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Associate Degree In Data Analytics Jobs in Pennsylvania

Bachelor's degree preferred * Exposure to and proven capabilities in data analytics * Strong understanding of statistics and familiarity with statistical software applications such as SPSS, Python ...

Data Governance Analyst

Pittsburgh, PA · On-site

$100K - $120K/yr

Master's degree in Information Systems, Data Analytics, Computer Science, Business Analytics, Data Science, or a related field. * 4-6 years of experience in Data Governance, Data Management, Business ...

Industrial Data Analytics Engineer

Mcelhattan, PA · On-site

$64K - $86K/yr

... • Support data analytic activities including analyzing raw data and developing effective ... degree is preferred, plus 3 years work experience in a manufacturing environment • Specific ...

... in data and analytics engineering focus on leveraging advanced technologies and techniques to ... Degree in Management Information Systems, Computer and Information Science, Systems Engineering ...

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 ...

... in data and analytics engineering focus on leveraging advanced technologies and techniques to ... Degree in Management Information Systems, Computer and Information Science, Systems Engineering ...

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract ... Degree - At least 5 years of experience What Sets You Apart - AWS Certified Data Analytics ...

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract ... Degree - At least 5 years of experience What Sets You Apart - AWS Certified Data Analytics ...

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract ... Degree - At least 5 years of experience What Sets You Apart - AWS Certified Data Analytics ...

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract ... Degree - At least 5 years of experience What Sets You Apart - AWS Certified Data Analytics ...

Associate Data Scientist

Pittsburgh, PA

$57K - $57K/yr

Experience in predictive modeling, data science, and/or AI & machine learning * Deep understanding of statistical modeling techniques and advanced data analytics * Proficient with at least one ...

Showing results 41-60

Associate Degree In Data Analytics information

See Pennsylvania salary details

$3.3K

$6.3K

$9K

How much do associate degree in data analytics jobs pay per month?

As of Aug 6, 2026, the average monthly pay for associate degree in data analytics 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 are the key skills and qualifications needed to thrive with an associate degree in data analytics?

To thrive with an Associate Degree in Data Analytics, you need strong analytical thinking, data interpretation, and foundational statistics knowledge, typically supported by coursework in mathematics and computer science. Familiarity with tools such as Excel, SQL, and data visualization platforms like Tableau or Power BI is often required. Attention to detail, problem-solving, and clear communication are standout soft skills for conveying insights and collaborating with stakeholders. These skills ensure effective data-driven decision-making and the ability to translate complex data into actionable business solutions.

What can you do with an associate degree in data analytics?

An associate degree in data analytics prepares individuals for roles such as data analyst, data technician, or business intelligence assistant. These positions involve collecting, processing, and analyzing data using tools like Excel, SQL, and visualization software to support decision-making in various industries.

What types of entry-level positions can someone with an associate degree in data analytics typically pursue, and what do those roles involve on a daily basis?

Graduates with an Associate Degree in Data Analytics are often well-suited for roles such as data technician, junior data analyst, or business intelligence assistant. In these positions, daily tasks typically include collecting, cleaning, and organizing data, generating basic reports, and supporting senior analysts with data visualization and simple statistical analyses. Teamwork is common, as you'll often collaborate with IT staff, managers, and other analysts to ensure data integrity and deliver actionable insights to various departments. These roles offer valuable exposure to real-world datasets and analytics tools, laying a strong foundation for career growth or further education.

Is an associate degree in data analytics worth it?

An associate degree in data analytics provides foundational skills in data collection, analysis, and visualization, which can qualify individuals for entry-level roles such as data technician or junior analyst. It is a cost-effective way to gain relevant knowledge and may lead to further certifications or education to advance in the field.

What is the difference between Associate Degree In Data Analytics vs Data Analyst?

AspectAssociate Degree In Data AnalyticsData Analyst
Required CredentialsAssociate degree, certifications in data toolsBachelor's degree often preferred, certifications beneficial
Work EnvironmentEntry-level, data-focused roles in various industriesOffice settings, tech companies, finance, healthcare
Employer & Industry UsageEmployers seeking foundational data skillsEmployers requiring data interpretation and reporting

The Associate Degree In Data Analytics provides foundational skills suitable for entry-level data roles, while Data Analysts typically have a bachelor's degree and more experience in analyzing and interpreting data. Both roles are common in various industries, but Data Analysts often take on more complex projects and responsibilities.

What is an associate degree in data analytics?

An Associate Degree in Data Analytics is a two-year undergraduate program that provides foundational knowledge and skills in data analysis, statistics, and data management. Students learn how to collect, process, and analyze data to support decision-making in various industries. The curriculum typically includes courses in mathematics, programming, database management, and business analytics. Graduates are prepared for entry-level positions such as data technician, junior data analyst, or may choose to continue their education with a bachelor's degree in a related field.
What are popular job titles related to Associate Degree In Data Analytics jobs in Pennsylvania? For Associate Degree In Data Analytics jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Associate Degree In Data Analytics jobs in Pennsylvania look for? The top searched job categories for Associate Degree In Data Analytics jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Associate Degree In Data Analytics jobs? Cities in Pennsylvania with the most Associate Degree In Data Analytics job openings:

Data Scientist Senior - Data, Modeling & Analytics

PNC Bank

Pittsburgh, PA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday


PNC Bank rating

7.7

Company rating: 7.7 out of 10

Based on 343 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 Data Scientist Senior within PNC's Data, Modeling & Analytics organization, you will be based in Pittsburgh, PA, Tysons Corner, VA or Washington, DC.
Preferred Skills & Experience:
Master's degree in data science, computer science, engineering, applied mathematics or related field. A PhD degree is preferred but not required.
At least 5 years of experience with direct data science or machine learning projects in industry, with 2+ years, specifically in NLP.
Strong background in Mathematics and Statistics. Demonstrable mathematical inventiveness for novel problem solving (via probability, optimization, information theory, linear algebra)
Very strong expertise in data collection, cleaning, preprocessing, and transforming data.
Expert programming skills in Python, , PyTorch, Spark, and SQL. Solid software practices (testing, packaging, CI). MLOps familiarity.
Experience with big data platforms. Experience with cloud-native model development and deployment preferred.
Research mindset reads/reproduces papers; designs baselines/ablations; evaluates for robustness, drift, and fairness. Meticulous about data quality, reproducibility, and experiment tracking.
Experience in transfer learning and in fine tuning open-source transformer models. Creative and pragmatic: chooses the simplest high impact approach (prompting, adapters, retrieval, distillation) before heavy training.
Practical NLP/LLM experience and awareness of evaluation pitfalls (hallucinations, prompt sensitivity, grounding).
Strong collaborator within and between cross-functional teams; excellent verbal and written communication skills; adapts communication to audience: effectively communicate technical concepts and results to both technical and business audiences
Curious, hardworking, detail-oriented, and action-oriented; motivated by complex analytical problems; investigates failure modes; documents learnings clearly.
Prioritizes pace over perfection and is comfortable in the face of changing circumstances and business priorities
Excited by the prospect of delivering value through the application of emerging technologies and techniques.
Previous experience in financial services industry is not required but is considered a plus.
Customer focused and risk aware; comfortable aligning work with governance expectations.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
  • Leads the implementation of analytical projects that leverage vast amounts of structured and unstructured data to extract actionable business insights.
  • Directs the data gathering, data processing and data mining of large and complex datasets.
  • Leads the development of algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes and recommend optimal actions to management.
  • Leads analytical experiments in a methodical manner to find opportunities for product and process optimization. Presents business insights to management using visualization technologies and data storytelling.
  • Partners with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business.

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, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning (ML)CompetenciesData Architecture, Data Mining, Disruptive Innovation, Information Capture, Machine Learning, Modeling: Data, Process, Events, Objects, Prototyping, Query and Database Access ToolsWork ExperienceRoles at this level typically require a university / college degree, with 5+ years of industry-relevant experience. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.EducationMastersCertificationsNo Required Certification(s)LicensesNo Required License(s)Pay TransparencyBase Salary: $91,000.00 - $169,000.00Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance.Application WindowGenerally, this opening is expected to be posted for two business days from 05/05/2026, although it may be longer with business discretion.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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