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Data Analytics Graduate Jobs (NOW HIRING)

Lincoln Financial

Analyst, Data Analytics

Omaha, NE · Hybrid

Graduate degree in Computer Science, Data Analytics, Information Systems, or related field or equivalent work experience. * 4+ years of experience in SQL programming (e.g. MSSQL, Oracle, or similar ...

G-P

OR · On-site

$60K/yr

Currently pursuing an Undergraduate or Graduate degree in Data Analytics, Data Science, Information Technology, Statistics, or a highly quantitative field. The annual gross base salary range for this ...

Molina Healthcare

Manager, Data Analytics

Long Beach, CA · On-site +1

$79K - $172K/yr

Performs research and analysis of complex Clinical Data - Utilization & Care Management Data ... Graduate Degree or equivalent combination of education and experience To all current Molina ...

Optimum

Manager - Data Analytics

Long Island City, NY · On-site

$123K - $202K/yr

... Graduate degree in related field preferred) • Minimum 7-10 years' experience in leading data ... analytics projects and building data solutions • Minimum 4 years of management experience, with ...

Optimum

Manager - Data Analytics

Long Island City, NY · On-site

$123K - $202K/yr

... Graduate degree in related field preferred) Minimum 7-10 years' experience in leading data ... analytics projects and building data solutions Minimum 4 years of management experience, with the ...

TrinityRail

Data Analytics Intern

Dallas, TX · On-site

Trinity Industry is looking for Data Analytics Interns for our office in Dallas, TX . This position ... Master's or PhD candidate or recent graduate in Data Science, Machine Learning, Computer Science ...

Equifax

Data & Analytics Intern

Alpharetta, GA · On-site

Graduate students obtaining a Master's degree in Data Science, Statistics, Analytics, Mathematics, or Computer Science or a related STEM field * Expected graduation date of May 2027 * Experience or ...

Munich Re

Intern - Business Data Analytics

Chicago, IL · On-site

This role is intended for a graduate-level intern , not an undergraduate, due to the analytical depth, data sensitivity, and stakeholder exposure involved * Intern will work on production-adjacent ...

Trinity Industries

Data Analytics Intern

Dallas, TX · On-site

Trinity Industry is looking for Data Analytics Interns for our office in Dallas, TX . This position ... Master's or PhD candidate or recent graduate in Data Science, Machine Learning, Computer Science ...

Munich Re

Intern - Business Data Analytics

Hayward, CA · On-site

This role is intended for a graduate-level intern , not an undergraduate, due to the analytical depth, data sensitivity, and stakeholder exposure involved * Intern will work on production-adjacent ...

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Data Analytics Graduate information

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How much do data analytics graduate jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for data analytics graduate in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

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

A degree in data analytics can lead to roles such as data analyst, business intelligence analyst, data scientist, or data engineer. These positions involve analyzing data sets, creating reports, and using tools like SQL, Python, or Tableau to support decision-making across various industries.

What are the key skills and qualifications needed to thrive in the Data Analytics Graduate position, and why are they important?

To thrive as a Data Analytics Graduate, you need a solid understanding of statistics, data modeling, and analytical techniques, usually supported by a relevant degree in mathematics, statistics, computer science, or a related field. Familiarity with tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is highly valued, and certifications in these can provide an added advantage. Strong problem-solving abilities, attention to detail, and effective communication skills help you distill complex data sets into actionable insights and present findings to diverse stakeholders. These skills are essential for delivering data-driven solutions that support business decisions and foster organizational growth.

What does a graduate data analyst do?

A graduate data analyst collects, processes, and analyzes data to help organizations make informed decisions. They use tools like Excel, SQL, and data visualization software, and often work under supervision to develop their skills and understanding of data trends and patterns.

Is 40 too late for data science?

The Data Analytics Graduate role typically requires strong analytical skills and familiarity with tools like SQL, Python, or R. Age is not a barrier; many professionals transition into data science later in their careers by gaining relevant skills and certifications. Success depends on your ability to learn and adapt, regardless of age.

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

A degree in data analytics qualifies you for roles such as data analyst, business intelligence 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. Strong analytical skills and knowledge of statistical methods are essential for success in these jobs.

What are typical career paths or growth opportunities for a Data Analytics Graduate?

As a Data Analytics Graduate, you often start by supporting more senior analysts with data preparation, exploratory analysis, and report generation. Over time, you can advance to positions such as Data Analyst, Business Intelligence Analyst, or Data Scientist, depending on your interests and ongoing skill development. Many organizations encourage further training and offer mentorship to help you specialize in areas like machine learning, data engineering, or domain-focused analytics. With experience and demonstrated impact, leadership roles such as Analytics Manager or Team Lead become attainable, providing broader responsibilities and strategic input into organizational decision-making.

What is a Data Analytics Graduate job?

A Data Analytics Graduate job is an entry-level role designed for recent graduates with a background in data science, statistics, or related fields. It typically involves collecting, cleaning, analyzing, and visualizing data to help organizations make data-driven decisions. Graduates in this role may work with tools like SQL, Python, Excel, and data visualization software to interpret trends and patterns. They often collaborate with different departments to provide insights that optimize business processes. This role serves as a foundation for more advanced positions in data analytics or data science.

More about Data Analytics Graduate jobs
What cities are hiring for Data Analytics Graduate jobs? Cities with the most 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 Data Analytics Graduate jobs? States with the most job openings for Data Analytics Graduate jobs include:
What job categories do people searching Data Analytics Graduate jobs look for? The top searched job categories for Data Analytics Graduate jobs are:
Data Analytics Graduate jobs near you
Infographic showing various Data Analytics Graduate job openings in the United States as of June 2026, with employment types broken down into 24% Internship, 52% Full Time, 18% Part Time, and 6% Temporary. Highlights an 88% In-person, 6% Hybrid, and 6% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.
Senior Professional Data Analyst - Graduate School

Senior Professional Data Analyst - Graduate School

University of Colorado

Boulder, CO • On-site

$89K - $112K/yr

Full-time

Medical, Dental, Retirement, PTO

Posted 4 days ago

University Of Colorado rating

8.0

Company rating: 8.0 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

149th of 535 rated colleges and universities

Job description

Job Summary
The Dean of the Graduate School at CU Boulder is searching for a Senior Professional Data Analyst! This role is responsible for the robust development, collection, analysis, interpretation, and visualization of varied complex institutional and cocurricular data sets relevant to graduate education and the strategic goals of the Graduate School. This position manages survey administration and analysis, performs data manipulation and analysis, and creates data products, reports, and dashboards.
As a senior professional level position, the incumbent is expected to apply deep understanding of theory and practice to define and solve problems of significant scope and complexity, often with non-standard solutions. The position will perform work independently and be a resource to other Graduate School team members. The role will also be expected to communicate complex concepts to individuals outside of the department.
This position will support the Graduate School in their academic mission and central initiatives, serving as a liaison between the Graduate School and the Data & Analytics team within the Office of Information Technology.
CU is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We are committed to creating a workplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds to apply, including protected veterans and individuals with disabilities.
Who We Are
The Graduate School at the University of Colorado Boulder serves as the intellectual crossroads of the university. Nearly 6,000 graduate students from around the world come to CU Boulder to pursue graduate certificates, master's and doctoral degrees in over 130 programs. The Graduate School ensures the quality of graduate education at the University of Colorado Boulder by facilitating educational innovations, providing guidance on standard methodologies, and helping to grow and support a vibrant and diverse graduate student community.
What Your Key Responsibilities Will Be
Create Data Strategy and Products
  • Support data gathering and analysis to develop the Graduate School's overall data strategy, reworking raw data into clear, actionable insights, and providing the department with a comprehensive understanding of the data's implications for decision-making and planning.
  • Design, develop, and maintain self-service data dashboards using databases, CRM systems, and Tableau that integrate multiple data sources, enabling Graduate School leadership, student services staff, and graduate programs to easily access and explore key insights.
  • Lead longitudinal data collection and analysis for graduate education, including coordination of surveys, career outcomes data, and key institutional metrics to support ongoing assessment and strategic decision-making.
  • Produce and maintain dashboards and reports to support graduate program assessment, student tracking, and advising, while being a central resource for data location, system integration, and effective use of institutional databases and CRM platforms.
  • Design surveys or other evaluation methods to measure effectiveness of graduate school programming. Analyze results and create infographics and other materials showing program efficacy.
  • Assist with development of executive summaries, slide decks, one-page infographics, and other work, providing insights for presentation of visually compelling and persuasive summaries in reports and presentations to internal and external partners. Assist with presentations, including trainings and presentations of major research/measurement findings.
  • Create and maintain complex files, spreadsheets, databases, reports, queries, etc. based on stated objectives and regularly monitors and reports on the status and completion rates.
  • Be the liaison between Data & Analytics and Graduate School.

Survey Administration and Analysis
  • Collaborate with supervisor, project lead, and campus partners on survey design and methodology, providing guidance on standard processes and refining surveys to address needs.
  • Select and apply survey methodologies to ensure valid and reliable data collection.
  • Serve as the lead administrator and analyst for graduate level surveys, including managing survey setup, invitations, reminders, incentives.
  • Clean and structure response data for analysis and reporting.
  • Select and apply appropriate data management, analytic, and data visualization methods for surveys to interpret results.
  • Assist with administration, analysis, visualization, and presentation of results of student evaluations of teaching (i.e. FCQs).

Data Manipulation and Analysis
  • Engage with Data & Analytics to identify business requirements and data needs related to Graduate School requests, projects, and services.
  • Identify, review, arrange, and collect data to meet Graduate School project specifications and minimize the limitations of subsequent analysis and reports.
  • Curate appropriate data sets to optimize data products.
  • Effectively document code, analytical methods, data sources, and project specs and statuses in the appropriate repository (e.g. GitHub, Atlassian, etc).
  • Evaluate data assets to understand how existing data can inform decision-making or improve processes.
  • Maintain a data governance and security approach; use appropriate documentation, controls, levels of security, and approvals on data sets, reports, and other products.
  • Collaborate with data engineers to request and improve data pipelines and create integrity checks that ensure accuracy and completeness of data sets.

What You Should Know
This position has the ability to work in a hybrid work modality, with required attendance at meetings based on existing needs. The anticipated work schedule is Monday - Friday during regular business hours.
What We Can Offer
The salary range for this position is $90,000 - $96,900 annually. Onboarding assistance is available within department guidelines.
Benefits
At the University of Colorado Boulder , we are committed to supporting the holistic health and well-being of our employees. Our comprehensive benefits package includes medical, dental, and retirement plans; generous paid time off; tuition assistance for you and your dependents; and an ECO Pass for local transit. As one of Boulder County's largest employers, CU Boulder offers an inspiring academic community and access to world-class outdoor recreation. Explore additional perks and programs through the CU Advantage program.
Be Statements
Be ambitious. Be pioneering. Be Boulder.
What We Require
  • A bachelor's degree in statistics, applied math, computer science, data science, or related field.
  • 3 years of professional experience including:
  • Developing research questions and methodologies, curating data sets, conducting analysis, and building data tools and products, and
  • Using reproducible data analytics workflows, and
  • Using SQL, Python, R, and/or SAS for data queries, data manipulation, and analysis, and
  • Using Tableau or other data visualization tools.

What You Will Need
  • An intellectual curiosity about higher education and how data analytics can advance the university's mission.
  • Skilled in working directly with customers to understand their requirements and translate their needs into data analysis problems and products.
  • Strong written and verbal communication skills with an ability to clearly communicate technical concepts to non-technical audiences.
  • Proficient in data preparation and processing (automating data cleaning and integrity testing) and ability to work with structured and unstructured data.
  • Proficiency with descriptive and exploratory data analysis, advanced statistical analysis, predictive modeling, casual and quasi-casual analysis, and/or natural language processing.
  • Demonstrated proactive work style and creative problem-solving skills.
  • Manage multiple projects and prioritize them appropriately.
  • Attentive to detail, quality, and follow-through with a commitment to continuous improvement.
  • Demonstrated ability in and desire to stay ahead of emerging technologies and adapting to new technologies and tools.
  • Demonstrated organizational skills in handling, directing, and prioritizing multiple and complex assignments and projects.
  • Able to work independently and in collaborative environments and contribute to positive work culture.
  • Commitment to act in alignment with the department, the campus, and the university's values.

What We Would Like You to Have
  • A master's or doctoral degree in applied math, data science, statistics, computer science or related field.
  • 6 years of professional experience which includes:
  • Developing research questions and methodologies, conducting analyses, curating data sets, producing data reports and dashboards, and building data products and tools.
  • Using reproducible data analytics workflows, including version-controlled codebases in GitHub or similar.
  • Proficiency using SAS for data queries, manipulation, and analysis.
  • Mastery in using Python/R and SQL for data queries, manipulation, and analysis.
  • Mastery in multiple applied statistical methodologies or machine learning techniques.
  • Experience with cloud computing environments and data infrastructure.
  • Mastery with Tableau.
  • Experience working in higher education settings, especially with intuitional data such as in an Institutional Research (IR) unit or other data related role.
  • Experience working with large CRM systems (e.g. Salesforce, Slate).

Special Instructions
To apply, please submit the following materials:
  1. A current resume.
  2. A cover letter that specifically tells us how your background and experience align with the requirements, qualifications, and responsibilities of the position.

We may request references at a later time.
Please apply by June 14th, 2026 for consideration.
Note: Application materials will not be accepted via email. For consideration, please apply through CU Boulder Jobs .
In compliance with the Colorado Job Application Fairness Act, in any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

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