Data Analytics Engineer Visa Sponsorship Jobs in Pennsylvania
Pennsylvania's data analytics engineer job market is anchored by Philadelphia's financial and healthcare sectors, Pittsburgh's growing tech scene, and major employers like Comcast, Cigna, and Carnegie Mellon University's affiliated research organizations. Companies across insurance, life sciences, and enterprise software regularly sponsor H-1B visa and other work visas for qualified data analytics engineers in the state.
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INTRODUCTION
Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast.
Job Summary
This job works closely with stakeholders to define data needs, develop models, and extract actionable insights for informed decision-making. It leverages advanced analytics and big data platforms to predict trends and measure business performance. The role also upholds data governance standards to ensure quality and compliance in analytics.
Job Description
This position is an in-office role 4 days a week and 1 day remote.
Responsibilities:
AI-Driven Forecasting & Planning
- Lead the development and implementation of AI-enabled forecasting solutions.
- Apply machine learning, predictive analytics, and scenario modeling to improve forecast accuracy and business planning.
- Design and maintain rolling forecast frameworks that automatically incorporate changing business conditions.
- Drive automation of forecast updates, assumptions management, variance analysis, and reporting.
Budget & Financial Performance Optimization
- Modernize budget development and forecasting processes through automation and AI.
- Develop intelligent models that identify risks, opportunities, and performance drivers.
- Create automated budget allocation and investment optimization frameworks.
- Support long-range planning through advanced business and financial modeling.
- Improve planning cycle speed while enhancing transparency and accountability.
Performance Management Transformation
- Build AI-driven performance management capabilities that identify trends, opportunities, and operational risks.
- Create automated scorecard generation and target-setting processes.
- Develop predictive performance indicators to proactively identify areas requiring intervention.
- Leverage AI to generate actionable insights, coaching recommendations, and operational guidance.
- Design frameworks that connect operational metrics, incentive programs, and financial outcomes.
Process Automation & Efficiency
- Evaluate and redesign complex business processes to eliminate manual activities.
- Deploy AI agents, workflow automation, and self-service analytics solutions.
- Reduce cycle times for forecasting, budgeting, reporting, and business reviews.
- Standardize tools, methodologies, and operating procedures.
- Establish measurable efficiency targets and track realized value.
Advanced Analytics & Modeling
- Develop predictive, prescriptive, and scenario-based models to support strategic decisions.
- Create simulations and sensitivity analyses to evaluate business opportunities and risks.
- Translate complex analytics into executive-ready recommendations.
Strategic Leadership
- Partner with Finance, Operations, Technology, and Executive Leadership to identify high-value AI opportunities.
- Collaborate with business leaders to discern data requirements and craft technical specifications for analytics.
- Evaluate data relevance, sourcing alternatives, and ensure robust analytics for stakeholder inquiries.
- Employ self-service tools to analyze complex datasets, extracting actionable business insights.
- Query diverse big data platforms, including Teradata, SQL Server, Hadoop, and AWS, for comprehensive analysis.
- Merge datasets from varied sources to support thorough business analysis.
- Conduct exploratory data analysis, hypothesis testing, and pinpoint key business drivers.
- Develop predictive models for sales, demand, and other vital business metrics.
- Assess campaign outcomes, measure effectiveness, and pinpoint enhancement opportunities.
- Ensure compliance with data governance policies and standards across analytics practices.
- Consistent exercise of independent judgment and discretion in matters of significance.
- Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) as necessary.
- Other duties and responsibilities as assigned.
Employees at all levels are expected to:
- Understand our Operating Principles; make them the guidelines for how you do your job.
- Own the customer experience think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.
- Know your stuff be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.
- Win as a team make big things happen by working together and being open to new ideas.
- Be an active part of the Net Promoter System a way of working that brings more employee and customer feedback into the company by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.
- Drive results and growth.
- Support a culture of inclusion in how you work and lead.
- Do what's right for each other, our customers, investors and our communities.
Skills:
- Business Operations
- Data Forecasting
- Actionable Insights
- Analytics
Salary:
Pay Range: This job can be performed in Colorado, Illinois, and Minnesota with a Pay Range of $66,115.55 - $109,090.66
Comcast intends to offer the selected candidate base pay within this range, dependent on job-related, non-discriminatory factors such as experience. The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later.
Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality - to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details.
Education
Bachelor's Degree
While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.
Relevant Work Experience
2-5 Years
Comcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.
Data Analytics Engineer Job Roles in Pennsylvania
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Search Data Analytics Engineer Jobs in PennsylvaniaData Analytics Engineer Jobs in Pennsylvania: Frequently Asked Questions
Which companies in Pennsylvania sponsor visas for data analytics engineers?
Large employers with consistent H-1B sponsorship histories for data-focused engineering roles in Pennsylvania include Comcast, Cigna, Independence Blue Cross, and consulting firms like Deloitte and Accenture with Philadelphia offices. Pittsburgh's technology sector, including companies tied to Carnegie Mellon and University of Pittsburgh research commercialization, also produces regular sponsorship activity. Life sciences and pharmaceutical employers in the Philadelphia suburbs are additional active sponsors.
Which visa types are most common for data analytics engineer roles in Pennsylvania?
The H-1B is the most common visa category for data analytics engineers in Pennsylvania, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, statistics, data science, or a related field. L-1B visas apply when candidates transfer within a multinational company. Some candidates already holding F-1 OPT or STEM OPT authorization also get hired by Pennsylvania employers before transitioning to H-1B status.
Which cities in Pennsylvania have the most data analytics engineer sponsorship jobs?
Philadelphia generates the largest volume of sponsorship opportunities for data analytics engineers in Pennsylvania, driven by its concentration of financial services, healthcare systems, and large consulting firms. Pittsburgh is the second major hub, supported by strong university ties and a growing technology and AI research sector. Smaller clusters exist in the Philadelphia suburbs around companies in the pharmaceutical and insurance industries.
How to find data analytics engineer visa sponsorship jobs in Pennsylvania?
Migrate Mate is built specifically for international candidates seeking visa sponsorship roles, and filters results by both job title and location, making it straightforward to browse data analytics engineer openings in Pennsylvania. Because employer sponsorship willingness is often not stated in standard job postings, using a platform like Migrate Mate that surfaces sponsorship-verified listings saves significant research time when targeting Pennsylvania-based roles.
Are there any Pennsylvania-specific considerations for data analytics engineers seeking visa sponsorship?
Pennsylvania's concentration of regulated industries like healthcare and financial services means employers frequently work with established immigration counsel and are familiar with H-1B prevailing wage requirements. The Department of Labor's prevailing wage determination applies based on the specific work location, so a Pittsburgh-based role will have different wage benchmarks than a Philadelphia one. Candidates connected to Carnegie Mellon or Penn's graduate programs often find Pennsylvania employers already experienced in sponsoring international talent from those pipelines.
What is the prevailing wage for sponsored data analytics engineer jobs in Pennsylvania?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.