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Internship Data Analytics Masters Jobs (NOW HIRING)

Palnar

Data Analytics

Reston, VA · On-site

Masters degree in a related discipline is a plus. - Experience with hands-on work designing and ... Data Analyst teams to develop and implement the Ab Initio solution - Develop generic solutions ...

Luster National

Reporting Data Scientist

Sacramento, CA · On-site

Project Management Professional (PMP), Microsoft Power BI Data Analyst, Google Data Analytics, MBA, or similar professional certification. * Experience leading analytics initiatives or contributing ...

Equifax

Data & Analytics Intern

Alpharetta, GA · On-site

This 12-week Internship Program (May 18-Aug 7, 2026) is a gateway to full-time career paths for ... Graduate students obtaining a Master's degree in Data Science, Statistics, Analytics, Mathematics ...

Synchrony

BLP Intern - Data Analytics

Stamford, CT

Data Analytics BLP Internship Experience: What You'll Accomplish This internship is for students who are looking to get a critical jump start on a career in Data Analytics, working side by side with ...

FDR Financial Group

Data Analyst Internship

New York, NY · Remote

This internship offers a valuable opportunity to gain hands-on experience in the financial industry ... Support the implementation of data analytics solutions and strategies. * Stay updated on industry ...

EV Realty

Intern, Data Analytics

San Francisco, CA · On-site

The Role As a Data Analytics Intern you will help build and maintain various analytics tools and ... This position is a summer internship. The ideal candidate will be a self-starter, a natural problem ...

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

As of Jun 29, 2026, the average hourly pay for internship data analytics masters in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

Can I do a data analyst internship?

Yes, a data analyst internship is typically available for students or recent graduates pursuing a degree in data analytics, statistics, or related fields. Internships often require familiarity with tools like Excel, SQL, or Python and may involve working on real-world data projects under supervision.

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

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

How much do data analyst interns make in the US?

Data analyst interns in the US typically earn between $15 and $25 per hour, with an average around $18 to $20 per hour. Compensation can vary based on location, company size, and the intern's skills, such as proficiency in Excel, SQL, or data visualization tools.

Is it worth getting a master's degree in data analytics?

A master's degree in data analytics can enhance skills in statistical analysis, programming, and data visualization, which are valuable for data analyst and data scientist roles. It often leads to higher earning potential and better job opportunities, especially when combined with practical experience and proficiency in tools like SQL, Python, or R.
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Internship Data Analytics Masters jobs near you
Infographic showing various Internship Data Analytics Masters job openings in the United States as of June 2026, with employment types broken down into 75% Full Time, 20% Part Time, and 5% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.
Senior Manager/ Associate Director - Analytics Consulting (RGM)

Senior Manager/ Associate Director - Analytics Consulting (RGM)

Tiger Analytics Inc.

Remote

Full-time

Posted 26 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 has been recognized by various market research firms, including Forrester and Gartner.
This role will bridge the gap between data analytics and executive-level business strategy. Candidate will be the primary point of contact for this engagement, responsible for defining the RGM roadmap and ensuring the delivery of actionable insights that drive top- and bottom-line growth.
Responsibilities:
  • Work on the latest applications of data science to solve business problems.
  • Serve as the overall lead for the Revenue Growth Management (RGM) program, driving strategic initiatives across pricing, promotions, assortment, and portfolio optimization.
  • Work directly with client stakeholders to translate business problems into high-level analytics solution designs.
  • Responsible for managing analytics projects, collaborating with client stakeholders and Tiger's team situated globally.
  • Participate in discussions with team members to select and apply relevant analytic techniques and create actionable business insights.
  • Act as the primary point of contact for client stakeholders and serve as a trusted advisor to VP-level and executive stakeholders.
  • Define and execute the RGM analytics roadmap, translating business priorities into actionable analytics programs that drive revenue growth and profitability.
  • Lead client discussions on pricing strategy, promotion effectiveness, trade investment optimization, assortment planning, and commercial performance improvement initiatives.
  • Partner with business, commercial, sales, marketing, and category management teams to identify opportunities for growth and operational excellence.
  • Provide strategic recommendations and thought leadership by leveraging analytics to influence key business decisions and long-term growth strategies.
  • Lead cross-functional teams comprising Analytics, Data Science, Data Engineering, and Business Consulting professionals to deliver high-impact RGM solutions.

Requirements
  • 12+ years of professional work experience, including at least 3 years of Revenue Growth Management (RGM) experience.
  • Strong domain expertise within the CPG and/or Manufacturing industry.
  • Ability to engage with executive/VP-level stakeholders from the client's team to translate business problems into high-level analytics solution approaches.
  • Proven experience leading RGM programs and driving initiatives related to Pricing, Promotion Effectiveness, Assortment Optimization, Trade Promotion Analytics, and Portfolio Management.
  • Strong consulting and stakeholder management skills, with the ability to influence senior business leaders and act as a trusted advisor.
  • Solid understanding of statistical and machine learning algorithms.
  • Strong project management and team management skills, with the ability to work with global teams.
  • Strong SQL skills and hands-on experience with analytic tools such as R and Python, along with visualization tools like Qlik or Tableau.
  • Demonstrated experience defining analytics roadmaps and delivering strategic recommendations that drive both top-line growth and margin improvement.
  • Familiarity with commercial analytics, sales analytics, category management, customer profitability analytics, and demand forecasting is highly preferred.
  • Graduate in Business Analytics, MBA, or equivalent work experience.

Benefits
This position offers an excellent opportunity for significant career development in a fast-growing and challenging 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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