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Data Analytics Mba Jobs in Seattle, WA (NOW HIRING)

Nscale

Integration Program Manager, MBA

Seattle, WA · On-site

This is a governance and integration role, not an execution role, and we're opening it to MBA and ... Analytical rigor, with comfort synthesizing data from multiple sources into a clear narrative

SRI Tech solutions Inc

Data Scientists

Redmond, WA · On-site

... analytic environments, for both structured (relational data warehouses, SQL, etc.) and unstructured data (COSMOS, Cassandra, Hadoop, Web trends, Omniture, etc.). Undergraduate degree a must. MBA or ...

SRI Tech solutions Inc

Data Scientists

Redmond, WA · On-site

... analytic environments, for both structured (relational data warehouses, SQL, etc.) and unstructured data (COSMOS, Cassandra, Hadoop, Web trends, Omniture, etc.). • Undergraduate degree a must. MBA ...

Aquent

Business Intelligence Analyst 5

Redmond, WA · On-site +1

$70 - $75/hr

Bachelor's degree in a technical field such as data analytics, information systems, computer ... Nice-to-Have Qualifications * MBA or other related advanced degree. About Aquent Talent Aquent ...

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All JobsData Analytics Mba JobsData Analytics Mba Jobs in Seattle, WA

Data Analytics Mba information

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How much do data analytics mba jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for data analytics mba in Seattle, WA is $67.45, according to ZipRecruiter salary data. Most workers in this role earn between $66.78 and $68.17 per hour, depending on experience, location, and employer.

What is a Data Analytics MBA?

A Data Analytics MBA is a Master of Business Administration program with a concentration in data analytics. This specialized MBA combines core business management education with in-depth training in data analysis, statistical modeling, and data-driven decision-making. Graduates gain skills in interpreting complex data, using analytics software, and applying insights to solve business problems, preparing them for leadership roles in data-centric industries.

Is data analyst a good career after an MBA?

A data analyst role is a strong career option after an MBA, as it combines business knowledge with data skills such as SQL, Excel, and data visualization tools. It offers opportunities for growth into senior analytics, management, or specialized roles like data scientist, often requiring continuous learning and certification. The demand for data analysts remains high across industries, making it a viable career path for MBA graduates with analytical aptitude.

What is the difference between Data Analytics MBA vs Data Analyst?

AspectData Analytics MBAData Analyst
Required CredentialsMBA with specialization in Data Analytics or related courseworkBachelor's degree in relevant field; certifications like CAP, Microsoft Data Analyst
Work EnvironmentBusiness settings, strategic planning, cross-departmental collaborationData-focused roles, technical analysis, reporting
Employer & Industry UsageBusiness firms, consulting, finance, marketingTech companies, finance, healthcare, retail

In summary, a Data Analytics MBA prepares professionals for strategic roles combining business acumen with data skills, while a Data Analyst focuses on technical data analysis and reporting. The MBA offers broader managerial and strategic perspectives, whereas the Data Analyst role is more technical and specialized.

How does a Data Analytics MBA typically work with cross-functional teams to drive business decisions?

As a Data Analytics MBA, you'll frequently collaborate with colleagues from departments such as marketing, finance, operations, and IT. Your role is to translate complex data insights into actionable strategies that align with business objectives. This often involves presenting findings to non-technical stakeholders, facilitating data-driven decision-making, and ensuring that analytics projects support overall organizational goals. Strong communication and project management skills are essential, as you'll bridge the gap between technical teams and business leaders.

What can you do with a data analytics MBA?

A Data Analytics MBA prepares graduates for roles such as data analyst, business intelligence analyst, or data manager, focusing on skills like data interpretation, statistical analysis, and using tools like SQL, Excel, and Tableau. It enables professionals to make data-driven decisions and work in industries like finance, marketing, or healthcare. The degree often includes training in leadership and strategic thinking relevant to analytics projects.

What are the key skills and qualifications needed to thrive as a Data Analytics MBA, and why are they important?

To excel as a Data Analytics MBA, you need a strong foundation in quantitative analysis, business strategy, and data-driven decision-making, typically supported by an MBA with a focus on analytics or a related discipline. Proficiency in data visualization tools (such as Tableau or Power BI), statistical software (like R or Python), and familiarity with databases and SQL are highly valued. Outstanding problem-solving abilities, communication skills, and the ability to translate data insights into actionable business recommendations set top performers apart. These skills are essential to bridge the gap between complex data analysis and strategic business objectives, driving value for organizations.
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Data Analytics Mba jobs near you
Infographic showing various Data Analytics Mba job openings in Seattle, WA as of August 2026, with employment types broken down into 6% Internship, 81% Full Time, and 13% Part Time. Highlights an 81% In-person, 6% Hybrid, and 13% Remote job distribution, with an average salary of $140,295 per year, or $67.4 per hour.

Integration Program Manager, MBA

Nscale

Seattle, WA • On-site

Other

Re-posted yesterday

Job description

Nscale is deploying AI infrastructure at scale across North America. Our deployments are executed by third-party partners who manage 70% of the physical scope. We need an Integration PM who owns the other 30%, including WAN availability, FE network, network device configuration, and customer acceptance, and who builds the integrated 100% delivery picture that leadership and customers can act on. This is a governance and integration role, not an execution role, and we're opening it to MBA and early-career candidates who can grow quickly into owning that picture.

What You Will Do
  • Own Nscale's 30% delivery scope on every active deployment - WAN availability, FE network availability, and network device configuration - from definition through validation and customer sign-off
  • Govern delivery partners - tracking their 70% scope, challenging their schedule assumptions, and escalating when their delivery puts Nscale's commitments at risk
  • Build and maintain the integrated 100% delivery picture - combining vendor inputs with Nscale's own tracking into a single, consumable master view for leadership and customers
  • Own customer acceptance criteria - extract, document, validate, and track against them throughout the deployment lifecycle
  • Serve as the primary customer interface for deployment status, risks, and escalations - communicating clearly and proactively even when problems are unresolved
  • Identify cross-functional dependencies across Supply Chain, GPU PM, Networking PM, and Site PMs - and drive resolution before they impact the schedule
  • Produce weekly leadership reporting that translates deployment complexity into clear, decision-ready narratives
  • Contribute to the development of integration playbooks, governance frameworks, and acceptance standards that scale across multiple concurrent deployments
Minimum Qualifications 
  • MBA with a concentration or strong interest in operations, technology, or program management
  • 3-5 years of total professional experience (pre- and/or post-MBA) in technical program management, consulting, operations, or a related field
  • Exposure to or coursework in vendor management, supply chain, or multi-party delivery programs
  • Network and infrastructure literacy - WAN, FE network, and network device configuration are familiar territory, not new concepts
  • Analytical rigor, with comfort synthesizing data from multiple sources into a clear narrative
  • Customer-facing experience (consulting casework, internships, or prior roles) and the confidence to grow into a primary customer interface
  • Strong written and verbal communication, with the ability to translate complexity for a non-technical audience
  • Coachable and curious, with eagerness to learn vendor governance and infrastructure delivery from senior team members
Preferred Qualifications 
  • Professional experience in a hyperscaler, cloud provider, or infrastructure-adjacent industry
  • Experience involving network engineering or network operations
  • Familiarity with GPU cluster delivery, hardware supply chain, or AI/ML infrastructure programs

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