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Data Analytics Graduate Jobs (NOW HIRING)

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 ...

Experience in quantitative analysis of microdata (aka person-level data) related to economic ... Compensation and Benefits The hourly range is $18.40 for undergraduates, $21 for graduate students ...

SSRM Data Analytics Engineer

Englewood, CO ยท Remote

$113K - $135K/yr

Job Summary and Responsibilities Job Summary / Purpose The SSRM Data Analytics Engineer serves as ... Masters Other or Post Graduate Degree in a related field (e.g., MBA) and Healthcare and supply ...

$117K - $140K/yr

Job Summary and Responsibilities Job Summary / Purpose The SSRM Data Analytics Engineer serves as ... Masters Other or Post Graduate Degree in a related field (e.g., MBA) and Healthcare and supply ...

The Lecturer will teach courses for the Carr School of Accountancy at both the graduate and undergraduate levels in topics related to data analytics. Courses may be taught online, hybrid ...

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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 12, 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:
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.

Intern - Business Data Analytics

Munich Re

Dallas, TX โ€ข On-site

Other

Posted 24 days ago


Job description

Empower yourself!ย  Start building your career with a national industry leader!


Why intern at HSB?ย At Hartford Steam Boiler (HSB), a Munich Re company, you will learn what it is like to pursue a career at one of the world's largest reinsurance companies.
HSB's 11-week Summer Internship Program provides a well-rounded, engaging and enjoyable experience.ย  Below are some of the key experiences and benefits you can expect.
Program Highlights

  • Gain hands on experience.
  • Meet and gain insights from the Senior Leadership Team as well as other leaders and professionals in the organization to develop lasting professional relationships.
  • Networking opportunities.
  • Hybrid work schedule to include working on-site in the office and working from home.ย  ย ย 
  • Participate in community outreach.
  • Opportunity to gain career advice and help you prepare for navigating your career search.
  • Learn about great careers within the insurance and the impact they make.
  • Potential full-time career opportunities after graduation.

As a valued intern within our team you will have the opportunity for frequent interaction across multiple functions of the organization and gain real life experience and perform meaningful work that will prepare you for the right start to your career!ย 

Business Data Analytics Intern

  • This role is intended for aย graduate-level intern, not an undergraduate, due to the analytical depth, data sensitivity, and stakeholder exposure involved
  • Intern will work on production-adjacent datasets and deliver outputs that directly inform business and product decisions
  • Internship provides meaningful, resume-grade deliverables rather than exploratory or academic work

Requirements

  • Proficiency in SQL for analytical queries, joins, aggregation, and implementing KPI reporting
  • Working knowledge of data analysis tools such as Python, R, or similar
  • Familiarity with ETL/ELT pipelines and data warehouses (e.g. Snowflake, BigQuery)
  • Exposure to BI / dashboarding tools (e.g., Tableau, Power BI, Looker)
  • Ability to organize, analyze, and summarize datasets with strong attention to detail
  • Graduate student (Master's or PhD) in:
    • Data Analytics
    • Business Analytics
    • Statistics
    • Information Systems
    • Applied Mathematics
    • Computer Science (analytics or data-focused track)

(Graduate-level coursework preferred due to complexity and autonomy of work.)

ย 

Responsibilities

  • Design and build initial analytical dashboards to support product and services decision-making
  • Build basic ETL pipelines to aggregate data into a warehouse for analysis and dashboards
  • Analyze large datasets related to customer usage, risk signals, and operational performance
  • Develop repeatable reporting frameworks (KPIs, trend analysis, cohort analysis) to replace manual processes
  • Collaborate with stakeholders on data requirements, validations, documentations, and insights
  • Produce executive-ready summaries and visualizations translating data into actionable insights

At The Hartford Steam Boiler, a subsidiary of Munich Re, we see Diversity and Inclusion as a solution to the challenges and opportunities all around us. Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work. We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day. We recruit and develop talent with a focus on providing our customers the most innovative products and services. ย ย 
We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

We are an equal opportunity employer.ย  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.ย  The work environment characteristics, and any physical and mental requirements described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee.ย  Other duties, responsibilities and activities may change or be assigned at any time with or without notice.