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 JobsReq ID: 269934
General Purpose
The Advanced Analytics Translator is expected to play the role of an integrator between the technical and business roles in an Advanced Analytics project, and be proficient across Data, Analytics, and business acumen. They help define business problems that analytics can help solve, guide technical teams in the creation of analytics-driven solutions to these problems, and embed solutions into business operations.
Duties and Responsibilities
- Bridging the technical expertise of data engineers, architects, and scientists with the operational expertise of marketing, supply chain, manufacturing, risk, and frontline functions. Connecting technical teams (data engineering, scientist) with business and operational stakeholders to identify opportunities, define requirements, and deliver data-driven solutions that address key business needs.
- Lead cross-functional teams to ensure proper understanding of business/functional requirements for data science projects, including the scoping and structuring of data related activities.
- Work with data engineers and data scientists to understand data requirements and problem solve on best practice data structures.
- Understand pros and cons of different analytics approaches, explain advanced algorithms, e.g., econometrics, driver regressions, machine learning etc. in simple terms and perform quality control on analytical outputs, providing targeted input and improvements to algorithms chosen.
- Ensure that the Advanced Analytics solutions developed are deployed and operated in their totality by product owners, with the appropriate follow-up to sustain them, channeling improvements, and maintenance with the technical team.
- Conduct project reviews, feasibility, prioritization, initiation, execution, and user acceptance for all project work related to advanced analytics.
- Measure and communicate the outcomes of the Advanced Analytics projects to different levels of audiences.
- Develop or have deep industry expertise and understand current state of analytics more broadly to be able to apply techniques from across industries.
- Act as an ambassador for Advanced Analytics in the organization, creating awareness of the benefits the area brings to the company.
- Evaluate the multiple mathematical and statistical models and methodologies applied by the technical roles of Advanced Analytics to provide factual recommendations and ensure the outputs fulfill the business’ needs.
- Conduct data analysis to identify trends, patterns, risks, and opportunities, providing actionable insights and recommendations that enable data-driven decision-making across the business.
Qualifications
- Bachelor’s degree in relevant field: Engineering, Computer science, Mathematics, Statistics. Graduate Degree preferred. Bachelor’s degree in Business, Analytics, Engineering, Computer Science, Information Systems, Mathematics, Statistics, or a related field. Advanced degree preferred.
- 3 plus years of work experience required working in a data-centric business environment. 3+ years of experience in analytics, business intelligence, data translation, consulting, or a data-driven business environment.
- Strong business and operational knowledge, desirably from working directly with the operations. Strong business acumen with the ability to understand business processes, identify opportunities, and translate business needs into data, analytics, and technology requirements.
- Strong consultative communication skills, preferably diagnosing data to develop successful growth strategies with clients. Strong communication, facilitation, and stakeholder management skills, with the ability to explain technical concepts and analytical findings to non-technical audiences.
- Familiarity with Advanced Analytics tools such as: Scala, R, Python, SQL, Matlab, SAS, SPSS, Minitab, Hive, Hadoop, Pig, Tableau, Spotfire, etc. Proficiency in SQL and experience using analytics and visualization tools such as Power BI, ThoughtSpot, Python, or similar platforms.
- Knowledge in Statistics, Big Data, Machine Learning, Data Science, IoT. Experience analyzing large and complex datasets to identify trends, opportunities, risks, and actionable business insights.
- Working knowledge of statistics, predictive analytics, machine learning, and data science concepts, with the ability to evaluate and communicate analytical approaches and results.
- Familiarity with predictive statistical models, machine learning, cloud computing, consumer and syndicated data, marketing practices etc. Familiarity with data management concepts, including data modeling, data quality, governance, and cloud-based data platforms.
- Proven comfort and an intellectual curiosity for working with large sets of data, pulling in relevant team members to address identified and sometimes undiscovered needs.
Applicants with disabilities may be entitled to reasonable accommodation under the Americans with Disabilities Act and certain Texas or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Coca-Cola Southwest Beverages. Please inform us at talentacquisition@cocacolaswb.com if you need assistance completing this application or to otherwise participate in the application process.
Know Your Rights dol.gov
Coca-Cola Southwest Beverages LLC is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class.
Req ID: 269934
General Purpose
The Advanced Analytics Translator is expected to play the role of an integrator between the technical and business roles in an Advanced Analytics project, and be proficient across Data, Analytics, and business acumen. They help define business problems that analytics can help solve, guide technical teams in the creation of analytics-driven solutions to these problems, and embed solutions into business operations.
Duties and Responsibilities
- Bridging the technical expertise of data engineers, architects, and scientists with the operational expertise of marketing, supply chain, manufacturing, risk, and frontline functions. Connecting technical teams (data engineering, scientist) with business and operational stakeholders to identify opportunities, define requirements, and deliver data-driven solutions that address key business needs.
- Lead cross-functional teams to ensure proper understanding of business/functional requirements for data science projects, including the scoping and structuring of data related activities.
- Work with data engineers and data scientists to understand data requirements and problem solve on best practice data structures.
- Understand pros and cons of different analytics approaches, explain advanced algorithms, e.g., econometrics, driver regressions, machine learning etc. in simple terms and perform quality control on analytical outputs, providing targeted input and improvements to algorithms chosen.
- Ensure that the Advanced Analytics solutions developed are deployed and operated in their totality by product owners, with the appropriate follow-up to sustain them, channeling improvements, and maintenance with the technical team.
- Conduct project reviews, feasibility, prioritization, initiation, execution, and user acceptance for all project work related to advanced analytics.
- Measure and communicate the outcomes of the Advanced Analytics projects to different levels of audiences.
- Develop or have deep industry expertise and understand current state of analytics more broadly to be able to apply techniques from across industries.
- Act as an ambassador for Advanced Analytics in the organization, creating awareness of the benefits the area brings to the company.
- Evaluate the multiple mathematical and statistical models and methodologies applied by the technical roles of Advanced Analytics to provide factual recommendations and ensure the outputs fulfill the business’ needs.
- Conduct data analysis to identify trends, patterns, risks, and opportunities, providing actionable insights and recommendations that enable data-driven decision-making across the business.
Qualifications
- Bachelor’s degree in relevant field: Engineering, Computer science, Mathematics, Statistics. Graduate Degree preferred. Bachelor’s degree in Business, Analytics, Engineering, Computer Science, Information Systems, Mathematics, Statistics, or a related field. Advanced degree preferred.
- 3 plus years of work experience required working in a data-centric business environment. 3+ years of experience in analytics, business intelligence, data translation, consulting, or a data-driven business environment.
- Strong business and operational knowledge, desirably from working directly with the operations. Strong business acumen with the ability to understand business processes, identify opportunities, and translate business needs into data, analytics, and technology requirements.
- Strong consultative communication skills, preferably diagnosing data to develop successful growth strategies with clients. Strong communication, facilitation, and stakeholder management skills, with the ability to explain technical concepts and analytical findings to non-technical audiences.
- Familiarity with Advanced Analytics tools such as: Scala, R, Python, SQL, Matlab, SAS, SPSS, Minitab, Hive, Hadoop, Pig, Tableau, Spotfire, etc. Proficiency in SQL and experience using analytics and visualization tools such as Power BI, ThoughtSpot, Python, or similar platforms.
- Knowledge in Statistics, Big Data, Machine Learning, Data Science, IoT. Experience analyzing large and complex datasets to identify trends, opportunities, risks, and actionable business insights.
- Working knowledge of statistics, predictive analytics, machine learning, and data science concepts, with the ability to evaluate and communicate analytical approaches and results.
- Familiarity with predictive statistical models, machine learning, cloud computing, consumer and syndicated data, marketing practices etc. Familiarity with data management concepts, including data modeling, data quality, governance, and cloud-based data platforms.
- Proven comfort and an intellectual curiosity for working with large sets of data, pulling in relevant team members to address identified and sometimes undiscovered needs.
Applicants with disabilities may be entitled to reasonable accommodation under the Americans with Disabilities Act and certain Texas or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Coca-Cola Southwest Beverages. Please inform us at talentacquisition@cocacolaswb.com if you need assistance completing this application or to otherwise participate in the application process.
Know Your Rights dol.gov
Coca-Cola Southwest Beverages LLC is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class.
Analytics Lead Job Roles 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.