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Microsoft Data Analyst Jobs (NOW HIRING)

While not required, the following certifications are a plus: • Microsoft Certified: Power BI Data ... Power BI Data Analyst Associate • Google Data Analytics Professional Certificate • Certified ...

Data Analyst 1) Data acquisition from all applicable systems 2) Gather requirements for Forms and ... Microsoft Word, Microsoft Excel, Microsoft PowerPoint Experience with SAS, Statstica and JMP ...

The Data Analyst supports the planning and execution of data migration and data quality activities for a large-scale Microsoft-based modernization initiative. Working under the direction of the Data ...

Data Analyst Job Location: Quantico, Virginia Overview: Zigabyte is seeking a mid-level data ... Major Duties & Responsibilities: • Assist with customer requirements for IBM Cognos and Microsoft ...

Data Analyst Location: Phoenix, AZ Type: Direct Hire Company located in Phoenix, AZ has an ... SQL Server, MCSE Data Platform, MCSE. 2) Advanced knowledge of Microsoft office toolset (Word ...

Data Analyst Job Location: Quantico, Virginia Overview: Zigabyte is seeking a mid-level data ... Major Duties & Responsibilities: Assist with customer requirements for IBM Cognos and Microsoft ...

Data Analyst 1) Data acquisition from all applicable systems 2) Gather requirements for Forms and ... Microsoft Word, Microsoft Excel, Microsoft PowerPoint Experience with SAS, Statstica and JMP ...

The Data Analyst (SQL) will be primarily responsible for the following: * Integrate data from ... Must be proficient with Microsoft SQL Server and SQL Reporting Services, Microsoft Excel, Microsoft ...

Implement and support Microsoft Fabric solutions, including Lakehouse architectures, data pipelines ... Bachelor's degree in Business Analytics, Data Analytics, Information Systems, Computer Science ...

Implement and support Microsoft Fabric solutions, including Lakehouse architectures, data pipelines ... Bachelor's degree in Business Analytics, Data Analytics, Information Systems, Computer Science ...

Data Analyst Job Location: Quantico, Virginia Overview: Zigabyte is seeking a mid-level data ... Major Duties & Responsibilities: Assist with customer requirements for IBM Cognos and Microsoft ...

Implement and support Microsoft Fabric solutions, including Lakehouse architectures, data pipelines ... Bachelor's degree in Business Analytics, Data Analytics, Information Systems, Computer Science ...

SQL Server, MCSE Data Platform, MCSE. 2) Advanced knowledge of Microsoft office toolset (Word, Project, Excel, and PowerPoint required, Visio preferre Qualifications Required Skills: 1) Data analysis ...

Data Analyst

Washington, DC · On-site

$39 - $42/hr

Key Responsibilities • Analyze and manage data using advanced data analysis and datamining techniques. • Develop reports, visualizations, and dashboard applications using Microsoft Power BI and ...

Job Overview: The Data Analyst will enter data and prepare various reports using MicroSoft Office Suite. Key Responsibilities: * Retrieves source files and work from the data center each day.

Position: Data Analyst Location: Newark NJ Duration: 1 year Provide analytical and functional ... Excellent Microsoft Excel skills required. High level of Microsoft Access skills required. Must ...

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Microsoft Data Analyst information

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$34K

$82.6K

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How much do microsoft data analyst jobs pay per year?

As of Jun 21, 2026, the average yearly pay for microsoft 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.

How much does Microsoft pay a data analyst?

Microsoft Data Analysts typically earn an average salary ranging from $70,000 to $100,000 annually, depending on experience, location, and specific role responsibilities. Entry-level positions may start lower, while experienced analysts with certifications and advanced skills can earn higher salaries. Compensation often includes benefits such as bonuses, stock options, and health insurance.

What qualifications do I need to be a data analyst?

To become a Microsoft Data Analyst, candidates typically need a bachelor's degree in fields like data science, statistics, or computer science. Proficiency in tools such as Excel, SQL, and Power BI, along with strong analytical and problem-solving skills, is essential. Certifications like Microsoft Certified Data Analyst Associate can also enhance job prospects.

Does Microsoft hire a data analyst?

Microsoft hires data analysts to support data-driven decision-making across various departments. These roles typically require skills in data visualization, SQL, and tools like Excel or Power BI, and may involve working with large datasets and analytics projects. Job openings can be found on Microsoft's careers website and often require relevant experience and certifications.

What is a Microsoft Data Analyst job?

A Microsoft Data Analyst is responsible for collecting, analyzing, and interpreting data using Microsoft tools like Excel, Power BI, SQL Server, and Azure data services. They help organizations make data-driven decisions by creating reports, dashboards, and data models. Their role often involves cleaning and transforming raw data into meaningful insights, identifying trends, and optimizing business processes. Strong analytical skills, proficiency in Microsoft data tools, and knowledge of data visualization techniques are essential for success in this role.

What are the key skills and qualifications needed to thrive in the Microsoft Data Analyst position, and why are they important?

To thrive as a Microsoft Data Analyst, you should have strong analytical skills, experience in data modeling, and a background in statistics or a related field, often supported by a relevant degree. Proficiency with Microsoft Power BI, Excel, SQL, and possibly Azure data services or a Microsoft Certified: Data Analyst Associate certification is highly valued. Effective problem-solving abilities, attention to detail, and strong communication skills help you translate complex data into actionable insights for stakeholders. These competencies ensure accurate data analysis, clear reporting, and effective collaboration within dynamic business environments.

Is data analyst still relevant in 2026?

Data analysts will continue to be relevant in 2026 as organizations increasingly rely on data-driven decision-making. Skills in tools like Excel, SQL, and data visualization software remain essential, and the role is expected to evolve with advancements in automation and artificial intelligence.

What does a typical day look like for a Microsoft Data Analyst?

A typical day for a Microsoft Data Analyst often involves gathering and validating data from various sources, building and updating dashboards in Power BI or Excel, and collaborating with team members to understand business needs. You will likely spend time conducting in-depth analyses to uncover patterns and trends, preparing data visualizations, and presenting actionable recommendations to stakeholders. Regular meetings with cross-functional teams are common, as your insights help guide strategic decision-making. Additionally, continual self-learning and problem-solving are part of the role, since you'll frequently encounter new business challenges and data questions.

More about Microsoft Data Analyst jobs
What cities are hiring for Microsoft Data Analyst jobs? Cities with the most Microsoft Data Analyst job openings:
What are the most commonly searched types of Microsoft Data Analyst jobs? The most popular types of Microsoft Data Analyst jobs are:
What states have the most Microsoft Data Analyst jobs? States with the most job openings for Microsoft Data Analyst jobs include:
Infographic showing various Microsoft Data Analyst job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 78% In-person, 11% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Analyst

TLA-LLC

Mclean, VA • On-site

Full-time

Posted 2 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)