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Full Stack Data Analyst Jobs in Pittsburgh, PA (NOW HIRING)

System One

Full Stack Developer

Pittsburgh, PA · On-site

Design and optimize data access layers supporting structured, semi structured, and large scale ... Excellent debugging, analytical, and problem solving skills . Strong communication and ...

System One

Full Stack Developer

Pittsburgh, PA · On-site

Design and optimize data access layers supporting structured, semi structured, and large scale ... Excellent debugging, analytical, and problem solving skills . Strong communication and ...

System One

Full Stack Developer

Pittsburgh, PA · On-site

Design and optimize data access layers supporting structured, semi structured, and large scale ... Excellent debugging, analytical, and problem solving skills . Strong communication and ...

System One

Full Stack Developer

Pittsburgh, PA · On-site

Design and optimize data access layers supporting structured, semi structured, and large scale ... Excellent debugging, analytical, and problem solving skills . Strong communication and ...

System One

Full Stack Developer

Pittsburgh, PA · On-site

Design and optimize data access layers supporting structured, semi structured, and large scale ... Excellent debugging, analytical, and problem solving skills . Strong communication and ...

System One

Full Stack Developer

Pittsburgh, PA · On-site

Design and optimize data access layers supporting structured, semi structured, and large scale ... Excellent debugging, analytical, and problem solving skills . Strong communication and ...

System One

Full Stack Developer

Pittsburgh, PA · On-site

Design and optimize data access layers supporting structured, semi structured, and large scale ... Excellent debugging, analytical, and problem solving skills . Strong communication and ...

Scalence L.L.C.

Full Stack Engineer

Pittsburgh, PA · On-site

C. is seeking a senior Full Stack Engineer to lead the development and operational support of ... analytics platforms • Data pipeline and data warehousing experience • Financial services or ...

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Showing results 1-20

All JobsFull Stack Data Analyst JobsFull Stack Data Analyst Jobs in Pittsburgh, PA

Full Stack Data Analyst information

See Pittsburgh, PA salary details

$33K

$80.2K

$132K

How much do full stack data analyst jobs pay per year?

As of Aug 23, 2026, the average yearly pay for full stack data analyst in Pittsburgh, PA is $80,228.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,700.00 and $94,200.00 per year, depending on experience, location, and employer.

What is the difference between Full Stack Data Analyst vs Data Scientist?

AspectFull Stack Data AnalystData Scientist
Required SkillsData analysis, visualization, basic programming, SQL, reportingAdvanced programming, statistical modeling, machine learning, data engineering
Work EnvironmentBusiness teams, analytics departments, reporting toolsResearch teams, data science departments, AI/ML projects
CertificationsData analysis, SQL, Excel certificationsData science, machine learning, Python/R certifications
Industry UsageBusiness intelligence, marketing, financeResearch, AI development, predictive modeling

While both roles involve working with data, Full Stack Data Analysts focus on end-to-end data analysis and reporting within business contexts, whereas Data Scientists develop advanced models and algorithms for predictive insights. The roles often overlap in skills like SQL and programming, but Data Scientists typically require deeper expertise in statistical methods and machine learning.

What is a full stack data analyst?

A full stack data analyst is a professional who handles all aspects of data analysis, including data collection, cleaning, visualization, and reporting, often using tools like SQL, Python, or Tableau. They possess skills across data management, analysis, and presentation, enabling them to work independently through the entire data workflow.

What are popular job titles related to Full Stack Data Analyst jobs in Pittsburgh, PA?

For Full Stack Data Analyst jobs in Pittsburgh, PA, the most frequently searched job titles are:

What job categories do people searching Full Stack Data Analyst jobs in Pittsburgh, PA look for?

The top searched job categories for Full Stack Data Analyst jobs in Pittsburgh, PA are:

What cities near Pittsburgh, PA are hiring for Full Stack Data Analyst jobs?

Cities near Pittsburgh, PA with the most Full Stack Data Analyst job openings:

Full Stack Data Analyst jobs near you
Infographic showing various Full Stack Data Analyst job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $80,226 per year, or $38.6 per hour.

Angular Full Stack Developer

ExlService Holdings, Inc.

Pittsburgh, PA • On-site

$100/hr

Full-time

Posted 13 days ago

ExlService Holdings rating

7.8

Company rating: 7.8 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

135th of 495 rated business services

Job description


Job Description - Full Stack Developer (Angular)
Role: Full Stack Developer
Open Positions: 1
About the Role
We are looking for a Full Stack Developer to join our delivery team and contribute to enterprise-grade, cloud-native application delivery.
Key Responsibilities
  • Develop and maintain applications using Enterprise Java with Java 17+ and Spring Framework (Spring Boot, Spring Security, Spring Data)
  • Build responsive, modern UIs using Angular 18+
  • Design and implement event-driven solutions with Apache Kafka
  • Write and maintain automated tests across the stack
  • Deploy and manage applications on OpenShift using CI/CD pipelines via Jenkins
  • Work with Oracle databases for data persistence
  • Contribute to cloud-native application delivery best practices

Required Skills
  • Java 17+, Spring Boot, Spring Security, Spring Data, Spring Framework
  • Angular 18+
  • Kafka
  • Oracle
  • OpenShift, Jenkins, CI/CD
  • Testing (unit, integration)
  • Cloud-native application delivery

Responsibilities
Key Responsibilities
  • Develop and maintain applications using Enterprise Java with Java 17+ and Spring Framework (Spring Boot, Spring Security, Spring Data)
  • Build responsive, modern UIs using Angular 18+
  • Design and implement event-driven solutions with Apache Kafka
  • Write and maintain automated tests across the stack
  • Deploy and manage applications on OpenShift using CI/CD pipelines via Jenkins
  • Work with Oracle databases for data persistence
  • Contribute to cloud-native application delivery best practices

Qualifications
Graduate in Computer Science, or related field. 6+ years of experience in data engineering or related field.
Base Compensation Range: $100-130k
The posted range is the hiring range for this role - a subset of the broader range available to employees over time - and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.
About Us
EXL (NASDAQ: EXLS) is a leading data analytics and digital operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive better business outcomes and unlock growth with speed. EXL harnesses the power of data, analytics, AI, and deep industry knowledge to transform operations for the world's leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 54,000 employees spanning six continents. For more information, visit www.exlservice.com.
EXL never requires or asks for fees/payments or credit card or bank details during any phase of the recruitment or hiring process and has not authorized any agencies or partners to collect any fee or payment from prospective candidates. EXL will only extend a job offer after a candidate has gone through a formal interview process with members of EXL's Human Resources team, as well as our hiring managers.
About the Team
EXL is the indispensable partner for leading businesses in data-led industries such as insurance, banking and financial services, healthcare, retail and logistics. We bring a unique combination of data, advanced analytics, digital technology and industry expertise to help our clients turn data into insights, streamline operations, improve customer experience, and transform their business. Our partnerships with clients are built on a foundation of collaboration - and we've been chosen as a partner by nine of the top ten leading US insurance companies, nine of the top 20 global banks, and six of the top ten US health care payers. We function as one team to make your goals our goals, whether that's unlocking the value of generative AI or embedding analytics into workflows that reduce risk or power your growth. Clients choose EXL as their transformation partner for many reasons. Our geographic diversity make talent all over the world instantly accessible. Digital accelerators enable unmatched speed-to-value, letting you realize results fast. It's our people that truly set us apart, though, including the 1,500 data scientists we have dedicated to our generative AI practice. And our more than twenty years of experience in delivering business services, garnering stellar client references, and maintaining a solid balance sheet are reassuring to our C-suite clients. Find out for yourself why clients, employees, and analysts think we're some of the best in the business. Contact us to see how we can help you achieve your goals.

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