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Data Analytics Associate Jobs in Pennsylvania (NOW HIRING)

Senior Data Analyst

Crum Lynne, PA · On-site

$90K - $150K/yr

As part of the Data Analytics Team, you will help with development of TransUnion's IP Geolocation ... We strive to build an environment where our associates are in the driver's seat of their ...

Senior Data Analyst

Crum Lynne, PA · On-site

$90K - $150K/yr

As part of the Data Analytics Team, you will help with development of TransUnion's IP Geolocation ... We strive to build an environment where our associates are in the driver's seat of their ...

Associate Data Scientist

Pittsburgh, PA · On-site

$57K - $57K/yr

Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and artificial intelligence to help our government and industry clients research and solve cybersecurity ...

This Data Analyst will primarily support the program's initiatives by reviewing data submissions ... Associate degree in business administration or related field or high school diploma with additional ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Showing results 21-40

Data Analytics Associate information

See Pennsylvania salary details

$3.3K

$6.3K

$9K

How much do data analytics associate jobs pay per month?

As of Aug 10, 2026, the average monthly pay for data analytics associate in Pennsylvania is $6,305.75, according to ZipRecruiter salary data. Most workers in this role earn between $5,725.00 and $6,725.00 per month, depending on experience, location, and employer.

What does a data analytics associate do?

A Data Analytics Associate is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and data visualization techniques to identify trends, patterns, and insights from large datasets. Typically, they collaborate with different departments to interpret results, create reports, and provide actionable recommendations for process improvements or strategic planning. Their work is crucial for organizations looking to leverage data for competitive advantage.

How does a data analytics associate typically collaborate with other departments within a company?

Data Analytics Associates frequently work cross-functionally, partnering with teams such as marketing, finance, and operations. They help these departments interpret data, identify trends, and develop actionable insights that inform decision-making. Collaboration often involves attending meetings, participating in project teams, and communicating findings through reports or presentations. This close teamwork not only enhances business outcomes but also provides associates with exposure to different aspects of the organization, fostering professional growth.

What are the key skills and qualifications needed to thrive as a data analytics associate?

To thrive as a Data Analytics Associate, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields like mathematics, economics, or computer science. Familiarity with data analysis tools such as SQL, Python, Excel, and visualization platforms like Tableau is typically required. Exceptional problem-solving abilities, attention to detail, and effective communication are crucial soft skills for interpreting data and presenting findings. These skills ensure accurate data-driven insights that support informed business decisions and drive organizational success.
What are the most commonly searched types of Data Analytics jobs in Pennsylvania? The most popular types of Data Analytics jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Data Analytics Associate jobs? Cities in Pennsylvania with the most Data Analytics Associate job openings:
Infographic showing various Data Analytics Associate job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $75,669 per year, or $36.4 per hour.

Quantitative Analytics & Model Associate - Data, Modeling, & Analytics

PNC Bank

Pittsburgh, PA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New


PNC Bank rating

7.7

Company rating: 7.7 out of 10

Based on 345 frontline employees who took The Breakroom Quiz

93rd of 170 rated banks


Job description

Position OverviewAt PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Quantitative Analytics & Model Associate within PNC's Data, Modeling, & Analytics organization, you will be based in Pittsburgh or Philadelphia, PA.
Key Responsibilities:
Design analytical models to assess the risk of the card portfolio.
Analyze large datasets using advanced tools and methodologies to generate actionable insights and support strategic decision-making.
Conduct portfolio reviews, loss forecasting, and identify opportunities to improve returns and drive business growth.
Utilize tools such as Python, SQL, Excel, and Tableau to support data analysis and visualization.
Preferred skills and experience:
Strong proficiency in analytical tools and programming languages (e.g., Python, SQL).
Expertise in data visualization and reporting using Excel and Tableau.
Excellent communication skills with the ability to translate complex data into clear business insights.PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals.PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.Job Description
  • Performs advanced quantitative analysis and model development through the application of statistical techniques with limited supervision.
  • Performs statistical and quantitative analysis and model development to support decision-making by running statistical strategies and working with various asset classes.
  • Analyzes and develops new model frameworks in order to support the needs of the line of business. Refines, monitors and reviews existing models. Conducts on-going communication with model owners and model developers during the course of the review. Works with large data to create models.
  • Peforms and analyzes quantitative statistical analysis and develops financial reports. Analyzes qualitative and quantitative assessments of all aspects of models including theoretical aspects, model design and implementation as well as data quality and integrity. Analyzes complex financial reports and associated statistical analysis. Analyzes existing models and make recommendations. Uses quantitative tolls and technique to measure and analyze risks.
  • Uses quantitative tools and techniques to evaluate identified model risks and reaches conclusions on strengths and limitations of the model. Prepares and analyzes detailed documents for validation and regulatory compliance.

PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:

  • Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
  • Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.
Qualifications

Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.

Preferred SkillsAnalytical Thinking, Credit Risks, Data Analytics, Financial Analysis, Model Development, Operational Risks, Quantitative Models, Risk AppetiteCompetenciesBank Quantitative Analysis, Consulting, Data Gathering and Reporting, Effective Communications, Predictive Analytics, Quantitative Techniques, Regulatory Environment - Financial Services, TestingWork ExperienceRoles at this level typically require a university / college degree with < 1 year of professional experience and/or successful completion of a formal development program. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.EducationBachelorsCertificationsNo Required Certification(s)LicensesNo Required License(s)BenefitsPNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.

To learn more about these and other programs, including benefits for full time and part-time employees, visitpncthrive.com.

Disability Accommodations Statement

If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com. Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call 877-968-7762 and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.


At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.

Equal Employment Opportunity (EEO)


PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.

This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.

California Residents

Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.


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