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Masters In Business Analytics Jobs in Washington

Bachelor's degree or higher in a quantitative field * 5-7+ years of experience in analytical fields such as consulting, strategic finance, BizOps, data science, business intelligence, data ...

Business Analyst

Arlington, VA · On-site

$50K - $100K/yr

Preferred Education, Experience, and Skills: * MBA or Master's degree in a business-related field ... Data analysis software and project management tools (e.g., MS Project, Excel). * Learning ...

Preferred Education, Experience, and Skills: * MBA or Master's degree in a business-related field ... Data analysis software and project management tools (e.g., MS Project, Excel). * Learning ...

Master's degree in Business (MBA), Data Analytics, Information Systems, or related field * Advanced-level experience with Power BI data modeling, DAX, Power Query, and/or SQL * Experience with one or ...

Master's degree in Business (MBA), Data Analytics, Information Systems, or related field * Advanced-level experience with Power BI data modeling, DAX, Power Query, and/or SQL * Experience with one or ...

... with Masters in related field; or High School Diploma or equivalent and 14 years relevant experience. Required experience: 5+ years as a Business Analyst with at least 3 years Business Analyst ...

The purpose of the Manager of Food & Beverage Analytics is to Perform F&B analysis in accordance ... An MBA or a master's level degree in a program related to the functional area can count for an ...

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Masters In Business Analytics information

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$16

$43

$77

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 Washington is $43.75, according to ZipRecruiter salary data. Most workers in this role earn between $29.42 and $54.71 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 Washington?

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

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The top searched job categories for Masters In Business Analytics jobs in Washington are:

What cities in Washington are hiring for Masters In Business Analytics jobs?

Cities in Washington with the most Masters In Business Analytics job openings:

Infographic showing various Masters In Business Analytics job openings in Washington as of August 2026, with employment types broken down into 81% Full Time, 10% Part Time, 2% Temporary, and 7% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $91,004 per year, or $43.8 per hour.

Business Analytics Manager

Autodesk

Washington, DC • On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.


Autodesk rating

9.1

Company rating: 9.1 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

26th of 247 rated software companies


Job description

Job Requisition ID #

26WD99700

Position Overview

We are seeking a Business Analytics Manager to support Go-to-Market Finance organization by driving data-informed strategy, building scalable analytics solutions and AI-enabled workflows that improve planning, forecasting and reporting. This role will help accelerate time to insights, reduce manual work, and shape how Finance uses data, automation, and AI to make better business decisions.

As a member of the Business Analytics function, you will own analytics workstreams across Finance, Sales, Data Engineering, and business operations. You will translate Finance and business problems into structured analytical frameworks, scalable data products, and practical AI-enabled solutions that improve decision quality and operational efficiency.

The ideal candidate can connect business context to strong execution: partnering with stakeholders to clarify business problems, while also being hands-on enough to query data, prototype solutions, pressure-test metrics, and partner with technical teams to support scalable solutions. This is an individual contributor role that requires strong business judgment, technical depth, product thinking, and the ability to influence across teams.

Responsibilities

  • Own analytics and AI-enabled workflow workstreams, from problem framing and stakeholder alignment to solution design, insight generation, adoption, and measurable business impact

  • Partner closely with Finance stakeholders to understand planning, forecasting and reporting workflows, and identify opportunities to improve them through data, automation, and AI

  • Translate Finance and business challenges into structured analytical frameworks, including data modeling, KPI design, forecasting, experimentation, and decision-support workflows

  • Design and build scalable data products, including pipelines, tables, dashboards, reporting layers, and AI-ready datasets that enable automated, flexible, and action-oriented Finance analytics

  • Build and test prototypes for AI-enabled Finance workflows, such as automated business review narratives, anomaly detection, variance explanation, forecast drivers, natural-language insight discovery, and self-service reporting

  • Partner with Data Engineering, Finance Systems and central data teams to move prototypes into reliable, governed, production-ready solutions

  • Contribute to defining and standardizing KPI frameworks for financial metrics ensuring alignment across Finance and business teams

  • Design dashboards, reporting solutions, and self-service analytics experiences that improve adoption, reduce manual reporting, and help business partners make faster, more consistent decisions

  • Analyze business and financial metrics to uncover key drivers of growth, retention, churn, productivity, and efficiency, and recommend clear data-backed actions

  • Contribute to scalable, repeatable analytics frameworks and best practices that improve Finance decision-making and create consistency across planning, forecasting, reporting, and business reviews

  • Apply strong governance, quality control, and documentation practices to ensure AI-enabled workflows are accurate, explainable, secure, and appropriate for Finance decision support

  • Communicate insights, recommendations, and roadmap tradeoffs to stakeholders and leadership through clear storytelling, executive-ready presentations, and concise written narratives

Minimum Qualifications

  • Bachelor's degree or higher in a quantitative field

  • 5-7+ years of experience in analytical fields such as consulting, strategic finance, BizOps, data science, business intelligence, data engineering

  • Advanced SQL skills with the ability to work with large, complex datasets and multiple data sources

  • Strong experience with BI and visualization tools such as Power BI, or similar platforms

  • Experience partnering with Finance, GTM, or business leadership teams to support planning, forecasting, reporting, and performance management

  • Demonstrated ability to structure ambiguous problems, perform deep analysis, and translate findings into clear business impact

  • Experience designing scalable dashboards, reporting solutions, data models, or analytics products that improve self-service and reduce manual work

  • Strong stakeholder management skills, with experience partnering across cross-functional teams

  • Excellent communication skills, with the ability to distill complex analysis, technical concepts, and business tradeoffs into clear, actionable recommendations

  • Proven ability to own workstreams within cross-functional initiatives and deliver results in a matrixed environment

Preferred Qualifications

  • Experience supporting Go To Market, SaaS, or subscription-based business models

  • Experience building or supporting analytics, automation, or AI-enabled workflows for Finance, FP&A, GTM Finance, Sales Finance, or business operations teams

  • Experience with Python or other statistical tools for advanced analytics, modeling, or experimentation

  • Experience applying AI, machine learning, or generative AI capabilities to business workflows, such as automated narratives, anomaly detection, forecasting, natural-language analytics, document intelligence, or decision-support tools

  • Experience designing AI-ready data products, semantic layers, metric stores, or governed datasets that support self-service analytics and workflow automation

  • Experience building predictive models to forecast key metrics

  • Experience supporting the design of an optimal decision support process, defining a product strategy to enable it, translating into a roadmap, and enabling it through technology

  • Domain experience in FP&A and / or sales, marketing, and customer success operations

  • Experience working in high-growth or transformation environments

  • Strong understanding of responsible AI practices, including data quality, human-in-the-loop review, model limitations, explainability, and governance considerations

Learn More

About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Benefits

From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting https://benefits.autodesk.com/

Salary transparency

Salary is one part of Autodesk's competitive compensation package. For U.S.-based roles, we expect a starting base salary between $135,000 and $242,000. Offers are based on the candidate's experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Equal Employment Opportunity

At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.


Belonging

We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging


In-Person Onboarding and Identity Verification

This role may require in-person onboarding and/or in-person ID verification.

Are you an existing contractor or consultant with Autodesk?

Please search for open jobs and apply internally (not on this external site).


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About Autodesk

Sourced by ZipRecruiter

Autodesk is changing how the world is designed and made. Our technology spans architecture, engineering, construction, product design, manufacturing, media, and entertainment, empowering innovators everywhere to solve challenges big and small. From greener buildings to smarter products to more mesmerizing blockbusters, Autodesk software helps our customers to design and make a better world for all. For more information visit autodesk.com or follow @autodesk.

Industry

Software development

Company size

10,000+ Employees

Headquarters location

San Rafael, CA, US

Year founded

1982