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How much do data analytics mba jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for data analytics mba in Boston, MA is $64.35, according to ZipRecruiter salary data. Most workers in this role earn between $63.70 and $65.00 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.
What are popular job titles related to Data Analytics Mba jobs in Boston, MA? For Data Analytics Mba jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Data Analytics Mba jobs in Boston, MA look for? The top searched job categories for Data Analytics Mba jobs in Boston, MA are:
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Data Analytics Mba jobs near you
Infographic showing various Data Analytics Mba job openings in Boston, MA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Hybrid job distribution, with an average salary of $133,848 per year, or $64.3 per hour.

Financial Analysis/MBA Intern

First Realty Management Corp

Boston, MA • On-site

$45 - $60/hr

Other

Re-posted 5 days ago

Job description


A family-owned and privately held property management company headquartered in Boston, MA, First Realty Management has been in business for over 50 years. We combine the resources of a large company with the personal touch and attention to detail of a small, local firm.

Our talented employees are what make us stand out. While we perform as a top-tier property management company, we have a close-knit, family-owned foundation. Professional growth is encouraged through a commitment to educational advancement and opportunities to learn from industry thought leaders. We create a sought-after community atmosphere by recognizing and celebrating those who go above and beyond. Above all else – we always put our team members first.

We're seeking a highly motivated MBA Intern to work directly with our CFO and VP on financial modeling, acquisitions analysis, and strategic initiatives. The work spans several levels — from optimizing the business we run today to evaluating what we acquire and build next.

At the corporate level, you'll help sharpen the existing business. You'll evaluate current pricing models across the company and recommend changes to improve margin and competitive positioning. You'll assess the structure of our divisions — analyzing income and expenses at the department level and recommending restructuring to improve operations and cash flow within each. And you'll evaluate new business lines that First Realty could build or add, assessing market opportunity, economics, and strategic fit.

At the company level, you'll evaluate potential add-ons: businesses First Realty could acquire or build from the ground up to expand capabilities, enter adjacent markets, or scale existing operations.

At the asset level, you'll underwrite individual properties the firm is considering acquiring across a portfolio of residential apartment communities — including luxury, market-rate, and Section 8 properties — as well as commercial assets.

This is not an FP&A support seat. As a principal-led firm, we offer direct, sustained exposure to the people making capital decisions. You'll create models that drive live decisions, and treat real estate as what it is for someone with your training: a tangible, returns-driven application of everything you've learned.

What You'll Work On

Acquisitions & Investment Analysis Underwrite live opportunities across the portfolio: build DCF and LBO-style return analyses, size agency and bank debt, and pressure-test assumptions on potential asset purchases, M&A, capital projects, and new business lines.

Financial Modeling & Analysis Develop and maintain three-statement models, scenario analyses, and sensitivity analyses to evaluate performance, revenue opportunities, and capital allocation decisions. Analyze historical financial data to identify trends, risks, and opportunities using tools such as Excel, Tableau, and Essbase.

Workflow Automation & AI Agent Development Streamline financial and operational workflows using AI tools, including building Claude agents to automate reporting, analysis, and recurring processes.

Investor Relations & Commercial Banking Support Prepare financial reports, dashboards, and executive presentations for senior leadership, and support investor relations and commercial banking initiatives, including investor communication and account openings.

Qualifications

  • Currently pursuing an MBA.
  • Excellent modeling, analytical, and quantitative skills; advanced Excel required.
  • Proficiency in financial modeling best practices, scenario analysis, and sensitivity analysis.
  • Familiarity with financial statement analysis, accounting principles, and valuation methodologies, including DCF and comparable analysis.
  • Interest in corporate finance, real estate investment, asset management, or growth strategy.
  • Excellent communication and organizational skills.
  • Self-starter able able to work independently and collaboratively.

Preferred Background

  • Investment banking, private equity, real estate private equity, venture capital, or corporate finance.
  • Interest in and experience in building and using AI tools to streamline workflows.

The Path Forward We would be open to extending the engagement through the fall semester and academic year