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How much do data analytics graduate jobs pay per hour?

As of Aug 15, 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 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 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?

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.

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Data Analytics Graduate jobs near you
Infographic showing various Data Analytics Graduate job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.

Advanced Data Analytics Manager- CX

Vangard, Inc.

Malvern, PA

Full-time

Re-posted 9 days ago

Job description

What you will have as an Advanced Data Analytics Manager

  • Problem solving skills: Ability to formulate a framework and roadmap to solve through complex and ambiguous business/product problems in partnership with various data functions

  • Knowledge of advanced analytics methods: Hands on expertise in data profiling, modeling to deliver a deep understanding of outcome drivers and curated insights/recommendations for next steps

  • Strong analytical skills, coupled with the ability to form hypotheses and draw meaningful insights from disparate data sources. The ability to understand data, process it, extract value from it, visualize it and communicate insights to audiences of various backgrounds, including senior management.

  • Ability to seamlessly translate business and technical dimensions: Coach and mentor analysts to identify business opportunities and breakdown complex business problems into analytics workstreams. Ensure that all work deliverables lead to enhanced enterprise and client outcomes.

  • Ability to synthesize and communicate the analytics perspective to technical and non-technical senior leadership. Deliver clear and concise presentations to showcase the value of analytics in solving through complex CX challenges.

  • Expert stakeholder management skills - actively build and deliver the analytics roadmap, OKRs. Experience in collaborating through a matrixed organization for delivery

  • Foresight and Planning skillset: Ability to recognize ongoing and repetitive needs that can be operationalized to free up analytics bandwidth for higher value work. Pre-empt requests and plan roadmap for various deliverables and roadshows.

Nice to have:

  • Experience in experimentation

  • Digital/Web analytics background

  • Adobe data tagging/capture knowledge


Qualifications:

  • Minimum of eight years related work experience in Analytics and Data Science

  • Experience working in SQL, Python, Tableau, and AWS.

  • Experience through progressive growth from hand-on analytics to people leadership

  • Minimum of 3 years experience building and presenting executive level PowerPoint presentations.

  • Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred.

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission-we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

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