Analytics Lead Visa Sponsorship Jobs in Texas
Texas is one of the strongest markets for analytics lead roles, with major employers spanning technology, energy, and financial services. Companies like Dell, American Airlines, ExxonMobil, and a dense concentration of fintech and healthtech firms in Austin, Dallas, and Houston actively hire analytics leads and have established visa sponsorship programs.
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Get Access To All JobsINTRODUCTION
Imagine what you could do here. The people here at Apple don't just create products - they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it.
Apple's Sales organization generates the revenue needed to fuel our ongoing development of products and services. This, in turn, enriches the lives of hundreds of millions of people around the world. As we continue to scale and evolve, AI and intelligent automation are becoming critical enablers of sales excellence, operational efficiency, and strategic decision-making.
DESCRIPTION
As the US Enterprise Data and Analytics Lead for Sales Operations, you will serve as our technical and business intelligence expert who collaborates with data strategy, business insights delivery, and intelligent automation across the US sales organization. This role sits at the intersection of data, systems, and sales operations - requiring deep expertise in enterprise data platforms, analytics, and the ability to scale by leveraging AI and automation to solve complex business challenges.
You will partner closely with the Sales Operations and Sales team to drive the strategy and optimization of critical enterprise data systems including Dun & Bradstreet (D&B), Internal customer sales data, CRM platforms, and business intelligence tools - ensuring sales teams have access to accurate, timely, and actionable insights. As the lead for business intelligence delivery, you will streamline D&B usage, design agentic workflows, and drive automation that transforms sales planning, forecasting, compensation, territory design, and performance analytics.
This is a lead role where you leverage existing teams - including Business Process Requirement (BPR) managers, Analytics, Enterprise Systems, Data Science, and Engineering - to execute technical solutions. You will provide strategic direction, translate business requirements into technical specifications, and coordinate cross-functional execution. At the same time, you'll stay hands-on when innovating new solutions, prototyping agentic flows, or solving complex technical challenges.
The ideal candidate is both a data expert and a business expert who deeply understands sales operations processes and can balance strategic leadership with hands-on innovation. You're passionate about leveraging AI and automation to drive business value and have the technical fluency to guide technical teams while maintaining strong business acumen.
Responsibilities
Business Intelligence & Data Leadership
-
Collaborate with the US business intelligence team to drive insights delivery to the sales organization, partnering in the strategy, optimization, and governance of enterprise data platforms and other critical data sources.
-
Support operating cadence (QBRs, forecast calls, pipeline reviews) with data-driven and AI-enhanced insights.
-
Streamline and optimize D&B data usage across US sales operations, ensuring data enrichment processes, account intelligence workflows, and territory assignment logic leverage high-quality business information that drives sales productivity.
-
Partner with Analytics and BPR teams to ensure US sales teams receive timely, accurate, and actionable insights that support account planning, territory management, forecasting, compensation, and opportunity identification.
-
Become the subject matter expert on US enterprise intelligence platforms, optimizing usage, training teams, and identifying new capabilities to enhance sales effectiveness.
AI Driven Insights, Data Strategy & Automation
-
Identify and deploy AI-driven analytics, agent-based workflows, and automation to reduce manual reporting and improve decision speed.
-
Implement intelligent forecasting models and pipeline insights using advanced analytics and AI tools.
-
Design and scale automated workflows for sales processes (e.g., lead routing, opportunity insights, performance tracking).
-
Drive adoption of AI-enabled tools and data products across the sales organization.
-
Continuously evaluate emerging technologies to enhance sales productivity and operational efficiency.
Cross-Functional Leadership & Execution
-
Partner with BPR managers to document business requirements and coordinate execution across Analytics, Enterprise Systems, Data Science, and Engineering teams to deliver data and automation solutions.
-
Serve as the technical liaison between US Sales Operations and technical teams, facilitating communication, aligning priorities, and ensuring successful execution of initiatives.
-
Work with Enterprise Systems to design and optimize system integrations using APIs, middleware, and ETL tools - coordinating execution while staying hands-on for complex challenges.
-
Act as a bridge between business stakeholders and technical teams to translate needs into scalable data and AI solutions.
MINIMUM QUALIFICATIONS
-
6+ years in Sales Operations, Data & Analytics, Business Operations, or related fields. Strong analytical skills with experience in data modeling, BI tools, and analytics platforms (e.g., Tableau, Power BI, SQL).
-
Experience applying automation, advanced analytics, or AI/ML tools in a business context (forecasting, pipeline analysis, etc.).
-
Technical fluency with APIs, system integrations, and middleware tools to design and troubleshoot integrations between CRM platforms and enterprise data systems.
-
Demonstrated experience leading or coordinating technical teams including Data Science, Engineering, Analytics, or Enterprise Systems to deliver data solutions.
-
Proven track record of data-driven decision-making with experience analyzing complex datasets and influencing business strategy.
-
Strong business acumen with an understanding of sales operations processes (forecasting, quota planning, territory management, compensation, performance tracking).
-
Experience with CRM platforms (e.g., Salesforce) including configuration, reporting, automation, and data management.
-
Exceptional communication and leadership skills with the ability to translate technical concepts for non-technical audiences and provide strategic direction to technical teams.
-
Comfortable balancing strategic leadership with hands-on innovation - able to direct teams while remaining technically engaged to prototype and validate new solutions.
PREFERRED QUALIFICATIONS
-
Hands-on coding experience with Python or R for data analysis and automation scripting.
-
Experience with AI/ML technologies including LLMs, generative AI applications, or designing agentic workflows and automation solutions.
-
Expertise in Dun & Bradstreet (D&B) data platforms, including data enrichment workflows, account intelligence, and optimization strategies.
-
Proven success leading automation initiatives that streamline processes and increase operational efficiency.
-
Understanding of machine learning, prompt engineering, and AI applications sufficient to guide technical teams and innovate solutions.
-
Track record of becoming a subject matter expert in complex enterprise data systems and driving strategic improvements.
-
MBA or Master's degree in Data Science, Business Analytics, Computer Science, Engineering, or a related field.
INTRODUCTION
Imagine what you could do here. The people here at Apple don't just create products - they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it.
Apple's Sales organization generates the revenue needed to fuel our ongoing development of products and services. This, in turn, enriches the lives of hundreds of millions of people around the world. As we continue to scale and evolve, AI and intelligent automation are becoming critical enablers of sales excellence, operational efficiency, and strategic decision-making.
DESCRIPTION
As the US Enterprise Data and Analytics Lead for Sales Operations, you will serve as our technical and business intelligence expert who collaborates with data strategy, business insights delivery, and intelligent automation across the US sales organization. This role sits at the intersection of data, systems, and sales operations - requiring deep expertise in enterprise data platforms, analytics, and the ability to scale by leveraging AI and automation to solve complex business challenges.
You will partner closely with the Sales Operations and Sales team to drive the strategy and optimization of critical enterprise data systems including Dun & Bradstreet (D&B), Internal customer sales data, CRM platforms, and business intelligence tools - ensuring sales teams have access to accurate, timely, and actionable insights. As the lead for business intelligence delivery, you will streamline D&B usage, design agentic workflows, and drive automation that transforms sales planning, forecasting, compensation, territory design, and performance analytics.
This is a lead role where you leverage existing teams - including Business Process Requirement (BPR) managers, Analytics, Enterprise Systems, Data Science, and Engineering - to execute technical solutions. You will provide strategic direction, translate business requirements into technical specifications, and coordinate cross-functional execution. At the same time, you'll stay hands-on when innovating new solutions, prototyping agentic flows, or solving complex technical challenges.
The ideal candidate is both a data expert and a business expert who deeply understands sales operations processes and can balance strategic leadership with hands-on innovation. You're passionate about leveraging AI and automation to drive business value and have the technical fluency to guide technical teams while maintaining strong business acumen.
Responsibilities
Business Intelligence & Data Leadership
-
Collaborate with the US business intelligence team to drive insights delivery to the sales organization, partnering in the strategy, optimization, and governance of enterprise data platforms and other critical data sources.
-
Support operating cadence (QBRs, forecast calls, pipeline reviews) with data-driven and AI-enhanced insights.
-
Streamline and optimize D&B data usage across US sales operations, ensuring data enrichment processes, account intelligence workflows, and territory assignment logic leverage high-quality business information that drives sales productivity.
-
Partner with Analytics and BPR teams to ensure US sales teams receive timely, accurate, and actionable insights that support account planning, territory management, forecasting, compensation, and opportunity identification.
-
Become the subject matter expert on US enterprise intelligence platforms, optimizing usage, training teams, and identifying new capabilities to enhance sales effectiveness.
AI Driven Insights, Data Strategy & Automation
-
Identify and deploy AI-driven analytics, agent-based workflows, and automation to reduce manual reporting and improve decision speed.
-
Implement intelligent forecasting models and pipeline insights using advanced analytics and AI tools.
-
Design and scale automated workflows for sales processes (e.g., lead routing, opportunity insights, performance tracking).
-
Drive adoption of AI-enabled tools and data products across the sales organization.
-
Continuously evaluate emerging technologies to enhance sales productivity and operational efficiency.
Cross-Functional Leadership & Execution
-
Partner with BPR managers to document business requirements and coordinate execution across Analytics, Enterprise Systems, Data Science, and Engineering teams to deliver data and automation solutions.
-
Serve as the technical liaison between US Sales Operations and technical teams, facilitating communication, aligning priorities, and ensuring successful execution of initiatives.
-
Work with Enterprise Systems to design and optimize system integrations using APIs, middleware, and ETL tools - coordinating execution while staying hands-on for complex challenges.
-
Act as a bridge between business stakeholders and technical teams to translate needs into scalable data and AI solutions.
MINIMUM QUALIFICATIONS
-
6+ years in Sales Operations, Data & Analytics, Business Operations, or related fields. Strong analytical skills with experience in data modeling, BI tools, and analytics platforms (e.g., Tableau, Power BI, SQL).
-
Experience applying automation, advanced analytics, or AI/ML tools in a business context (forecasting, pipeline analysis, etc.).
-
Technical fluency with APIs, system integrations, and middleware tools to design and troubleshoot integrations between CRM platforms and enterprise data systems.
-
Demonstrated experience leading or coordinating technical teams including Data Science, Engineering, Analytics, or Enterprise Systems to deliver data solutions.
-
Proven track record of data-driven decision-making with experience analyzing complex datasets and influencing business strategy.
-
Strong business acumen with an understanding of sales operations processes (forecasting, quota planning, territory management, compensation, performance tracking).
-
Experience with CRM platforms (e.g., Salesforce) including configuration, reporting, automation, and data management.
-
Exceptional communication and leadership skills with the ability to translate technical concepts for non-technical audiences and provide strategic direction to technical teams.
-
Comfortable balancing strategic leadership with hands-on innovation - able to direct teams while remaining technically engaged to prototype and validate new solutions.
PREFERRED QUALIFICATIONS
-
Hands-on coding experience with Python or R for data analysis and automation scripting.
-
Experience with AI/ML technologies including LLMs, generative AI applications, or designing agentic workflows and automation solutions.
-
Expertise in Dun & Bradstreet (D&B) data platforms, including data enrichment workflows, account intelligence, and optimization strategies.
-
Proven success leading automation initiatives that streamline processes and increase operational efficiency.
-
Understanding of machine learning, prompt engineering, and AI applications sufficient to guide technical teams and innovate solutions.
-
Track record of becoming a subject matter expert in complex enterprise data systems and driving strategic improvements.
-
MBA or Master's degree in Data Science, Business Analytics, Computer Science, Engineering, or a related field.
Analytics Lead Job Roles in Texas
See all 117+ Analytics Lead Jobs in Texas
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Search Analytics Lead Jobs in TexasAnalytics Lead Jobs in Texas: Frequently Asked Questions
Which companies in Texas sponsor visas for analytics lead roles?
Large employers with consistent H-1B visa sponsorship histories for analytics leads in Texas include Dell Technologies in Round Rock, American Airlines and AT&T in Dallas, ExxonMobil and Shell in Houston, and Apple and Oracle in Austin. Texas-headquartered tech firms and enterprise software companies also sponsor regularly, particularly for senior analytics roles requiring specialized data engineering or business intelligence expertise.
Which visa types are most common for analytics lead roles in Texas?
The H-1B is the most common visa for analytics leads in Texas, as the role typically qualifies as a specialty occupation requiring a bachelor's degree or higher in a specific technical field such as statistics, computer science, or data science. Candidates from Australia may qualify for the E-3 visa, and Canadian and Mexican nationals may be eligible under the TN visa in the economist or engineer category depending on role responsibilities.
Which cities in Texas have the most analytics lead visa sponsorship jobs?
Austin leads in analytics lead sponsorship activity, driven by its concentration of technology companies and startups. Dallas-Fort Worth follows closely, with major employers across financial services, telecommunications, and healthcare analytics. Houston offers opportunities in energy sector analytics, with companies like ExxonMobil, Chevron, and large hospital systems hiring for data leadership roles. San Antonio has a smaller but growing analytics hiring market tied to cybersecurity and defense.
How to find analytics lead visa sponsorship jobs in Texas?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can browse analytics lead roles in Texas without sorting through positions that don't offer sponsorship. The platform aggregates openings from employers with documented H-1B sponsorship activity, which is especially useful in Texas where sponsorship practices vary significantly between large enterprise employers and smaller regional firms.
Are there state-specific factors that affect analytics lead visa sponsorship in Texas?
Texas has no state income tax, which affects prevailing wage benchmarking since the Department of Labor sets H-1B wage floors by metropolitan statistical area. Austin and Dallas have higher prevailing wages for analytics lead roles than smaller Texas metros, meaning employers in those cities must meet higher minimum thresholds in their Labor Condition Applications. Texas also has strong university pipelines through UT Austin, Texas A&M, and Rice that feed analytics talent into local sponsoring employers.
What is the prevailing wage for sponsored analytics lead 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.