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Freelance Data Analytics Masters Jobs (NOW HIRING)

Master's degree or PhD in a related field (e.g., computer science, data science, business analytics, healthcare informatics, or MBA) is preferred. * Extensive (15-20+ years) experience in enterprise ...

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 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 ...

Analyze key data / metrics to identify trends and risks; developing mitigation solutions and ... Master's Degree in Analytics, MBA, or related advanced degree desired but not required Experience ...

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Freelance Data Analytics Masters information

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How much do freelance data analytics masters jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for freelance data analytics masters in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.

Can I do freelancing in data analytics?

Freelance data analytics involves providing data analysis, visualization, and reporting services independently. Professionals typically use tools like Excel, SQL, and Python, and may need certifications or a strong portfolio to attract clients. It offers flexible schedules but requires self-motivation and good communication skills.

Is a master's in data analytics worth it?

A master's in data analytics can enhance a data analytics master's career by providing advanced skills in statistical analysis, programming, and data visualization, which are highly valued in the field. It can also improve job prospects and earning potential, especially when combined with practical experience and proficiency in tools like Python, R, or SQL.

What is the difference between Freelance Data Analytics Masters vs Freelance Data Analysts?

AspectFreelance Data Analytics MastersFreelance Data Analysts
CredentialsOften hold advanced degrees or certifications in data analytics, data science, or related fieldsMay have certifications or relevant experience but typically fewer formal credentials
Work EnvironmentProject-based, flexible, often involves complex data projects requiring advanced skillsProject-based or ongoing, handling data cleaning, analysis, and reporting tasks
Employer & Industry UsageUsed by consulting firms, tech companies, and organizations seeking advanced analytics expertiseFreelance roles across various industries including marketing, finance, healthcare

Freelance Data Analytics Masters generally possess advanced education and handle complex projects, while Freelance Data Analysts focus on data processing and reporting tasks. Both roles are flexible and project-based but differ in skill level and scope.

What jobs can I do with a freelance data analytics masters?

With a freelance data analytics masters, you can work as a data analyst, data scientist, business intelligence analyst, or data consultant. These roles involve analyzing data sets, creating reports, and providing insights using tools like SQL, Python, or Tableau, often on a project basis or as an independent contractor.
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Infographic showing various Freelance Data Analytics Masters job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

Sales Representative Data Analytics/ Microsoft

OSI Digital

Dallas, TX • On-site

$40K - $120K/yr

Full-time

Re-posted 19 days ago


Job description

Job Title: Data Analytics/ Microsoft Sales Representative
Employment: Full-time
Location: Dallas, TX
OSI Digital is a global consulting firm with over three decades of experience helping organizations accelerate their digital transformation. As a trusted partner, we enable enterprises to reimagine what's possible with their data, from building scalable cloud ecosystems to infusing AI into everyday decision-making, we deliver end-to-end solutions across modern data platforms, advanced analytics, AI/ML, and cloud enablement, helping businesses unlock agility, intelligence, and measurable growth.
As part of our growing Data Analytics Practice, we are seeking a seasoned Sales Representative who can build and expand our Microsoft stack-based data analytics business, focusing on developing and closing new business opportunities in Microsoft's data and AI landscape.
Role Summary
We're seeking a strategic sales representative with a proven ability to close complex Data and AI consulting engagements and acquire new enterprise clients within the Microsoft ecosystem. This position is ideal for a seasoned professional with a strong record of driving revenue growth through consultative selling, building executive-level relationships, and uncovering high-value opportunities across Data Engineering, Data warehousing, Analytics, and AI solutions. The role demands a true hunter mindset, someone skilled at identifying, pursuing, and converting new business opportunities within Microsoft's Data & AI landscape.
The candidate will be responsible for generating new business, building long-term client relationships, and driving revenue growth through consultative selling of Microsoft Stack - Data, Analytics, Visualizations & AI Solutions.
Key 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.
Required Qualifications:
  • 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 Qualifications:
  • 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.
How to Apply
Send your resume and a brief note describing two recent net-new Microsoft Data/AI wins (problem, solution, TCV, your role, outcome).