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Data Analytics Mba Jobs in Colorado (NOW HIRING)

HCVT

Senior Data & Analytics Specialist

Denver, CO · Hybrid

What We Do and Who We Serve We offer Tax, Audit, Advisory, and Business Management services to our ... About the Role The Senior Data & Analytics Specialist is responsible for designing, building, and ...

NuView Analytics

Data Analyst

Denver, CO · On-site +1

$80K - $100K/yr

... business through their data. Salary: $80k-100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects ...

Altvia Solutions LLC

Data Analytics Lead

Denver, CO · On-site

This role supports our clients in fund and business performance analysis, forecasting, reporting ... As the Data and Analytics Lead, you will: * Deliver data-focused client implementation projects ...

New

Vail Resorts

Director, Visitation Analytics

Vail, CO · On-site

$150K - $180K/yr

The team leverages Vail Resorts' proprietary data as well as external data sources to generate ... Bachelor's degree required; MBA or similar graduate degree preferred The expected Total ...

New

NuView Analytics

Senior Data Analyst

Denver, CO · On-site +1

$90K - $120K/yr

... business through their data. Salary: $90k-120K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects ...

Clearway Energy

Manager, Asset Management

Denver, CO · Hybrid

Review gross margin performance and work with the energy data analytics group to explain variances ... An MBA is highly desirable. * Experience working in the renewable energy industry is highly ...

ultimus

Business Systems Analyst

Denver, CO · On-site

Bachelor's degree in Business Administration, Information Technology, Data Analytics, or a related field. * Mutual fund or financial services industry experience is preferred. * Hands-on experience ...

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Data Analytics Mba information

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How much do data analytics mba jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for data analytics mba in Colorado is $62.29, according to ZipRecruiter salary data. Most workers in this role earn between $61.68 and $62.93 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.

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 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 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.

Is a data analytics MBA worth it?

A data analytics MBA can enhance skills in data management, business strategy, and leadership, making graduates more competitive for roles such as data analyst or business intelligence manager. However, practical experience, technical skills in tools like SQL and Python, and industry certifications often have a significant impact on employability and salary potential. The value depends on career goals and the program's quality.

What are popular job titles related to Data Analytics Mba jobs in Colorado?

For Data Analytics Mba jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Data Analytics Mba jobs in Colorado look for?

The top searched job categories for Data Analytics Mba jobs in Colorado are:

What cities in Colorado are hiring for Data Analytics Mba jobs?

Cities in Colorado with the most Data Analytics Mba job openings:

Data Analytics Mba jobs near you
Infographic showing various Data Analytics Mba job openings in Colorado as of August 2026, with employment types broken down into 100% Full Time. Highlights an 74% In-person, and 26% Hybrid job distribution, with an average salary of $129,557 per year, or $62.3 per hour.

Senior Data & Analytics Specialist

HCVT

Denver, CO • Hybrid

Full-time

Posted 4 days ago

Job description

Come for the Challenge. Stay for the Experience.
At HCVT, we believe every challenge presents an opportunity to positively impact our clients and people. Talented and ambitious individuals who seek limitless professional opportunities thrive at HCVT. Our team is known for its technical skill and ability to help clients address complex business issues all while investing in and supporting our people to provide a rewarding employee experience.
 
What We Do and Who We Serve
We offer Tax, Audit, Advisory, and Business Management services to our clients, which include private and public companies, high-net-worth individuals, and family offices. We also specialize in serving clients across the following industries: Private Equity, Real Estate & Hospitality, Media & Entertainment, High-Net-Worth Individuals, Manufacturing & Distribution, Professional Services Firms, Technology, Healthcare, Nonprofit Organizations, and Affordable Housing.  
 
We Live Our Core Values
Our values guide us in our day-to-day interactions with our clients and each other—Integrity at our Core; Building Success Together; Passion for Excellence; and Diversity, Equity, & Inclusion. We are focused and committed to the needs of our clients and our team.
 
Discover How Far You Can Go.
Opportunities abound at HCVT. Our firm has experienced steady growth since its founding in 1991 and continues to expand its client service offerings, creating new opportunities for professionals to grow their careers. We make significant investments in training and provide interesting, diverse, and intellectually stimulating work for our teams—the kind of work that helps you develop and refine your skills to advance in the profession. 
 
Hybrid Work
HCVT currently offers a hybrid work model that allows eligible employees to work both remotely and in the office, based on business needs and team coordination. When working remotely, employees are expected to meet the same performance standards, adhere to the same policies, and maintain the same level of communication, collaboration, and responsiveness as working in the office. Please note that this arrangement is not guaranteed and subject to change at any time. We will strive to provide reasonable notice of any changes to your work location or schedule whenever possible.

About the Role

The Senior Data & Analytics Specialist is responsible for designing, building, and advancing the firm's enterprise data and analytics capabilities. This role combines expertise in data engineering, business intelligence, advanced analytics, and machine learning to deliver scalable data platforms, actionable business insights, and AI-ready data assets. Working closely with business and technology leaders, the position transforms enterprise data into trusted information that improves decision-making, operational efficiency, and client outcomes.

As the Senior Data & Analytics Specialist, you will be responsible for, but not limited to, the following:
  • Enterprise Data Platform & Engineering: Design, develop, and maintain the firm's enterprise data platform, including data warehouses, data lakes, semantic models, and data pipelines. Build scalable ETL/ELT processes that integrate information across Finance, Tax, Audit, Advisory, Operations, and other business systems while ensuring data quality, reliability, governance, and performance. Define data models, standards, and architecture that support reporting, analytics, machine learning, and AI initiatives.
  • Data Analytics & Business Intelligence: Develop modern analytics solutions that provide meaningful insights into business performance and operations. Design and deliver executive dashboards, KPIs, operational reporting, and self-service analytics using Power BI and Microsoft Fabric. Partner with business stakeholders to translate analytical requirements into scalable reporting solutions while establishing best practices for data visualization, metric definitions, and analytics governance.
  • Advanced Analytics & Data Science: Apply statistical analysis, predictive modeling, forecasting, and machine learning techniques to solve complex business problems. Build analytical models that improve operational efficiency, identify trends, predict outcomes, and support strategic decision-making. Evaluate model performance, improve accuracy, and operationalize analytical solutions for enterprise use.
  • AI-Ready Data & Intelligent Solutions: Develop governed, high-quality data assets that enable AI applications, intelligent automation, and generative AI solutions. Support modern AI capabilities through semantic models, vector-ready datasets, retrieval pipelines, and data preparation processes that improve the accuracy, reliability, and scalability of AI-enabled business solutions. Partner with software engineering teams to integrate analytics and machine learning capabilities into enterprise applications and AI agents.
  • Technical Leadership & Data Strategy: Provide technical leadership in enterprise data architecture, analytics technologies, and modern data engineering practices. Evaluate emerging tools and technologies, recommend improvements to the firm's data ecosystem, and contribute to the long-term analytics and AI strategy. Promote engineering best practices, data governance standards, automation, and continuous improvement across the analytics platform.
We expect that our Staff Azure Cloud Engineer will have the following qualifications:
  • 5+ years of progressive experience in data engineering, data analytics, data science, business intelligence, or related technical disciplines.
  • Degree in Computer Science, Data Science, Analytics, Engineering, or a related technical discipline.
  • Strong experience designing relational databases, dimensional models, data warehouses, and scalable data pipelines.
  • Advanced proficiency with SQL and Python, including data transformation, automation, and analytical development.
  • Experience designing and implementing ETL/ELT processes, data integration solutions, and enterprise data models.
  • Working knowledge of statistical analysis, predictive modeling, machine learning, and model evaluation techniques.
  • Knowledge of DevOps, CI/CD, Git, and Infrastructure-as-Code practices for analytics platforms.
  • Experience with data governance, data quality, metadata management, and enterprise analytics best practices.
  • Strong analytical thinking, technical problem-solving, and the ability to translate business requirements into scalable data solutions.
  • Excellent communication skills with the ability to explain complex technical concepts to business stakeholders.
Preferred Qualifications
  • Experience within professional services, consulting, financial services, or public accounting.
  • Hands-on expertise with Microsoft Fabric, Azure Data Platform, Power BI, or comparable cloud-based analytics platforms.
  • Experience with AI-enabled data architectures, RAG pipelines, semantic search, vector databases, or LLM-powered applications.
  • Experience building production machine learning or advanced analytics solutions.
  • Master’s Degree in Computer Science, Data Science, Analytics, Engineering, or a related technical discipline.
You Matter - HCVT provides a variety of benefits and perks that help sustain a healthy and thriving work environment.
  • Visit the Benefits section to learn more.
This salary range is specific to the state(s) listed and takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill set and education; experience and training; licensure and certifications; and other business and organizational needs. A reasonable estimate of the range for this position is $123,000 to $150,000.
 
Connect with us: 
LinkedIn, Instagram, Facebook, HCVT Website
 
#LI-GC1
#LI-Hybrid

The ordinance requires employers to state, in all job solicitations, postings and advertisements, that the employer will consider applicants in a manner consistent with the requirements of the Fair Chance Initiative.  
 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

HCVT logo

About HCVT

Sourced by ZipRecruiter

Industry

Accounting services

Company size

501 - 1,000 Employees

Headquarters location

Camarillo, CA, US

Year founded

1991

View All HCVT Jobs