience transitioning prototypes into reusable, analyst-ready tools/pipelines and tracking emerging big-data/analytics tech.

Additional Information
Location: Petterson Space Force Base (PSFB), CO
On-site
Travel: 10%
Pay Range
USD $155,000.00 - USD $190,000.00 /Yr.