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Data Analyst Graduate Jobs in Pennsylvania (NOW HIRING)

Chatham

Graduate Assistant - Research

Pittsburgh, PA

Graduate Research Assistant (2) School of Business and Enterprise Position Overview The School of ... This position offers valuable hands-on experience in business research methodologies, data analysis ...

Villanova University

Graduate Assistant

Villanova, PA · On-site

$18/hr

Graduate Assistant Posting Type Graduate Assistant Hours/week: up to 10 Eligibility: Work study ... human subjects research; preparing data for analysis, assessing missing data, and recoding ...

Kanak Elite Services Inc

Data Engineer

Malvern, PA · On-site

$112K - $134K/yr

Minimum of 8 years data analytics, programming, database administration, or data management experience. * Undergraduate degree or equivalent combination of training and experience. Graduate degree ...

Messiah University

Research Analyst

Mechanicsburg, PA · On-site

... data for undergraduate and graduate programs; especially in preparation for census dates 5. Assist ... survey review and analysis pertinent to assessment activities 9. Support innovation in data ...

The Pennsylvania State University

The Forensic Science Program at The Pennsylvania State University seeks to fill a Graduate Research ... Using R or other relevant software to perform preliminary data analysis * Any other relevant ...

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Showing results 21-40

All JobsData Analyst Graduate JobsData Analyst Graduate Jobs in Pennsylvania

Data Analyst Graduate information

See Pennsylvania salary details

$34.1K

$82.8K

$136.3K

How much do data analyst graduate jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data analyst graduate in Pennsylvania is $82,839.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,600.00 and $97,200.00 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.

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

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

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

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

What job categories do people searching Data Analyst Graduate jobs in Pennsylvania look for?

The top searched job categories for Data Analyst Graduate jobs in Pennsylvania are:

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

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

Data Analyst Graduate jobs near you
Infographic showing various Data Analyst 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 $82,839 per year, or $39.8 per hour.

Data Analyst, Product & Distribution Strategy Analytics

Vangard, Inc.

Malvern, PA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Key responsibilities

  • Partner with business stakeholders to understand their questions and translate them into analytical projects, leading complex initiatives through completion.

  • Acquire, compile, and verify the quality of structured and unstructured data for analysis.

  • Perform analyses of historical data to identify trends and insights, and develop visualizations and presentations to communicate findings.

Job description

Product & Distribution Strategy Analytics is growing! We're opening a new role to support some of the most important questions facing the Personal Wealth business-how we drive growth, retain clients, and plan for what's next. As part of this horizontal analytics team, you'll partner closely with both Product and Distribution leaders and work across key workstreams including Cash Flow, Retention, and Forecasting. The role spans a wide range of analytical work, from ownership of core metrics and reporting to deeper driver analysis, timeseries modeling, and AI/ML solutions that help inform growth and retention strategy for the division. If you enjoy variety, close business partnership, and seeing your work directly influence decisions, this role has plenty to offer.

Responsibilities

1. Engages with internal partners to understand business strategy, questions and goals. Brings structure to business requests, translates requirements into an analytical project approach, and leads complex projects through completion. Delegates tasks and provides tactical and strategic guidance to peers. Serves as the analytics expert on cross-functional teams for large strategic initiatives.

2. Acquires and compiles structured and unstructured data and verifies its quality, accuracy and reasonableness.

3. Performs analyses of historical data to surface trends and insights using advanced analytical methods. Validates analytical techniques employed by other analysts.

4. Prepares and delivers expert level visualizations and internal presentations that translate analytic insights into tangible, actionable solutions for business partners to implement.

5. Develops, owns and manages recurring analytic or reporting processes.

6. Actively develops the analytics community at Vanguard by mentoring, coaching and connecting others with resources and training. Participates and presents during scheduled analytics seminars.

7. Participates in special projects and performs other duties as assigned.


Qualifications

  • Minimum of five years related work experience.
  • Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred.
  • Expertlevel SQL with experience building, validating, and maintaining complex queries and datasets used for executive reporting and analysis.
  • Strong Tableau skills, including designing intuitive, businessready dashboards and translating complex data into clear, actionable insights.
  • Advanced Python experience for analysis, modeling, and automation (e.g., pandas, NumPy, stats/ML libraries).
  • Proven data science skillset, including:
    • Driver and rootcause analysis
    • Timeseries forecasting and trend analysis
    • Segmentation and exploratory modeling
    • Applying AI/ML techniques to real business problems
  • Ability to partner closely with business stakeholders to translate ambiguous questions into structured analyses and clear recommendations.
  • Comfortable working across reporting and deepdive analytics-owning both the "what happened" and the "why it happened / what's next".

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.

Apply