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Summer Data Analytics Graduate information

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$33K

$81.5K

$140K

How much do summer data analytics graduate jobs pay per year?

As of Jul 13, 2026, the average yearly pay for summer data analytics graduate in the United States is $81,518.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $96,500.00 per year, depending on experience, location, and employer.

What are Summer Data Analytics Graduates?

Summer Data Analytics Graduates are recent or soon-to-be graduates who participate in summer internship or training programs focused on data analytics. These roles typically involve working on data-driven projects, analyzing large datasets, and gaining hands-on experience with analytical tools and techniques. The purpose of these positions is to provide students or new graduates with practical exposure to real-world business challenges, often within a corporate or research environment. Participants develop skills in data analysis, visualization, and reporting, which can enhance their employability in the data science and analytics field.

What types of projects can a Summer Data Analytics Graduate expect to work on during their internship?

As a Summer Data Analytics Graduate, you can expect to work on a variety of projects involving data cleaning, analysis, and visualization. Typical assignments include assisting with the preparation of datasets, conducting exploratory data analysis, building dashboards, and supporting senior analysts with statistical modeling. You'll likely collaborate with cross-functional teams such as marketing, finance, or operations, contributing to real business cases and gaining exposure to industry-standard tools and methodologies. This hands-on experience is designed to help you develop both technical and communication skills valuable for a future career in analytics.

Is 30 too late for data science?

The Summer Data Analytics Graduate role is open to individuals of various ages, and age is not a barrier to entering data science. Many professionals transition into data science later in their careers by acquiring skills in programming, statistics, and tools like Python or R, often through online courses or certifications. Age should not deter you from pursuing a career in data science if you have the interest and dedication to learn relevant skills.

Will AI replace a data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting insights, understanding business context, and communicating findings, which require human judgment. Therefore, while AI may augment a data analyst's work, it is unlikely to fully replace the need for skilled analysts who bring domain expertise and critical thinking to data projects.

How to be a data analyst after graduation?

To become a data analyst after graduation, develop skills in data analysis tools such as Excel, SQL, and programming languages like Python or R. Gain experience through internships or projects, and consider earning certifications like Microsoft Data Analyst or Google Data Analytics to enhance your qualifications.

What jobs can I get with a degree in data analytics?

A degree in data analytics qualifies you for roles such as data analyst, business analyst, data scientist, and operations analyst. These positions involve analyzing data sets, creating reports, and supporting decision-making using tools like Excel, SQL, and visualization software. Additional certifications in data management or programming can enhance job prospects.

What are the key skills and qualifications needed to thrive as a Summer Data Analytics Graduate, and why are they important?

To thrive as a Summer Data Analytics Graduate, you need a solid background in statistics, data analysis, and proficiency with spreadsheet and database tools, typically supported by ongoing or recent studies in a quantitative field. Familiarity with programming languages such as Python or R, experience with data visualization tools like Tableau, and knowledge of SQL are often expected. Strong problem-solving abilities, attention to detail, and effective communication skills help you analyze data and present insights clearly to diverse audiences. These skills are crucial for delivering actionable findings and supporting data-driven decision-making in fast-paced project environments.
More about Summer Data Analytics Graduate jobs
What cities are hiring for Summer Data Analytics Graduate jobs? Cities with the most Summer Data Analytics Graduate job openings:
What are the most commonly searched types of Data Analytics Graduate jobs? The most popular types of Data Analytics Graduate jobs are:
What states have the most Summer Data Analytics Graduate jobs? States with the most job openings for Summer Data Analytics Graduate jobs include:
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Summer Data Analytics Graduate jobs near you
Infographic showing various Summer Data Analytics Graduate 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 $81,518 per year, or $39.2 per hour.

Predictive Analytics Fellow, Workforce Intelligence

AlphaHire

Remote

Contractor

Re-posted 17 days ago

Job description

About AlphaHire Workforce Intelligence Lab (WIL)
The AlphaHire Workforce Intelligence Lab (WIL) is an applied workforce research initiative focused on construction labor markets, workforce planning systems, compensation intelligence, labor scarcity analysis, and operational workforce visibility.
WIL develops workforce intelligence frameworks and regional labor market analysis designed to support operational decision-making across the construction industry.
The lab synthesizes publicly available labor data, compensation trends, contractor growth indicators, workforce demand signals, and construction activity into workforce intelligence systems for construction firms and industry operators.
Learn more:
AlphaHire Workforce Intelligence Lab (WIL)
About the role
We are seeking Predictive Analytics Fellows interested in workforce forecasting support systems, labor market analytics, operational workforce modeling, and workforce intelligence initiatives focused on the construction industry.
This fellowship is designed for graduate students, PhD candidates, analysts, data scientists, operations researchers, and analytically oriented professionals interested in workforce systems, labor market visibility, workforce planning, compensation analysis, and operational forecasting support.
Predictive Analytics Fellows will contribute to workforce intelligence initiatives focused on:
  • workforce trend modeling
  • labor market analytics
  • compensation trend analysis
  • workforce forecasting support
  • labor scarcity indicators
  • workforce intelligence methodologies
  • operational workforce visibility
  • workforce planning systems
  • workforce signal interpretation
  • dashboard validation
  • regional workforce intelligence reporting

This is a flexible, remote, project-based fellowship structured around approximately 3-5 hours per week.
Requirements
  • Support workforce intelligence and workforce forecasting initiatives
  • Assist with workforce analytics and labor market trend analysis
  • Contribute to workforce intelligence reports and publications
  • Participate in workforce intelligence framework and forecasting support development
  • Research publicly available labor market and workforce datasets
  • Support operational workforce visibility and workforce planning initiatives
  • Assist with dashboard validation and workforce signal analysis
  • Contribute to workforce intelligence methodology documentation
  • Support workforce forecasting support systems focused on operational construction decision-making

Preferred backgrounds
We are particularly interested in candidates with backgrounds in:
  • predictive analytics
  • workforce analytics
  • operations research
  • econometrics
  • statistics
  • industrial engineering
  • labor economics
  • forecasting systems
  • data science
  • business analytics
  • operational analytics
  • quantitative modeling
  • applied economics
  • mathematics
  • data analytics

Graduate students, PhD candidates, early-career researchers, analysts, and analytically oriented professionals are encouraged to apply.
Benefits
Fellowship structure
  • Flexible remote participation
  • Approximately 3-5 hours per week
  • Project-based collaboration
  • Ongoing contribution opportunities based on interest and availability

Additional information
This is an applied workforce analytics fellowship focused on operational workforce visibility and workforce planning support for the construction industry.
The fellowship is intended for individuals interested in:
  • workforce forecasting support systems
  • workforce analytics
  • labor market analysis
  • operational workforce systems
  • workforce intelligence methodologies
  • compensation intelligence
  • labor scarcity interpretation
  • workforce planning frameworks
  • construction workforce intelligence

rather than speculative forecasting or purely theoretical modeling.
The fellowship emphasizes:
  • explainable methodologies
  • operational usefulness
  • workforce visibility
  • practical workforce planning support
  • labor market interpretation

NOT:
  • black-box prediction systems
  • exaggerated AI claims
  • speculative forecasting
  • unsupported predictive precision

Benefits
What fellows receive
Predictive Analytics Fellows will have opportunities to:
  • contribute to workforce intelligence reports and publications
  • participate in applied workforce analytics initiatives
  • gain exposure to workforce planning systems and labor market analysis
  • contribute to workforce intelligence methodologies and forecasting support systems
  • build portfolio-quality workforce intelligence and analytics projects
  • collaborate on workforce intelligence dashboards and workforce visibility systems
  • participate in workforce intelligence discussions with researchers, analysts, and industry operators

As WIL expands, fellows may also have opportunities to participate in:
  • expanded research collaborations
  • advisory initiatives
  • future grant-supported projects
  • workforce intelligence publications and presentations
  • workforce forecasting and workforce planning initiatives

Apply