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Freelance Data Analytics Masters Jobs (NOW HIRING)

centralins

Data Analytics Manager

Dublin, OH · Hybrid

Central Insurance is seeking a Data Analytics Manager to lead a highimpact team responsible for ... Masters' degree in Computer Science or related field and 2 years related experience * Or Bachelor ...

centralins

Data Analytics Manager

Van Wert, OH · Hybrid

Central Insurance is seeking a Data Analytics Manager to lead a highimpact team responsible for ... Masters' degree in Computer Science or related field and 2 years related experience * Or Bachelor ...

Premistar

Director-Data & Analytics

Deerfield, IL · On-site

Business (with strong analytics focus) Master's degree (preferred but not required): • MBA (especially with finance/operations focus) • MS in Data Science, Analytics, or Information Systems ...

Magna

Manager Data Analytics & Engineering

Lowell, MA · On-site

$105K - $196K/yr

Bachelor's Degree in Data Science, Computer Science, Mathematics or related field required, Masters Degree strongly preferred * 8+ years of experience in data engineering and data analytics required ...

Magna

Manager Data Analytics & Engineering

Lowell, MA · On-site

$105K - $196K/yr

Bachelor's Degree in Data Science, Computer Science, Mathematics or related field required, Masters Degree strongly preferred * 8+ years of experience in data engineering and data analytics required ...

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

As of Jul 13, 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.

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.

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Freelance Data Analytics Masters jobs near you
Infographic showing various Freelance Data Analytics Masters job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.
Manager/ Sr. Manager - Data Product Management - Supply Chain

Manager/ Sr. Manager - Data Product Management - Supply Chain

Tiger Analytics Inc.

Plano, TX • On-site

$121K - $159K/yr

Full-time

Posted 20 days ago

Job description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
We are seeking a strategic and execution-focused Data Product Manager to lead the development, modernisation, and scaling of enterprise data products. This role will sit at the intersection of business, data engineering, analytics, and technology, translating complex business needs into scalable data solutions that drive measurable impact.
Responsibilities:
  • Work directly with client stakeholders to translate business problems into high-level analytics solution designs.
  • Develop customer understanding through customer data, contributing to the overall analysis of the consumer path to purchase.
  • Develop end-to-end solutions based on an in-depth understanding of business problems to ensure analytics solutions are delivered efficiently, predictably, and sustainably.
  • Responsible for managing analytics projects, collaborating with client stakeholders and Tiger's team situated globally
  • End-to-end Data + Analytics delivery execution ownership and optimization of resource assignment, sequencing, and allocation.
  • Oversee the design, building, and managing of how business-ready data lives within the Enterprise Data Foundation.
  • Drive coordination between Domains, Products and Projects to help drive reuse and reduce redundancy/duplication in the D+A and broader client portfolio.
  • Responsible for making presentations to senior management, communicating results to business teams, and developing plans to help operationalize analytic solutions.
  • Build data roadmaps to meet hydration targets and support timely delivery for global data initiatives and programs.
  • Ensure data cataloguing in the Data Foundation is accessible to business stakeholders.
  • Work with program Technical Data Product Managers to ensure expectations from D+A are managed and to eliminate disconnects regarding what can be addressed.

Requirements
  • 8-12 years of progressive experience across product management, data analytics, data science, and data management within business-facing environments.
  • Minimum 7 years of experience in Product roles or in a Data Product Manager or Senior Business Analyst capacity with ownership of end-to-end data initiatives.
  • Proven experience owning the full lifecycle of data products - from ideation, business case development, and roadmap definition to MVP launch, scaling, and continuous optimization.
  • Strong expertise in cloud platforms (AWS preferred) and modern data ecosystems, including Snowflake, MongoDB, or similar technologies.
  • Demonstrated experience leading data migration and modernization programs (e.g., legacy to cloud-based architectures).
  • Advanced SQL proficiency with strong understanding of data modeling, data architecture, and analytics frameworks.
  • Hands-on experience working in Agile environments, including backlog management, sprint planning, estimation, and delivery using tools such as JIRA.
  • Proven ability to translate complex business requirements into structured epics, user stories, and technical documentation that enable efficient cross-functional delivery.
  • Experience collaborating with cross-functional teams including Product Owners, Data Engineers, Developers, Testers, and Analytics teams.
  • Strong executive presence with the ability to engage VP-level and senior stakeholders, translating business problems into high-level analytics and data solution approaches.
  • Demonstrated ability to identify high-value analytics opportunities across core business domains (e.g., marketing, risk, operations) and define measurable paths to value realization.
  • Experience driving innovative, business-oriented solutions using advanced analytics, feature engineering, and machine learning techniques.
  • Strong people leadership capabilities, with experience building, mentoring, and managing multi-level teams.
  • Excellent communication skills, with the ability to simplify complex technical concepts for both data & analytics teams and non-technical business stakeholders.
  • Graduate degree in Business Analytics, MBA, or equivalent professional experience.

Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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