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Data Analytics Masters Jobs (NOW HIRING)

KPMG

Manager, Oracle Data & Analytics

Atlanta, GA

KPMG is currently seeking a Manager, Oracle Data & Analytics for our Consulting practice ... preferred. * MBA or MIS from an accredited college or university is preferred. Minimum of a ...

KPMG

Manager, Oracle Data & Analytics

Ashburn, VA · On-site

KPMG is currently seeking a Manager, Oracle Data & Analytics for our Consulting practice ... preferred. * MBA or MIS from an accredited college or university is preferred. Minimum of a ...

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Data Analytics Masters information

What is the difference between Data Analytics Masters vs Data Analyst?

AspectData Analytics MastersData Analyst
CredentialsTypically requires a master's degree in data science, analytics, or related fieldUsually requires a bachelor's degree in a related field; certifications can enhance prospects
Work EnvironmentAcademic, research, or advanced industry roles; often involves project-based workBusiness environments, working with data to generate reports and insights
Industry UsageUsed in academia, research institutions, and advanced analytics roles in industryCommon across industries like finance, healthcare, marketing, and technology

In summary, a Data Analytics Masters is an advanced qualification often required for specialized or research roles, while a Data Analyst is a more entry-level or mid-level position focused on analyzing data to support business decisions. Both roles share overlapping skills but differ in educational requirements and scope of work.

What are the key skills and qualifications needed to thrive as a data analytics master?

To thrive as a Data Analytics professional with a master's degree, you need strong analytical skills, expertise in statistics, and advanced knowledge of data modeling, typically supported by a relevant STEM degree. Proficiency with tools such as SQL, Python, R, Tableau, and familiarity with machine learning platforms is commonly required, along with certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate. Excellent problem-solving abilities, critical thinking, and effective communication skills help translate complex data findings into actionable business insights. These skills and qualifications are essential for transforming raw data into strategic decisions that drive organizational success.

What is a data analytics master's degree?

A Data Analytics Masters degree is a graduate-level program that focuses on teaching students advanced skills in analyzing, interpreting, and visualizing data to help organizations make data-driven decisions. The program typically covers topics such as statistics, machine learning, data mining, data visualization, and programming languages like Python or R. Graduates are prepared for careers in data science, business analytics, and related fields, where they can apply analytical techniques to solve real-world problems. This degree is ideal for individuals who want to deepen their understanding of data and pursue specialized roles in analytics.

What types of real-world projects or collaboration opportunities can a data analytics master expect during their studies?

Data Analytics Masters programs often include hands-on projects where students work with real datasets from industry partners or simulate actual business scenarios. These projects typically involve teamwork, allowing students to collaborate with peers and sometimes with professionals from related fields such as business, engineering, or IT. This collaborative environment helps students develop both technical and communication skills, and provides valuable exposure to industry-standard tools and workflows. Additionally, these experiences can lead to networking opportunities and open doors for internships or job placements upon graduation.

Is a master's in data analytics worth it?

A master's in data analytics can enhance job prospects for data analysts by providing advanced skills in statistical analysis, programming, and data visualization tools like Python and Tableau. It often leads to higher salaries and roles with greater responsibility, making it a valuable investment for those seeking to advance in the field.

What can I do with a master's in data analytics?

A master's in data analytics prepares individuals for roles such as data analyst, data scientist, business intelligence analyst, or data engineer. These roles involve analyzing large datasets, creating reports, and using tools like SQL, Python, or R to support decision-making across various industries.

What is a data analytics master?

A Data Analytics Masters job typically involves analyzing large datasets to extract insights that help businesses make data-driven decisions. Professionals in this role use statistics, machine learning, and data visualization tools to interpret trends and patterns. They commonly work in industries like finance, healthcare, marketing, and technology. Strong analytical skills, programming knowledge (e.g., Python, SQL, R), and expertise in data visualization tools (e.g., Tableau, Power BI) are essential.

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Data Analytics Masters jobs near you
Infographic showing various Data Analytics Masters job openings in the United States as of August 2026, with employment types broken down into 80% Full Time, 10% Part Time, and 10% Contract. Highlights an 80% In-person, and 20% Remote job distribution.

Data Analytics/ Microsoft Sales Representative

OSI Consulting

Dallas, TX • On-site

Full-time

Re-posted 14 days ago

Job description

Job Summary:
OSI Digital is a global consulting firm specializing in digital transformation and data solutions. They are seeking an experienced Sales Representative to build and expand their Microsoft stack-based data analytics business by developing and closing new business opportunities in the Microsoft data and AI landscape.
Responsibilities:
• Identify and qualify potential customers through outbound prospecting, networking, events, and inbound inquiries.
• Leverage your current network to solicit and provide our Data Analytics consulting services in the Microsoft stack.
• Stay current with Microsoft’s Data & AI roadmap, industry trends, and competitor offerings to shape positioning and differentiate OSI in the marketplace.
• Drive go-to-market strategies in collaboration with marketing and leadership teams. Ensure our sales strategy is perfectly aligned with Microsoft’s newest offerings and incentives, positioning us ahead of the competition.
• Negotiate pricing, contract terms, and close deals to meet or exceed sales quotas and revenue targets.
• Manage the full sales lifecycle — from lead generation to deal closure and handoff to delivery.
• Coordinating with internal practice leads to craft compelling proposals, SOWs, and pricing strategies aligned to client needs.
• Define ideal customer profiles (ICPs) and target account lists, mapping key decision-makers such as CIOs, CDOs, and VPs of Data, IT, and Finance.
• Build and nurture long-term client relationships to maintain a strong pipeline of qualified leads.
Qualifications:
Required:
• Bachelor’s degree in business, Marketing, Engineering, or a related field required; MBA preferred.
• Minimum of 5+ years of experience in IT services, technology, or consulting sales focused on Data, Analytics, Cloud Solutions, and AI, including at least 4+ years of demonstrated success selling within the Microsoft technology ecosystem.
• Strong conceptual and commercial understanding of Microsoft’s Data and AI services, including Microsoft Fabric, Azure Synapse Analytics, Azure Data Factory, Power BI, and Azure Machine Learning.
• Experience selling both project-based consulting and managed services is highly desirable.
• Experience in Account Management, including generating new business and exceeding consumption-based revenue targets.
• Established connections within Microsoft’s sales and partner ecosystem, as well as relationships with enterprise customers leveraging Microsoft technologies.
• Demonstrated success in positioning and selling complex consulting and professional services by aligning business challenges with data- and AI-driven solutions.
• Skilled in developing go-to-market strategies, defining ideal customer profiles (ICPs), and building targeted account plans to drive pipeline growth and new logo acquisition.
• Exceptional ability to articulate business value, deliver compelling proposals, and present to C-level and VP-level executives.
• In-depth awareness of industry trends, competitive landscape, and Microsoft partnership programs to identify differentiation opportunities.
Preferred:
• Established relationships with Microsoft account teams and partner organizations, experience with co-sell and commercial marketplace motions.
• Familiarity with data-driven transformation initiatives across industries such as manufacturing, healthcare, financial services, construction, and retail.
• Microsoft Solution Sales or Azure-related certifications (e.g., Microsoft Certified: Azure Fundamentals, Data & AI Fundamentals) are a plus.
• Proven experience selling data and analytics solutions within adjacent ecosystems such as Snowflake, Databricks, Tableau, and other non-Microsoft cloud platforms.
Company:
OSI Consulting is a global provider of modern technology solutions for business. Founded in 1993, the company is headquartered in Woodland Hills, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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