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Data Analytics Graduate Jobs in Pennsylvania (NOW HIRING)

... data analysis, Python/SQL, Power BI/Tableau, automation, or predictive analytics . Academic or personal projects are absolutely relevant for this opportunity. If you're a student or recent graduate ...

A graduate degree in Data Science, Statistics, Economics, or a related quantitative field, or equivalent demonstrated expertise in formal analysis methodology. * Strong command of SQL, Python or R ...

... data analytics (prompt engineering, output analysis) Eagerness and curiosity to solve problems ... graduate programs; especially in preparation for census dates 5. Assist in producing official ...

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Data Analytics Graduate information

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$24

$54

$94

How much do data analytics graduate jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for data analytics graduate in Pennsylvania is $54.88, according to ZipRecruiter salary data. Most workers in this role earn between $44.09 and $62.16 per hour, depending on experience, location, and employer.

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.

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 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.

Is a master's degree in data analytics worth it?

For a data analytics graduate, a master's degree can enhance technical skills such as statistical analysis and data visualization, potentially leading to higher-level roles and increased salary. However, practical experience, certifications, and proficiency with tools like SQL and Python are also highly valued in the field and can sometimes substitute for advanced degrees. The decision depends on career goals and the specific requirements of employers in the industry.

What can I do with a master's degree in data analytics?

A master's degree in data analytics prepares graduates for roles such as data analyst, data scientist, or business intelligence analyst, involving skills in statistical analysis, data visualization, and programming with tools like SQL, Python, or R. These roles typically require strong analytical thinking, familiarity with data management, and the ability to interpret complex data to support decision-making.

What kind of 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. Strong analytical skills and knowledge of statistical methods are essential for these jobs.

What are the most commonly searched types of Data Analytics Graduate jobs in Pennsylvania?

The most popular types of Data Analytics Graduate jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Data Analytics Graduate jobs?

Cities in Pennsylvania with the most Data Analytics Graduate job openings:

Infographic showing various Data Analytics Graduate job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $114,147 per year, or $54.9 per hour.

Sr. Data Management Analyst - AI Ready Data

Vanguard Group, Inc.

Malvern, PA • On-site

$84K - $106K/yr

Full-time

Re-posted 15 days ago


Vanguard rating

8.7

Company rating: 8.7 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

16th of 154 rated financial services


Job description

Vanguard is looking for a senior level data analyst with experience presenting recommendations to senior management, developing innovative solutions, and is technically skilled in data quality & analytics tools. You will become an expert in the critical data managed, provide thought leadership into transformative decisions and initiatives, and deepen relationships and business acumen while consulting with stakeholders and partners, inclusive of our external data vendors. By innovating in new ways to improve our data management processes, we want to leverage evolving data management capabilities and analytics tools to move our clients forward creating trusted data to support AI Ready Data and BI solutions.
Core Responsibilities
  • Serves as a subject matter expert (SME) of data sets for a given industry, data storage systems, and the operational processes being supported. Maintains awareness of changing business needs to create appropriate project solutions.
  • Leads process design efforts to support new offerings, business initiatives, or improvement projects. Performs root cause analyses of complex data errors. Identifies opportunities to eliminate future occurrences, prioritizes initiatives, mitigates risk, leverages technology, and recommends short- and long-term solutions for issues.
  • Focuses on improving Data Management's service offer and communicates with stakeholders and management to obtain their input and buy-in as appropriate. Recommends, coordinates, documents, and implements changes that will enhance work-flows and procedures. Integrates new or existing technologies into work-flows and communicates to all team members. Analyzes impacts and prepares environment for change.
  • Builds and maintains relationships with internal and external partners to define data requirements, develop project specifications, and execute data projects to ensure that the expected outputs are delivered. Provides validation and approval of project deliverables.
  • Identifies solutions independently and with input from internal and external partners, external vendors, and industry contacts to enable best-in-class data management practices, scalability, and cost effectiveness. Leads and consults on new projects to ensure operational readiness upon implementation into the live environment.
  • Participates in special projects and performs other duties as assigned.

Qualifications
  • Intermediate to advanced technical skills required - SQL, Python, AWS, Tableau
  • Expertise in Data Management & Data Quality best practices.
  • Strong consultation, data storytelling, and stakeholder management skills
  • Strong professional presence and experience presenting recommendations to senior management.
  • Strong data analysis and problem-solving skills.
  • Skilled and passionate about developing innovative solutions.
  • Financial or Investment data background is a plus.
  • Minimum of five years of related work experience.
  • Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred.
  • Nice to have: Collibra, experience working with Metadata, MS Dynamics

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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