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Masters In Business Analytics Jobs in Boca Raton, FL

INSPYR Solutions

Business Analyst

Deerfield Beach, FL · On-site

$60 - $70/hr

US Citizen, GC Holders or Authorized to Work in the U.S. Business Analyst Summary: We are seeking a highly skilled and driven Business Analyst to support a major transformation project that involves ...

Cross Catholic Outreach

Business Analyst

Pompano Beach, FL · Remote

$68K - $80K/yr

We believe strongly in unifying Christians in this mission of mercy, and we believe that creating a ... The PMO Technical Business Analyst plays a critical role in supporting the Project Management ...

Stefanini

Business Analyst

Miramar, FL

Work directly with Lead and business contacts in the support, idetification and resolution of fixes ... Experience in business processes, analysis, requirements, functional requirements/use case and ...

CGI Inc.

Business Analyst

Deerfield Beach, FL · On-site

In this role, you'll provide business teams with a high-quality, consistent level of proactive and ... Gather, analyze, and document business requirements, system requirements, user stories, business ...

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Masters In Business Analytics information

See Boca Raton, FL salary details

$13

$36

$65

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

As of Jun 26, 2026, the average hourly pay for masters in business analytics in Boca Raton, FL is $36.66, according to ZipRecruiter salary data. Most workers in this role earn between $24.62 and $45.87 per hour, depending on experience, location, and employer.

What types of projects or tasks can I expect to handle in my first year after earning a Master's 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 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.

Will AI replace a business analyst?

AI can automate routine data analysis tasks and support decision-making for business analysts, but it is unlikely to fully replace the role. Business analysts require skills in interpreting complex data, understanding business context, and communicating insights, which currently require human judgment and domain expertise. AI tools enhance productivity but do not eliminate the need for strategic analysis and stakeholder interaction.

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.

Is it worth doing a master's in business analytics?

A master's in business analytics prepares professionals like business analysts with skills in data analysis, statistical methods, and tools such as SQL and Python. It can improve job prospects, increase earning potential, and provide a competitive edge in data-driven decision-making roles, especially in industries valuing advanced analytics expertise.

What are the key skills and qualifications needed to thrive with a Master's in Business Analytics, and why are they important?

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 is the highest paying job in business analytics?

The highest paying roles in business analytics typically include Chief Data Officer, Data Science Director, or Analytics Vice President, with salaries often exceeding $150,000 annually. These positions require advanced skills in data management, strategic planning, and leadership, and often demand extensive experience and certifications in analytics tools and methodologies.
What are popular job titles related to Masters In Business Analytics jobs in Boca Raton, FL? For Masters In Business Analytics jobs in Boca Raton, FL, the most frequently searched job titles are:
What job categories do people searching Masters In Business Analytics jobs in Boca Raton, FL look for? The top searched job categories for Masters In Business Analytics jobs in Boca Raton, FL are:
What cities near Boca Raton, FL are hiring for Masters In Business Analytics jobs? Cities near Boca Raton, FL with the most Masters In Business Analytics job openings:
Masters In Business Analytics jobs near you

Senior Business Intelligence Data Analyst

DHL Group

Weston, FL • On-site

$81K - $108K/yr

Other

Posted 6 days ago

Job description

COMPENSATION

Comp Range: $81,450 - $108,600


ROLE SUMMARY

The Senior BI Commercial Data Analyst plays a key role in developing, maintaining, and innovating data analytics reporting solutions within the commercial analytics team. This position will design, develop, and manage Power BI reports and dashboards by leveraging strong data analytics skills, Power BI expertise, and a clear understanding of Azure Data Lake environments. The role will also conduct piece-level data (PLD) analysis to create customer profiles, working closely with the sales team to understand requirements and deliver accurate, logically sound analytical solutions. In addition, this position will support the continuous improvement of existing reporting and analytical processes while contributing to broader data analytics projects as required.


ESSENTIAL DUTIES AND RESPONSIBILITIES

Design, develop, and publish Power BI reports and templates that are visually intuitive and aligned with end-user needs and business requirements.

Ensure all commercial Power BI reports are logically sound, mathematically accurate, and free of errors prior to deployment.

Gather and understand business requirements from stakeholders and translate them into logical, accurate, and user-friendly Power BI reports and dashboards.

Maintain and monitor all published Power BI reports to ensure minimal downtime and continued alignment between report logic and evolving business requirements.

Conduct PLD analyses by working closely with the sales team to understand requirements, develop comprehensive solutions, and provide follow-up support to ensure

   findings are clearly understood.

Ensure all PLD analytical solutions are logically and mathematically sound, free of errors, and meet the requirements of the requesting stakeholder.

Proactively identify opportunities to make PLD analyses more comprehensive, insightful, and efficient over time.

Model and optimize logistics processes to support product management using Power BI, Excel, Access, Python, and/or other statistical tools.

Understand and become a subject matter expert on USPS requirements and postal regulations related to logistics questions, including product classification, zone

  pricing, dangerous goods, and other related topics.

Support ad hoc requests from the sales and leadership teams by providing data-driven conclusions and recommendations to help drive product strategy.

Leverage Azure Data Lake to extract, transform, and analyze large volumes of data to support reporting and analytical needs.

Support additional data analytics projects across the commercial team as required.

Work both independently and collaboratively within the team to deliver high-quality analytical outputs within agreed timelines.

Perform other duties and special projects as assigned.


EDUCATION AND EXPERIENCE

Bachelor's degree in Data Science, Statistics, Mathematics, Business Analytics, Computer Science, or a related quantitative field is required.

Master's degree or MBA in Business, Operations, Business Logistics Engineering, or a related field is preferred.

5 years of related work experience in data analytics, product management, management consulting, or data science is required.

2-3 years of working knowledge of Microsoft Power BI is required, with a good understanding of Azure Data Lake and Databricks.


REQUIREMENTS AND SKILLS

Strong analytical, problem-solving, and quantitative analysis skills.

Expert knowledge of Microsoft Power BI.

Strong knowledge of databases, data analytics, and visualization tools, including Oracle SQL Developer, Python, Power BI, and Tableau.

 Proficiency in Microsoft Azure Data Lake Storage (ADLS), Azure Databricks, Azure Data Factory, and Azure Synapse Analytics for data extraction, transformation, an

   analysis.

 Strong working knowledge of SQL, PySpark/Python, DAX, and Power Query for data processing and Power BI report development.

Strong written and verbal communication skills, with the ability to explain analytical findings clearly to business stakeholders.

Strong planning, project management, and organizational skills.

Proficiency in Excel, PowerPoint, MS Access, and Visio.

High attention to detail with a forward-thinking mindset.

Ability to work individually or within a team in a fast-paced environment.

Ability to lead cross-functional teams and indirectly manage more junior team members.


WHY THIS ROLE MATTERS

This role offers the opportunity to directly influence commercial decision-making through high-quality reporting, customer analytics, and actionable insights. The successful candidate will help transform complex commercial, logistics, and customer data into clear business recommendations while improving reporting processes and supporting product strategy.

We are looking for someone who can combine technical capability, commercial curiosity, and strong communication skills to deliver high-impact analytical solutions in a fast-paced environment. If your experience aligns with the requirements above and you are ready to contribute to data-driven commercial strategy, we would be excited to hear from you.

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