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Data Analytics Engineer Jobs in Philadelphia, PA

Technical Architect - Data, Analytics & AI

Exton, PA · Hybrid

$61.50 - $79.25/hr

Collaborate with Data Science, Engineering, Security, and Risk teams to enable scalable, secure ... Enterprise data management, analytics, and AI technology landscape * Strong problemsolving skills ...

Data Engineer, Specialist

Wayne, PA · On-site

$103K - $124K/yr

The Data Engineer, Specialist is responsible for building and maintaining scalable data pipelines ... Provides data analysis guidance as required. * Designs and conducts training sessions on tools 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 Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Showing results 21-40

Data Analytics Engineer information

See Philadelphia, PA salary details

$44.9K

$130.9K

$179.1K

How much do data analytics engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data analytics engineer in Philadelphia, PA is $130,895.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,500.00 and $138,700.00 per year, depending on experience, location, and employer.

How do data analytics engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

What are the key skills and qualifications needed to thrive as a data analytics engineer, and why are they important?

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

What is the difference between Data Analytics Engineer vs Data Scientist?

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to develop insights and reports.

What are the most commonly searched types of Data Analytics Engineer jobs in Philadelphia, PA?

The most popular types of Data Analytics Engineer jobs in Philadelphia, PA are:

What job categories do people searching Data Analytics Engineer jobs in Philadelphia, PA look for?

The top searched job categories for Data Analytics Engineer jobs in Philadelphia, PA are:

Infographic showing various Data Analytics Engineer job openings in Philadelphia, PA as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 100% In-person job distribution, with an average salary of $130,895 per year, or $62.9 per hour.

Business Analytics Consultant Senior - C&IB Data Analytics

PNC Bank

Wilmington, DE

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


PNC Bank rating

7.7

Company rating: 7.7 out of 10

Based on 345 frontline employees who took The Breakroom Quiz

91st of 171 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 Business Analytics Consultant Senior within PNC's C&IB Data Analytics organization, you will be based in Pittsburgh or Philadelphia, PA; Cleveland, OH; or Wilmington, DE.
Role Overview:
As a Business Analytics Consultant within PNC's Corporate and Institutional Banking division (C&IB), you will join the Data Analytics and Solutions team to work on various strategic initiatives across the C&IB line of business. You will leverage analytical tools and emerging technologies, including AI, to create innovative data products and streamlined solutions to drive C&IB's business growth.
Key Responsibilities:
Leverage analytical tools to provide business and technical expertise to create data driven solutions in support of the business' data needs.
Consult with business partners on data solution development. Understand business strategy, audience, implementation plan and monitoring requirements.
Determine the optimal analytic approach, execute standard best practices around development, validation, end user testing and continued enhancements.
Analyze results and make recommendations for key business partners and senior management or communicate conclusions from complex analytical solutions to a wide range of audiences.
Required Qualifications:
Bachelor's degree in Analytics, Data Science, Mathematics, Statistics, Computer Science, Engineering, or a related analytical discipline.
Minimum of 3 years of hands-on experience in data analytics, business intelligence, or a related field.
Advanced SQL skills with demonstrated experience performing complex queries, joins, data manipulation, and data wrangling.
Strong understanding of database structures, relational databases, and data management principles.
Experience using TOAD or similar database management/query tools.
Proven ability to analyze, validate, and transform large, complex datasets into meaningful business insights.
Strong written and verbal communication skills with the ability to present analytical findings to technical and non-technical audiences.
Demonstrated project management, problem-solving, and stakeholder management capabilities.
Preferred Qualifications:
Experience designing and developing interactive dashboards and data visualizations using Tableau, Power BI, or comparable business intelligence tools.
Experience enhancing, modernizing, and automating reporting and analytics solutions.
Knowledge of Python, R, or other analytical programming languages.
Experience with Generative AI, machine learning, or advanced analytics techniques.
Familiarity with Large Language Models (LLMs) and AI-powered analytics workflows.
Banking, financial services, or corporate banking industry experience.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
  • Leverages complex analytical tools to provide business and technical expertise for the analytics process, tools and useful applications across multiple functions or business units to create data driven solutions.
  • Consulting to clients on tool and strategy implementation and monitoring, statistical scoring, business intelligence, data quality, and analytical product / solution development.
  • Determining the optimal analytic approach and supporting development, implementation and enhancements.
  • Conceptualizing, developing and continuously optimizing analytical solutions for business leadership to enable data driven decision making.
  • Analyze results and make recommendations for key business partners and senior management or communicate conclusions from complex analytical solutions to a wide range of audiences.

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, Business Intelligence (BI), Concept Development, Data-Driven Decision Making, Data Integration, Market Research, Performance Metrics, Qualitative Research, Strategic PlanningCompetenciesAnalytical Thinking, Business Acumen, Business Analytics, Consulting, Decision Making and Critical Thinking, Effective Communications, Emerging TechnologiesWork ExperienceRoles at this level typically require a university / college degree, with 3+ years of relevant / direct industry experience. Certifications are often desired. 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)Pay TransparencyBase Salary: $75,000.00 - $137,500.00Salaries 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 08/07/2026, 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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