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Microsoft Certified Data Analyst Associate Jobs

Data Scientist

Fredericksburg, VA · On-site

$60 - $70/hr

Microsoft Certified: Data Scientist Associate or Azure AI Engineer * Google Professional Data Engineer or AWS Certified Data Analytics - Specialty * Certified Analytics Professional (CAP) - INFORMS

$60 - $80/hr

Relevant certifications (e.g., Microsoft Certified: Data Analyst Associate) are a plus. EOE/M/F/VET/DISABLED All qualified applicants will receive consideration without regard to race, color ...

New

$80 - $100/hr

Relevant certifications (e.g., Microsoft Certified: Data Analyst Associate) are a plus. EOE/M/F/VET/DISABLED All qualified applicants will receive consideration without regard to race, color ...

DATA ANALYST - 48001093

Tallahassee, FL · On-site

$60K - $65K/yr

Relevant certifications (e.g., Google Data Analytics Certificate, IBM Data Analyst Certificate, Microsoft Certified: Data Analyst Associate) * Familiarity with Apex * Graduate degree and experience ...

DATA ANALYST - 48001093

Tallahassee, FL · On-site

$60K - $65K/yr

Relevant certifications (e.g., Google Data Analytics Certificate, IBM Data Analyst Certificate, Microsoft Certified: Data Analyst Associate) * Familiarity with Apex * Graduate degree and experience ...

NY · On-site

$60 - $80/hr

Data Analyst Associate (Power Bi). * Optional But Valuable: Microsoft Certified: Azure Administrator Associate (Powershell) Maximum Salary (US): 70000 Minimum Salary (US): 60000 Why HCLTech? At ...

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Microsoft Certified Data Analyst Associate information

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$34K

$82.6K

$136K

How much do microsoft certified data analyst associate jobs pay per year?

As of Sep 9, 2026, the average yearly pay for microsoft certified data analyst associate 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 a Microsoft Certified Data Analyst Associate?

A Microsoft Certified Data Analyst Associate is a professional who has demonstrated expertise in using Microsoft Power BI to help organizations maximize the value of their data assets. This certification validates the ability to prepare, model, visualize, and analyze data, as well as deploy solutions to enable business decision-making. Individuals with this certification are skilled in transforming raw data into actionable insights and are often involved in data-driven projects within various industries.

What are the key skills and qualifications needed to thrive as a Microsoft Certified Data Analyst Associate, and why are they important?

To thrive as a Microsoft Certified Data Analyst Associate, you need strong analytical skills, proficiency in data visualization, and a solid understanding of data modeling, typically supported by the Microsoft Certified: Data Analyst Associate certification. Expertise in tools such as Microsoft Power BI, Excel, and experience with databases like SQL Server are commonly required. Excellent communication, problem-solving abilities, and attention to detail help you translate data insights into actionable business recommendations. These skills are essential to effectively analyze complex datasets, create meaningful reports, and drive data-informed decision-making within organizations.

How does a Microsoft Certified Data Analyst Associate typically collaborate with other departments within an organization?

A Microsoft Certified Data Analyst Associate often works closely with teams such as IT, marketing, finance, and operations to gather data requirements, align business objectives, and deliver actionable insights. This role involves frequent meetings to understand departmental needs, sharing dashboards and reports, and ensuring data-driven decisions are supported across the organization. Effective communication and the ability to translate technical findings into business terms are key to successful collaboration. Additionally, data analysts may participate in cross-functional projects, contributing their expertise to help solve business challenges and optimize processes.

What is the difference between Microsoft Certified Data Analyst Associate vs Data Analyst?

AspectMicrosoft Certified Data Analyst AssociateData Analyst
CertificationsMicrosoft Certified Data Analyst AssociateTypically none or various certifications
Work EnvironmentBusiness intelligence, data visualization, reportingData collection, analysis, reporting across industries
SkillsPower BI, data modeling, data cleaningExcel, SQL, data interpretation
Industry UsageBusiness intelligence, analytics teamsVarious sectors including finance, marketing, healthcare

The Microsoft Certified Data Analyst Associate is a specialized certification focusing on Power BI and data visualization, often required for roles in business intelligence. A Data Analyst may or may not hold certifications but generally performs broader data analysis tasks across multiple tools and industries. The certification can enhance job prospects for data analysts seeking to specialize in Microsoft tools.

What is the salary of Microsoft Certified Data Analyst Associate?

The salary of a Microsoft Certified Data Analyst Associate typically ranges from $60,000 to $90,000 annually, depending on experience, location, and industry. Certified professionals with skills in Power BI, data visualization, and data analysis tools are in demand across various organizations.

What are popular job titles related to Microsoft Certified Data Analyst Associate jobs?

For Microsoft Certified Data Analyst Associate jobs, the most frequently searched job titles are:

Infographic showing various Microsoft Certified Data Analyst Associate job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Scientist

Fredericksburg, VA • On-site

RecruitTalent LLC.
IT Services • 1 - 10 employees

$60 - $70/hr

Contractor

Re-posted 13 days ago


Job description

General Responsibilities:

  • Design and implement data pipelines, analytics models, and machine-learning solutions to support process automation and predictive decision-making.
  • Collect, clean, and validate structured and unstructured data from multiple enterprise systems, ensuring data quality and integrity.
  • Perform statistical analysis, forecasting, and pattern recognition to identify process improvement opportunities.
  • Develop interactive dashboards and visualizations using tools like Power BI or Tableau for real-time performance tracking.
  • Collaborate with Solution Architects and Business Analysts to integrate data insights into workflow automation and digital solutions.
  • Support the creation and enforcement of data governance, metadata, and access-control frameworks in coordination with cybersecurity policies.
  • Evaluate and deploy AI/ML models (e.g., classification, regression, clustering, NLP) within automation and decision-support platforms.
  • Implement ETL processes and maintain scalable data storage on cloud platforms such as AWS, Azure, or GCP.
  • Provide technical documentation, data dictionaries, and model explainability reports for audit and compliance purposes.
  • Support training and knowledge transfer, enabling end users to interpret and leverage analytical insights.

Minimum Qualifications:

  • Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Engineering, or related discipline.
  • Experience:
    • 5–8 years of experience in data analytics, machine learning, or AI model deployment.
    • Proven success designing analytical solutions for IT modernization, automation, or enterprise transformation projects.
    • Experience working with large, complex datasets and applying data-driven methods to improve business or operational performance.

Technical Expertise:

  • Programming & Analysis: Python, R, SQL, Power Query, or PySpark.
  • Machine Learning & AI: scikit-learn, TensorFlow, Keras, or PyTorch.
  • Data Visualization: Power BI, Tableau, Matplotlib, or Plotly.
  • Data Engineering: ETL tools, APIs, REST services, and cloud data storage (AWS S3, Azure Data Lake, GCP BigQuery).
  • Statistics & Modeling: Regression, time-series forecasting, clustering, and anomaly detection.
  • Governance & Security: Familiarity with NIST data-handling standards, FedRAMP compliance, and secure data pipelines.

Preferred Certifications:

  • Microsoft Certified: Data Scientist Associate or Azure AI Engineer
  • Google Professional Data Engineer or AWS Certified Data Analytics – Specialty
  • Certified Analytics Professional (CAP) – INFORMS
  • Lean Six Sigma Green Belt (for data-driven process improvement)
  • Power BI Data Analyst Associate