Senior Data Analyst Job in USA 2026 with Visa Sponsorship
A Senior Data Analyst opportunity is available in Bridgewater, New Jersey, United States, offering a full-time remote position for experienced analytics professionals. The role is offered by Bright Vision Technologies, a technology company focused on building scalable digital solutions that help organizations automate and optimize business processes.
The company is seeking candidates currently on non-immigrant visas (OPT, CPT, H4 EAD, TN, E3, etc.) who are looking for H-1B visa sponsorship for the 2027 quota. This role offers strong career growth potential and the opportunity to work on data-driven solutions across business and technology environments.
About the Role
The Senior Data Analyst will be responsible for analyzing complex datasets, generating business insights, and building data-driven solutions that support strategic decision-making. The role involves working with large datasets, building dashboards and reports, and developing predictive analytics models using modern data tools and cloud platforms.
The position requires strong technical expertise in SQL, Python, or R, and business intelligence tools, along with experience in building data pipelines and performing advanced statistical analysis. The successful candidate will collaborate with cross-functional teams to transform raw data into meaningful insights that help businesses improve efficiency and performance. A technical coding test is part of the recruitment process, and applicants are expected to demonstrate strong analytical and programming capabilities.
About the Employer
Bright Vision Technologies is a growing software development and IT consulting firm specializing in automation, analytics, and enterprise technology solutions. The company focuses on developing secure and scalable applications that enable businesses to streamline operations and leverage data effectively. The organization promotes an inclusive workplace culture and provides opportunities for professionals to work on innovative technology solutions while advancing their careers in data analytics and software engineering.
Responsibilities
- Analyze large datasets to identify trends, patterns, and business insights
- Write complex SQL queries for data extraction and transformation
- Perform statistical analysis and modeling using Python or R
- Build dashboards and visual reports using Power BI, Tableau, Qlik, or Looker
- Work with cloud data platforms such as AWS, Azure, or Google Cloud
- Develop and maintain ETL pipelines and data workflows
- Collaborate with business stakeholders to translate requirements into analytical solutions
- Create documentation and reports that support strategic decision-making
- Ensure data quality, accuracy, and governance across analytics systems
Required Qualifications
- Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, Economics, or a related field
- 5+ years of experience in data analysis, business intelligence, or analytics roles
- Strong proficiency in SQL for data querying and manipulation
- Experience with Python or R for statistical analysis and data modeling
- Expertise with business intelligence tools such as Power BI, Tableau, Qlik, or Looker
- Advanced Microsoft Excel skills, including pivot tables, formulas, and macros
- Understanding of ETL processes and data pipelines
- Familiarity with cloud-based data platforms (Azure, AWS, GCP)
Preferred Certifications
Candidates with the following certifications will have an advantage:
- Microsoft Certified: Data Analyst Associate (PL-300)
- Tableau Desktop Specialist or Tableau Certified Data Analyst
- Google Data Analytics Professional Certificate
Click Here to Apply
Conclusion
This Senior Data Analyst role provides a strong opportunity for data professionals seeking career advancement in the United States technology sector. With remote work flexibility, exposure to advanced analytics tools, and potential H-1B visa sponsorship, the position offers a valuable pathway for international candidates aiming to build a long-term career in data analytics and business intelligence.
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