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Data Analyst Graduate Jobs (NOW HIRING)

Graduate with a degree in Computer Science, Information Systems, Business, or any related field ... data analysis. Develop and manage small data informatics projects. Ensure adherence to data ...

You don't need to be a full-stack engineer, but adding components to a React app shouldn't stop you cold. * (Plus) Degree or graduate study in data science or analytics * (Plus) Experience with Hex ...

We welcome applicants at all experience levels--whether you're a recent graduate looking to start your analytics journey or a seasoned data professional, we encourage you to apply. Most of our ...

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Data Analyst Graduate information

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$34K

$82.6K

$136K

How much do data analyst graduate jobs pay per year?

As of Sep 13, 2026, the average yearly pay for data analyst graduate in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is a data analyst graduate?

Data Analyst Graduates are individuals who have recently completed a degree or certification in data analysis, statistics, or a related field and are starting their careers in data analysis roles. They typically work with large sets of data to identify trends, generate reports, and provide actionable insights that help organizations make informed decisions. Data Analyst Graduates often use tools such as Excel, SQL, Python, or R to clean, analyze, and visualize data. Their work supports business strategies by uncovering patterns and solving real-world problems through data-driven approaches.

What are the key skills and qualifications needed to thrive as a data analyst graduate?

To thrive as a Data Analyst Graduate, you need a solid understanding of statistics, data manipulation, and analytical methods, typically gained through a degree in a quantitative field. Familiarity with tools such as Microsoft Excel, SQL, and data visualization platforms like Tableau or Power BI is commonly required. Strong problem-solving skills, attention to detail, and the ability to communicate findings clearly are essential soft skills that set candidates apart. These skills and qualities are crucial for extracting actionable insights from data and effectively supporting business decision-making.

What are some common challenges data analyst graduates face when transitioning from academic projects to real-world business data analysis?

One common challenge Data Analyst Graduates encounter is adapting to unstructured and messy real-world data, which often requires extensive cleaning and preprocessing before analysis can begin. Unlike academic datasets, business data may have inconsistencies, missing values, and complex relationships that require creative problem-solving. Additionally, graduates must learn to balance technical analysis with clear communication, translating insights into actionable recommendations for non-technical stakeholders. Collaborating effectively within cross-functional teams and managing tight deadlines are also key skills that take time to develop in a professional setting.

What is the difference between Data Analyst Graduate vs Data Analyst?

AspectData Analyst GraduateData Analyst
Required CredentialsTypically a bachelor's degree in a related field; some internships or entry-level certificationsOften requires a bachelor's degree; certifications like SQL, Excel, or Tableau are common
Work EnvironmentEntry-level, training-focused, often in corporate or consulting settingsFull-time professional role, working with teams on data projects in various industries
Employer & Industry UsageInternships, graduate programs, entry-level roles in finance, marketing, techEstablished roles across finance, healthcare, tech, retail, and more

The main difference is that a Data Analyst Graduate is an entry-level position or program for recent graduates, focusing on learning and development. A Data Analyst is a more experienced professional responsible for analyzing data, creating reports, and supporting decision-making in organizations.

More about Data Analyst Graduate jobs

What cities are hiring for Data Analyst Graduate jobs?

Cities with the most Data Analyst Graduate job openings:

What are the most commonly searched types of Data Analyst Graduate jobs?

The most popular types of Data Analyst Graduate jobs are:

What states have the most Data Analyst Graduate jobs?

States with the most job openings for Data Analyst Graduate jobs include:

What are popular job titles related to Data Analyst Graduate jobs?

For Data Analyst Graduate jobs, the most frequently searched job titles are:

Infographic showing various Data Analyst Graduate job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Analytics Graduate 2027 Summer Intern

Columbus, OH • Hybrid

Temporary, Internship

Posted 3 days ago

New


Job description

Description

Data Analyst Graduate Internship

We're developing the next generation of Colleagues!

Join the data-driven culture at Citizens and learn how we keep customers at the center of everything we do. We are looking for interns to join our 10-week summer internship program and support innovative data & analytics initiatives across the bank. 

Experience during the program

Our program offers interns a unique dual experience - Participants spend half of their time individually partnered with a host team within the data & analytics community to participate in ongoing work. Assignments for data analyst interns may be in areas aligned to advanced analytics, reporting and dashboarding, data visualization, data mining, automation, root-cause analysis, cohort analysis, and other ad-hoc analysis. This component of the program provides direct exposure to teams in areas that align to intern education and interests.

The other half of the time, interns work on a cross-functional team, collaborating with other Data & Analytics interns, colleagues, and business partners to work on a real-world project. Projects are tailored so interns can experience the full project cycle. Past projects centered on areas such as enhancing the customer experience, optimizing business spend, identifying new market opportunities, providing business insights, model development, and engineering metrics & dashboarding.  

Interns are expected to adopt a hybrid work structure and work out of one of our headquarters in Columbus, OH, Johnston, RI, or Boston, MA

Please note: This role spans multiple teams and business areas. As such, specific responsibilities and tools may vary depending on the host team. Interns will be matched with teams to ensure meaningful contributions and strong collaboration.

As a Data Analyst Intern, you will have the opportunity to:

  • Work with business partners and mentors to review the business question, project objectives, available data, and to gather requirements to understand the best analytical approach

  • Work within our data repositories to assemble, manage, and investigate relevant data

  • Quantify information and sort it for analysis, investigate and highlight trends

  • Collect, identify, analyze, and interpret business data to enable strategic decision-making for business needs and requirements. Learn the pros and cons of different approaches, tools, techniques, and methodologies.

  • Effectively communicate with cross-functional partners and internal teams to deliver solutions in a timely fashion, using storytelling to present data in a persuasive manner

  • Gain feedback from partners and iteratively fine tune an approach to sufficiently resolve the question and maximize business impact

  • Present their contributions to colleagues and business leaders as a capstone exercise 

What you'll need to apply

Basic Qualifications 

  • Successfully complete a video interview assessment within 4 days of receiving the link. If not completed within the timeframe, your application will be automatically withdrawn from consideration.

  • Currently enrolled in a graduate program (Master's or PhD) in Data Analytics, Statistics, Mathematics, Economics, Finance, Computer Science, or a related quantitative field
  • Expected graduation date between December 2027 and Spring 2028 for Master's students or concurrently enrolled in a PhD program
  • Minimum GPA of 3.0
  • Experience working with structured and unstructured datasets, including data cleaning, transformation, and exploration
  • Valuing Diversity and Inclusion: Respects individual differences and recognizes the uniqueness of all people. Understands and appreciates diverse cultures, values, beliefs, opinions, and generational perspectives. Embraces the idea that all human differences have value.

Preferred Qualifications

  • Technical Familiarity: Exposure to or interest in learning tools such as Amazon RedshiftSnowflakeAmazon S3, and Alteryx. Prior experience is a plus but not required.
  • Learning Mindset: Eagerness to learn from mentors and business partners, and to grow technical and business acumen through hands-on project work.

  • Team Collaboration: Demonstrated ability to thrive in a team environment and collaborate effectively with colleagues from diverse backgrounds and business units.
  • Communication Skills: Strong written and verbal communication skills, with the ability to clearly explain analytical findings, business insights, and their impact to non-technical stakeholders.
  • Analytical Thinking: Solid analytical reasoning and problem-solving skills, with the ability to break down complex problems using logic and quantitative methods.
  • Curiosity & Initiative: A strong sense of curiosity and ownership, with a proactive approach to asking thoughtful questions, researching unfamiliar topics, and seeking clarity on project goals.
  • Resilience & Drive: Demonstrated persistence and tenacity-willingness to work through challenges, adapt to feedback, and stay focused on delivering results.

Find more information about Enterprise Data and Analytics Early Career Program HERE

Please note that permanent work authorization in the United States is required. This position is not eligible for CPT, OPT, or visa sponsorship, now or in the future.


Hours and Work Schedule
Hours per Week: 40
Work Schedule: M-F 8:30am - 5pm

Some job boards have started using jobseeker-reported data to estimate salary ranges for roles. If you apply and qualify for this role, a recruiter will discuss accurate pay guidance.

Equal Employment Opportunity

Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.

Education:Why Work for UsEmployment Type: 1ST