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Masters In Business Analytics Jobs in Seattle, WA

You will play a role in shaping the next generation of AI-powered BI solutions , leveraging ... Business Analytics IC4 - The typical base pay range for this role across the U.S. is USD $106,400 ...

... analytics skills in business scenarios focusing on insights, trends, and opportunities Experience working with ComScore data highly preferred Experience doing competitive analytics highly preferred ...

The leader will challenge and rethink in an AI-native way both how we engineer & deliver those ... Master's Degree in Mathematics, Analytics, Engineering, Computer Science, Marketing, Business ...

A day in the life * Data Subject Matter Expertise (SMEship): Serves as the primary source for data ... Ad Hoc Business Analytics: Provides on-demand analytical support for leadership reviews, product ...

Bachelor's degree * 2+ years of professional experience in business analytics, consulting, market research, or growth operations * 1+ years of experience with SQL and creating/managing dashboards ...

Bachelor's degree * 2+ years of professional experience in business analytics, consulting, market research, or growth operations * 1+ years of experience with SQL and creating/managing dashboards ...

Business Analyst II , FBA Analytics

Bellevue, WA · On-site

$79K - $100K/yr

A day in the life * Data Subject Matter Expertise (SMEship): Serves as the primary source for data ... Ad Hoc Business Analytics: Provides on-demand analytical support for leadership reviews, product ...

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How much do masters in business analytics jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for masters in business analytics in Seattle, WA is $43.99, according to ZipRecruiter salary data. Most workers in this role earn between $29.57 and $55.00 per hour, depending on experience, location, and employer.

What is a Masters in Business Analytics?

A Masters in Business Analytics is a graduate-level degree that focuses on teaching students how to analyze and interpret complex business data to support decision-making. The program typically covers subjects such as statistics, data mining, predictive analytics, machine learning, and business strategy. Graduates are equipped with both technical and business skills, making them valuable assets for organizations looking to leverage data for competitive advantage. Careers after this degree include data analyst, business analyst, and data scientist roles in various industries.

What are the key skills and qualifications needed to thrive with a Masters in Business Analytics?

To thrive with a Master's in Business Analytics, you need strong analytical abilities, statistical knowledge, and a solid understanding of business fundamentals, typically supported by an advanced degree in analytics or a related field. Proficiency in data analysis tools like Python, R, SQL, and experience with data visualization platforms such as Tableau or Power BI are commonly expected. Effective communication, critical thinking, and problem-solving skills help professionals translate data insights into actionable business strategies. These combined skills are crucial for driving data-driven decision-making and delivering measurable value to organizations.

What types of projects or tasks can I expect to handle in my first year after earning a Masters in Business Analytics?

In your first year after earning a Master's in Business Analytics, you can expect to work on projects involving data collection, cleaning, and analysis to support business decision-making. Common tasks include developing dashboards, creating predictive models, and presenting actionable insights to stakeholders. You'll likely collaborate closely with teams in marketing, finance, or operations to solve real business problems, and may also assist in automating reporting processes. Early-career roles often emphasize hands-on technical work and strong communication skills, providing a solid foundation for advancement into more strategic positions.

What is the difference between Masters In Business Analytics vs Data Analyst?

AspectMasters In Business AnalyticsData Analyst
Required CredentialsTypically a master's degree in business analytics, data science, or related fieldsOften a bachelor's degree in statistics, computer science, or related areas; certifications helpful
Work EnvironmentBusiness-focused teams, consulting firms, or corporate analytics departmentsData-focused teams within various industries, including finance, healthcare, and marketing
Employer & Industry UsageUsed by organizations seeking strategic insights and decision-making supportUsed by companies analyzing data to inform operational or marketing decisions

The Masters In Business Analytics prepares individuals for strategic roles involving data-driven decision-making, often with a broader business focus. Data Analysts typically focus on collecting, processing, and analyzing data to generate reports and insights. While both roles require analytical skills, the master's program emphasizes business applications and advanced analytics, whereas Data Analysts focus more on data manipulation and reporting.

What kind of jobs can I get with a master's in business analytics?

A master's in business analytics prepares graduates for roles such as data analyst, business intelligence analyst, data scientist, and analytics consultant. These positions involve analyzing large datasets, creating reports, and supporting data-driven decision-making using tools like SQL, Python, or Tableau.

What are popular job titles related to Masters In Business Analytics jobs in Seattle, WA?

For Masters In Business Analytics jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Masters In Business Analytics jobs in Seattle, WA look for?

The top searched job categories for Masters In Business Analytics jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Masters In Business Analytics jobs?

Cities near Seattle, WA with the most Masters In Business Analytics job openings:

Infographic showing various Masters In Business Analytics job openings in Seattle, WA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $91,440 per year, or $44 per hour.

Senior Business Analytics Specialist

Microsoft

Redmond, WA • On-site

$106K - $203K/yr

Full-time

Re-posted yesterday


Microsoft rating

8.6

Company rating: 8.6 out of 10

Based on 134 frontline employees who took The Breakroom Quiz

70th of 247 rated software companies


Job description

Overview
Commercial Engineering & AI (CEAI) partners closely with stakeholders to accelerate the transformation of Microsoft's commercial business into a frontier organization. We bring together AI-native engineering, modern platforms, and deep commercial insight to reimagine how work gets done - at scale and with impact. Our mission is to unlock new ways of operating through intelligent systems while creating the conditions for our teams to do the most meaningful work of their careers. If you're excited to build, experiment, and shape the future of commercial execution with AI at the core, we invite you to apply.
The Business Intelligence Center of Excellence (BI COE) is responsible for delivering AI-first, enterprise-scale analytics that power data-driven decision-making across Microsoft's Partner and Seller ecosystem. Our mission is to transform fragmented data into a single, trusted source of truth, enabling actionable insights, automation, and intelligent experiences.
The successful candidate for this role will lead the Security BI, data analytics & insights for the team globally, supporting leadership as well as Corporate & field teams, driving next level intelligent insights and predictive analytics around the business, led and scaled through AI across multi-modal interfaces. This role will also partner directly with the other members of our BI COE Team to deliver integrated, AI-led insights solutions, not proliferating or creating duplicative, isolated, or "more" interfaces in isolation.
You will play a role in shaping the next generation of AI-powered BI solutions, leveraging Microsoft Fabric, Power BI, and semantic modelling to deliver scalable, high-performance, and governed analytics experiences.
Responsibilities
  • Interpret complex business problems and requirements, translating them into capability needs, then building/ enabling AI-ready semantic layers that support natural language querying, automation, and predictive insights to enable AI-driven insights, Copilot scenarios, and intelligent analytics experiences leveraging Fabric, Power BI, GHCP, Cowork, CLI and more to solve these business problems
  • Enable AI-led predictive analytics capabilities and data insights for sellers, managers, and leadership to understand actionable insights and how to best use it to achieve measurable results. (What they need to know, Why they need to know it, and What they need to do about it)
  • Integrate and work with BI COE team members and stakeholders to identify, understand, and prioritize business and information needs
  • Utilize/deliver standardized tools and reporting which enable speed, efficiency, and scale in the business to accelerate the standardized business operations vs. isolated, disconnected, or duplicative solutions
  • Locate and define new process improvement opportunities and solve for root cause business issues to locate and correct problems
  • Drive adoption of AI-first principles across BI COE analytics and reporting solutions.

Impact & Outcomes
  • Deliver a unified, AI-powered analytics platform for Security insights
  • Enable single source of truth (OSOT) across data solutions
  • Reduce time-to-insight through optimized semantic models and self-service BI
  • Drive adoption of Fabric + AI-first BI strategy across BI COE

Qualifications
Required/minimum qualifications
Master's Degree in Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 3+ years experience in data analysis and reporting, business intelligence, or business and financial analysis OR Bachelor's Degree in Statistics, Finance, Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 4+ years experience in data analysis and reporting, business intelligence, or business and financial analysis OR equivalent experience.
Preferred Qualificaitons
  • 8+ years of experience in Business Intelligence, Data Engineering, or Analytics
  • Experience in:
    • Semantic modeling (Power BI / Tabular / DAX)
    • Data architecture and dimensional modeling (star schema, OSOT principles)
    • Microsoft Fabric (Lakehouse, Direct Lake, pipelines, OneLake)
    • Power BI (dataset optimization, reporting, governance)
  • Experience building analytics solutions at scale.
  • Experience with data governance, security, and compliance framework.
  • Experience in Microsoft Sales ecosystem.
  • Experience with AI-driven BI scenarios (Copilot, predictive analytics, data agents).
  • Experience integrating multiple enterprise datasets into unified reporting models.
  • Experience operating in matrixed, cross-functional environments and influence stakeholders.
  • Storytelling skills with experience to translating data into business impact.

Business Analytics IC4 - The typical base pay range for this role across the U.S. is USD $106,400 - $203,600 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $137,600 - $222,600 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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About Microsoft

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Our infrastructure is comprised of a large global portfolio of more than 100 datacenters and 1 million servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide. With environmental sustainability and optimization at the forefront of our datacenter design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Redmond, WA, US

Year founded

1975

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