Data Analytics Engineer Visa Sponsorship Jobs in North Carolina
North Carolina's data analytics engineer market spans financial services firms in Charlotte, major tech employers and research institutions in the Research Triangle, and healthcare analytics companies in Greensboro and Durham. Companies like Bank of America, Red Hat, and SAS Institute regularly hire for these roles, and many actively sponsor H-1B visa and other work visas for qualified international candidates.
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INTRODUCTION
Be a part of our mission! As a world leader in creating comfortable, sustainable, and efficient climate solutions for buildings, homes and transportation, it's our responsibility to put the planet first. For us at Trane Technologies, and through our businesses including Trane® and Thermo King, sustainability is not just how we do business—it is our business. Do you dare to look at the world's challenges and see impactful possibilities? Do you want to contribute to making a better future? If the answer is yes, we invite you to consider joining us in boldly challenging what's possible for a sustainable world.
Learn about our benefits designed for you to Thrive at work and at home.
We boldly go.
Where is the work:
Monday to Thursday, work onsite with your colleagues. Fridays, choose your work location, balancing what your work requires.
ROLE AND RESPONSIBILITIES
The Digital Marketing Data Analyst is responsible for collecting, analyzing, and reporting on website and digital marketing performance to help inform business decisions and improve customer experience. This role will partner closely with Marketing, Digital Product, Engineering and Agency Partners to measure marketing and site performance, identify customer behavior trends, support testing and optimization efforts, and ensure data accuracy across analytics platforms.
The ideal candidate has 2–3 years of experience in digital or marketing analytics and is comfortable working with website performance data, dashboards, tagging, and experimentation. This person should be curious, detail-oriented, and able to translate data into actionable recommendations that improve conversion, engagement, and overall digital performance.
Key Responsibilities
- Collect, analyze, and interpret website and digital marketing performance data with a focus on customer behavior, site engagement, and conversion funnel performance.
- Develop and maintain recurring dashboards and reports for stakeholders across Marketing, Digital Product, and Engineering teams.
- Perform ad hoc analyses to answer business questions and uncover actionable insights related to customer journeys, landing page performance, content effectiveness, and digital campaign outcomes.
- Partner with Internal teams and Agency Partners to implement, validate, and maintain website tracking through tools such as Google Tag Manager and other site analytics platforms.
- Support the design, execution, and analysis of A/B and multivariate tests, including test setup, measurement plans, readouts, and recommendations.
- Help establish consistent definitions, metrics, and standard methodologies for digital and marketing reporting.
- Translate complex analyses into clear, concise, and business-focused presentations and recommendations for stakeholders and leadership.
- Collaborate with cross-functional partners to support broader digital strategy and identify trends, risks, and growth opportunities.
BASIC QUALIFICATIONS
- Bachelor’s degree in Marketing, Business, Statistics, Economics, Information Technology, Computer Science, or a related field, or equivalent practical experience.
- 3–5 years of experience in marketing analytics, digital analytics, web analytics, eCommerce analytics, or a related field.
- Hands-on experience with web analytics platforms, preferably GA4.
- Working knowledge of SQL.
- Experience with tag management tools such as Google Tag Manager.
- Experience building dashboards and reports in BI or visualization tools such as Tableau, Looker, PowerBI, etc.
- Experience with data preparation tools such as DataIku, Alteryx, Tableau Prep.
- Familiarity with A/B testing and experimentation concepts, including test design, measurement, and performance interpretation is a plus.
PREFERRED QUALIFICATIONS
- Strong analytical and problem-solving skills.
- Ability to translate complex data into clear, actionable insights and recommendations.
- Strong attention to detail and commitment to data accuracy.
- Effective communication and presentation skills for both technical and non-technical audiences.
- Ability to manage multiple priorities and projects in a fast-paced environment.
- Collaborative mindset with the ability to work cross-functionally across Marketing, Product, and Engineering teams.
- Curiosity and enthusiasm for understanding customer behavior and improving digital experiences.
- Solid business acumen and a results-oriented approach.
COMPENSATION
- Annual Base Salary Range or Hourly Base Pay Range: $80,243.33 - $112,280.00
Compensation Type:
Salary
Incentive Eligible:
No
Sales Commission Eligible:
No
Disclaimer:
We strive to provide competitive compensation for this position, tailored to a variety of factors. The actual compensation will depend on elements such as seniority, merit, geographic location, education, experience, travel requirements, and union designation. Our compensation range is generally based on the national average for the country. Additionally, benefits may vary depending on the region, business alignment, union involvement, and employee status.
Thrive at work and at home:
- Benefits kick in on DAY ONE for you and your family, including health insurance and holistic wellness programs that include generous incentives – WE DARE TO CARE!
- Family building benefits include fertility coverage and adoption/surrogacy assistance.
- Paid time off includes up to 15 vacation days, paid holidays, sick leave, and additional options to support volunteer and parental leave.
- 401K match up, educational and training opportunities through company programs along with tuition assistance and student debt support.
Disclaimer:
Benefit offerings may vary by site as well as Collective Bargaining Agreements and local/state regulations.
Safety Sensitive Role:
No. The company designates certain roles as Safety Sensitive. Safety Sensitive roles may require that you pass additional drug screening.
We offer competitive compensation and comprehensive benefits and programs. We are an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, age, marital status, disability, status as a protected veteran, or any legally protected status.
Data Analytics Engineer Job Roles in North Carolina
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Search Data Analytics Engineer Jobs in North CarolinaData Analytics Engineer Jobs in North Carolina: Frequently Asked Questions
Which companies sponsor visas for data analytics engineers in North Carolina?
Several large employers in North Carolina have established visa sponsorship track records for data analytics engineers. In Charlotte, financial institutions including Bank of America and Wells Fargo hire analytics engineers and file H-1B petitions regularly. In the Research Triangle, technology companies like Red Hat and IBM, analytics software firm SAS Institute, and major healthcare systems including Duke University Health System and UNC Health are among the more active sponsors in this role category.
Which visa types are most common for data analytics engineer roles in North Carolina?
The H-1B is the most common visa for data analytics engineers in North Carolina, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, information systems, statistics, or a related field. F-1 graduates on OPT or STEM OPT also work in these roles before employer-sponsored H-1B petitions are filed. Professionals from Canada and Mexico may qualify for TN visa status under the USMCA in certain circumstances.
Which cities in North Carolina have the most data analytics engineer sponsorship jobs?
The Research Triangle area, encompassing Raleigh, Durham, and Chapel Hill, is North Carolina's primary concentration of data analytics engineering roles, driven by the presence of major tech employers, SAS Institute's headquarters, and proximity to NC State University, Duke, and UNC. Charlotte follows closely, with demand concentrated in financial services and fintech. Secondary markets including Greensboro and Winston-Salem show growing healthcare and manufacturing analytics hiring.
How to find data analytics engineer visa sponsorship jobs in North Carolina?
Migrate Mate is built specifically for international candidates seeking visa sponsorship roles and filters data analytics engineer positions by state, including North Carolina. Rather than sorting through general job postings with no sponsorship clarity, Migrate Mate surfaces roles where employers have demonstrated sponsorship willingness. Filtering to North Carolina on Migrate Mate gives you a focused view of relevant openings in the Research Triangle, Charlotte, and other metros across the state.
Are there any state-specific factors that affect data analytics engineer sponsorship in North Carolina?
North Carolina's Research Triangle is home to one of the highest concentrations of research universities in the country, which creates a strong local pipeline of international STEM graduates actively seeking sponsorship. This means competition for sponsored roles can be meaningful. Employers in the region are generally familiar with the H-1B process due to high international hiring volume. Healthcare and financial services, two of the state's dominant industries, both have compliance-driven environments that make systematic sponsorship processes more common.
What is the prevailing wage for sponsored data analytics engineer jobs in North Carolina?
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.