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Masters In Business Analytics Jobs in Indiana (NOW HIRING)

Business Analyst

Indianapolis, IN · On-site

$71K - $89K/yr

The Business Analyst will facilitate and manage projects by serving as the liaison for users and ... Bachelor's degree in Information Technology, Business, or a related field * 2 to 3 years of related ...

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Masters In Business Analytics information

See Indiana salary details

$13

$36

$65

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

As of Jun 27, 2026, the average hourly pay for masters in business analytics in Indiana is $36.76, according to ZipRecruiter salary data. Most workers in this role earn between $24.71 and $45.96 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.
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Business AI Content Reviewer - Bilingual (French)

Business AI Content Reviewer - Bilingual (French)

micro1 AI

Indianapolis, IN • Remote

$20 - $70/hr

Part-time

Posted 12 days ago


Job description

Job Title: Business Document Expert (French Speaker)

Job Type: Contract

Location: Remote (Ideally based in the US)


Job Summary

Join our customer's team as a Business Document Expert and play a pivotal role in evaluating and elevating the next generation of AI-driven productivity tools. In this fully remote role, you'll harness your business acumen and advanced Office Suite skills to ensure AI-generated business documents meet the highest standards of excellence, clarity, and professionalism.


Key Responsibilities

  1. Collaborate directly with AI systems to execute sophisticated business tasks using Excel, PowerPoint, and Word.
  2. Evaluate, critique, and deliver structured feedback on diverse AI-generated deliverables spanning finance, strategy, marketing, and operations.
  3. Design and test realistic business scenarios that reflect current professional workflows, including analysis, presentations, reporting, and proposals.
  4. Review AI outputs for precision, business relevance, and adherence to Fortune 500 or consulting-level quality standards.
  5. Communicate actionable insights and recommendations to cross-functional teams, driving continuous AI improvement.
  6. Annotate, document, and escalate recurring issues to ensure AI systems consistently meet business user needs.
  7. Champion quality, structure, and clarity in every deliverable, helping bridge the gap between business expertise and AI innovation.


Required Skills and Qualifications

  1. Bachelor’s degree or higher in Business, Finance, Economics, Marketing, or a related field.
  2. 3+ years of professional experience in business functions such as strategy, finance, marketing, operations, sales, or HR.
  3. Proven mastery of Excel, PowerPoint, and Word for creating polished, professional business deliverables.
  4. Exceptional analytical, organizational, and both written and verbal communication skills.
  5. Acute attention to detail with the ability to critically assess and provide clear, constructive feedback.
  6. Familiarity with AI tools (e.g., ChatGPT, Claude, Copilot) or an eagerness to quickly learn in an evolving, tech-focused environment.
  7. Self-starter attitude, thriving in an independent, remote, and fast-paced work environment.


Preferred Qualifications

  1. Experience at a Fortune 500 company, top-tier consulting firm, or leading financial institution.
  2. Background in AI evaluation, prompt engineering, or document automation tools.
  3. MBA or advanced degree, and experience mentoring or providing structured feedback on business deliverables.