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Google Data Analytics Professional Certificate Jobs

HeiTech Services

Senior Data Analyst

Falls Church, VA · On-site

$91K - $115K/yr

Relevant data analytics certification, such as Certified Analytics Professional, Google Data Analytics Professional, Microsoft, Tableau, AWS, or a comparable industry-recognized certification. * At ...

Google Inc.

Knowledge of trends, products, and solutions in Cloud and Data and Analytics (BigQuery, Looker, Dataproc, Pub/Sub), including experience with data analytics technology stack. About the job The Google ...

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How much do google data analytics professional certificate jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for google data analytics professional certificate in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

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Infographic showing various Google Data Analytics Professional Certificate job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, and 5% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.

Data Scientist - GEOINT Analysis

Colorado Springs, CO • On-site

Assertive Professionals
Guided Missile and Space Vehicle Manufacturing • 11 - 50 employees
Learn more about Assertive Professionalsexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago

Key responsibilities

  • Conduct data science functions on structured and unstructured data to support intelligence analysis and production.

  • Develop, maintain, and debug Python code and scripts to support mission requirements.

  • Identify insights from data, interpret findings, and communicate recommendations to stakeholders.

Job description

Assertive Professionals is seeking a Data Scientist supporting our National Security customer in Colorado Springs, CO.

This is a proposed position, we are offering a salary of $160,000 with a $2,000 sign-on bonus, or reimbursable relocation.

This is a great opportunity to work for an employee-centric, fast-growing small business. We offer an excellent benefits package, including PTO (accrual rates vary by contract and customer requirements), 401(k) Match at 5%, Profit Sharing, Company-paid Life Insurance, Dental, Vision, STD/LTD, and two options under a national medical plan with employee contribution.There is an additional $1,200 annual corporate bonus for time and attendance compliance!

Responsibilities Include:

This position is responsible for conducting data science functions on structured and unstructured data to streamline intelligence analysis and production. The data scientist will work to enrich analytical results and will develop and maintain Python code in support of mission requirements.

Required Experience and Qualifications:

  • TS/SCI w/ CI Poly
  • 7 years of relevent experience
  • 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 JupyterLabs.
  • 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, querytechniques, 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.

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