Data Analytics Engineer Visa Sponsorship Jobs in Texas
Texas is one of the strongest states for data analytics engineer visa sponsorship, with major hiring activity across Austin, Dallas, and Houston. Companies like Dell Technologies, AT&T, ExxonMobil, and a dense cluster of Austin-based tech firms regularly sponsor international candidates for analytics engineering roles requiring dbt, Spark, and cloud data pipeline expertise.
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Get Access To All JobsThis is a hybrid position requiring an on-site presence 3 to 4 days per week. Please note that the number of on-site days may increase based on business needs.
POSITION SUMMARY:
The Sourcing Analyst will be responsible for analysis and reporting required to support Sysco’s sourcing activities. This role will require exceptional analytic skills along with a working knowledge of database design and management in Microsoft Access and/or SQL Server. This position will work directly with the Sourcing Team leads, Category Operations, Supply Chain and Business Centers. The Sourcing Analyst will be responsible for gathering and validating all necessary data.
Responsibilities:
- Conduct analytics to build the fact base in support of negotiations
- Perform sourcing data analysis using data template defined in Category Management process
- Lead analysis for visibility in key cost drivers, pricing trends, emerging market regions, supplier capabilities and capacities etc.
- Develop ideas leading to continual improvement to the sourcing process at Sysco
- Provide data support to supplier relations and category management team
- Develop any AdHoc sourcing related reports needed by Sourcing Managers, Category Managers, SSR Managers etc.
- Provide the analytical support to SSR Manager during supplier business reviews
- Work with the insights team to develop surveys and interview guidelines for the key suppliers
REQUIRED MINIMUM EDUCATION:
Bachelor’s Degree required.
Experience:
- Minimum 1-3 years of business analytics experience, preferably in a sourcing capacity.
- Highly skilled in data structures and database access/reporting
- Excellent knowledge of Microsoft Excel, Access and SQL server
- Theoretical knowledge of statistics and quantitative analysis techniques (e.g. spreadsheet modeling, regression analysis)
PREFERRED EXPERIENCE/SKILLS:
- Advanced proficiency in Microsoft Excel and PowerPoint, with the ability to build complex models and compelling presentations.
- Hands-on experience with data visualization and analytics tools, including Tableau, Power Pivot, Smartsheet, or comparable platforms.
- Proficiency in automation and scripting tools to streamline data workflows and reporting processes, with a focus on Python, Power Query, or SQL.
- Strong analytical mindset with the ability to synthesize insights from multiple data sources and a natural curiosity for uncovering trends and patterns.
- Proven quantitative problem-solving skills, with comfort in managing and interpreting large, complex datasets.
- Excellent communication skills, capable of translating complex data insights into clear, actionable business recommendations.
- Self-motivated and adaptable, able to manage multiple priorities in a fast-paced, dynamic environment.
- Demonstrated success in driving process improvements and implementing scalable, sustainable solutions.
- Commitment to continuous learning and improvement, with a proactive approach to skill development and innovation.
- Ability to work independently and take initiative, while staying aligned with team goals and responsibilities.
- Detail-oriented and highly organized, ensuring accuracy and consistency in all deliverables.
INTRINSIC CAPABILITIES
- Ability to pull disparate pieces of data together to form a coherent story
- Ability to manage multiple projects in a fast-paced environment, adapt to shifting priorities, and be very detail oriented
- Self-driven individual with intellectual curiosity and pushes to understand underlying issues
- Collaborative team player who can work across functions (e.g., Analytics, Category Management, SSR)
This is a hybrid position requiring an on-site presence 3 to 4 days per week. Please note that the number of on-site days may increase based on business needs.
POSITION SUMMARY:
The Sourcing Analyst will be responsible for analysis and reporting required to support Sysco’s sourcing activities. This role will require exceptional analytic skills along with a working knowledge of database design and management in Microsoft Access and/or SQL Server. This position will work directly with the Sourcing Team leads, Category Operations, Supply Chain and Business Centers. The Sourcing Analyst will be responsible for gathering and validating all necessary data.
Responsibilities:
- Conduct analytics to build the fact base in support of negotiations
- Perform sourcing data analysis using data template defined in Category Management process
- Lead analysis for visibility in key cost drivers, pricing trends, emerging market regions, supplier capabilities and capacities etc.
- Develop ideas leading to continual improvement to the sourcing process at Sysco
- Provide data support to supplier relations and category management team
- Develop any AdHoc sourcing related reports needed by Sourcing Managers, Category Managers, SSR Managers etc.
- Provide the analytical support to SSR Manager during supplier business reviews
- Work with the insights team to develop surveys and interview guidelines for the key suppliers
REQUIRED MINIMUM EDUCATION:
Bachelor’s Degree required.
Experience:
- Minimum 1-3 years of business analytics experience, preferably in a sourcing capacity.
- Highly skilled in data structures and database access/reporting
- Excellent knowledge of Microsoft Excel, Access and SQL server
- Theoretical knowledge of statistics and quantitative analysis techniques (e.g. spreadsheet modeling, regression analysis)
PREFERRED EXPERIENCE/SKILLS:
- Advanced proficiency in Microsoft Excel and PowerPoint, with the ability to build complex models and compelling presentations.
- Hands-on experience with data visualization and analytics tools, including Tableau, Power Pivot, Smartsheet, or comparable platforms.
- Proficiency in automation and scripting tools to streamline data workflows and reporting processes, with a focus on Python, Power Query, or SQL.
- Strong analytical mindset with the ability to synthesize insights from multiple data sources and a natural curiosity for uncovering trends and patterns.
- Proven quantitative problem-solving skills, with comfort in managing and interpreting large, complex datasets.
- Excellent communication skills, capable of translating complex data insights into clear, actionable business recommendations.
- Self-motivated and adaptable, able to manage multiple priorities in a fast-paced, dynamic environment.
- Demonstrated success in driving process improvements and implementing scalable, sustainable solutions.
- Commitment to continuous learning and improvement, with a proactive approach to skill development and innovation.
- Ability to work independently and take initiative, while staying aligned with team goals and responsibilities.
- Detail-oriented and highly organized, ensuring accuracy and consistency in all deliverables.
INTRINSIC CAPABILITIES
- Ability to pull disparate pieces of data together to form a coherent story
- Ability to manage multiple projects in a fast-paced environment, adapt to shifting priorities, and be very detail oriented
- Self-driven individual with intellectual curiosity and pushes to understand underlying issues
- Collaborative team player who can work across functions (e.g., Analytics, Category Management, SSR)
Data Analytics Engineer Job Roles in Texas
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Search Data Analytics Engineer Jobs in TexasData Analytics Engineer Jobs in Texas: Frequently Asked Questions
Which companies sponsor visas for data analytics engineers in Texas?
Several large Texas-based employers have consistent track records of sponsoring data analytics engineers, including Dell Technologies, AT&T, American Airlines, ExxonMobil, and Texas Instruments. Austin's tech sector adds companies like Oracle, Apple, and Tesla's Gigafactory operations. Financial services firms in Dallas, such as JPMorgan Chase and Goldman Sachs, also sponsor analytics engineering talent regularly through H-1B visa filings with the Department of Labor.
Which visa types are most common for data analytics engineer roles in Texas?
The H-1B is the most common visa for data analytics engineers in Texas, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, statistics, or a related field. Candidates already holding L-1B status through multinational employers also transition into analytics engineering roles. Those with Canadian or Mexican citizenship may qualify for TN visa status under the 'Systems Analyst' or 'Computer Systems Analyst' category.
Which cities in Texas have the most data analytics engineer sponsorship jobs?
Austin leads Texas for data analytics engineer sponsorship volume, driven by its concentration of tech employers and ongoing corporate relocations from California. Dallas-Fort Worth is a close second, with strong demand in financial services, telecommunications, and enterprise software. Houston adds sponsorship opportunities through energy sector companies, particularly those investing in data infrastructure for operations analytics. San Antonio contributes a smaller but growing number of cybersecurity and defense-adjacent analytics roles.
How to find data analytics engineer visa sponsorship jobs in Texas?
Migrate Mate is built specifically for international job seekers and filters data analytics engineer roles in Texas by visa sponsorship history, so you're not sifting through listings from employers who won't sponsor. You can search by city, refine by tech stack, and see which Texas employers have active H-1B filing records. For candidates on OPT or in the H-1B lottery cycle, narrowing to verified sponsoring employers early in the search saves significant time.
Are there any Texas-specific considerations for data analytics engineer sponsorship?
Texas has no state income tax, which affects prevailing wage benchmarking since the DOL's wage determinations are geographically specific. Austin and Dallas wage levels are set separately from Houston, so an employer's LCA filing will reflect local market rates for the exact metro area. Texas also has strong university pipelines through UT Austin, Texas A&M, and Rice University, meaning employers in those markets are generally experienced with sponsoring international graduates and familiar with OPT-to-H-1B transitions.
What is the prevailing wage for sponsored data analytics engineer jobs in Texas?
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.