Data Analytics Specialist Jobs in USA with Visa Sponsorship
Data Analytics Specialist positions qualify for H-1B visa, E-3 visa, and TN visa sponsorship when the role requires a bachelor's degree in mathematics, statistics, computer science, or related quantitative field. Companies like Google, Amazon, and Microsoft regularly sponsor these roles, with strong approval rates due to clear specialty occupation requirements. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsRequisition ID 172278
Posted 04/15/2026
Supply Chain/Manufacturing
United States
Kansas
Topeka
Hill's Pet Nutrition
Travel - up to 10% of time
Hybrid
No Relocation Assistance Offered
Job Number #172278 - Topeka, Kansas, United States
Who We Are
Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name!
Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all.
Responsibilities:
- Develop and implement data analysis tools to support the global Hill’s packaging organization.
- Design and build dashboards and control systems for tracking key performance indicators (KPIs) and operational metrics.
- Create and maintain project management tools to improve efficiency and workflow within the packaging team.
- Identify opportunities for process simplification and develop solutions to achieve these efficiencies.
- Perform comprehensive data analysis to identify trends, opportunities, and areas for improvement in packaging operations.
- Ensure data accuracy and integrity across all developed tools and dashboards.
- Develop metrics and data governance for packaging master data.
- Model cost and sustainability trade-offs, including lifecycle assessment inputs.
- Monitor quality and compliance: defect trends, customer/retailer compliance. Lead improvement meetings to address opportunities.
- Provide training and support to end-users on newly developed tools and systems.
- Collaborate with cross-functional teams for process improvement.
- Automate routine tasks.
- Develop predictive models.
Required Qualifications:
- Minimum of a Bachelor's degree in Data Science, Computer Science, Engineering, or a related quantitative field.
- Minimum of 2 years of experience in consumer goods or pharmaceutical company.
- Proven experience in data analysis, tool development, and dashboard creation.
- Proficiency in data visualization tools (e.g, Smartsheets, Google suite, BI Tools).
Preferred Qualifications:
- Programming skills in languages such as Python, SQL.
- Experience with project management methodologies and tools.
- Familiarity with packaging processes and supply chain operations.
Compensation and Benefits
- Salary Range: $98,000.00 - $120,000.00 USD
Pay is determined based on experience, qualifications, and location. Salaried employees may also be eligible for discretionary bonuses, profit-sharing, and long-term incentives for Executive-level roles.
Benefits: Salaried employees enjoy a comprehensive benefits package, including medical, dental, vision, basic life insurance, paid parental leave, disability coverage, and participation in the 401(k) retirement plan with company matching contributions subject to eligibility requirements. Additional benefits include a minimum of 15 vacation/PTO days (hourly employees receive a minimum of 120 hours) and 13 paid holidays (vacation days are prorated based on the employee's hire date within the calendar year). Paid sick leave is adjusted based on role and location in accordance with local laws. Detailed information regarding paid sick leave entitlements will be provided to employees upon hiring and may be subject to adjustments based on changes in legislation or company policies.
Our Commitment to Inclusion
Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business.
Equal Opportunity Employer
Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law.
Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.
For additional Colgate terms and conditions, please click here.
LI-Hybrid
Requisition ID 172278
Posted 04/15/2026
Supply Chain/Manufacturing
United States
Kansas
Topeka
Hill's Pet Nutrition
Travel - up to 10% of time
Hybrid
No Relocation Assistance Offered
Job Number #172278 - Topeka, Kansas, United States
Who We Are
Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name!
Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all.
Responsibilities:
- Develop and implement data analysis tools to support the global Hill’s packaging organization.
- Design and build dashboards and control systems for tracking key performance indicators (KPIs) and operational metrics.
- Create and maintain project management tools to improve efficiency and workflow within the packaging team.
- Identify opportunities for process simplification and develop solutions to achieve these efficiencies.
- Perform comprehensive data analysis to identify trends, opportunities, and areas for improvement in packaging operations.
- Ensure data accuracy and integrity across all developed tools and dashboards.
- Develop metrics and data governance for packaging master data.
- Model cost and sustainability trade-offs, including lifecycle assessment inputs.
- Monitor quality and compliance: defect trends, customer/retailer compliance. Lead improvement meetings to address opportunities.
- Provide training and support to end-users on newly developed tools and systems.
- Collaborate with cross-functional teams for process improvement.
- Automate routine tasks.
- Develop predictive models.
Required Qualifications:
- Minimum of a Bachelor's degree in Data Science, Computer Science, Engineering, or a related quantitative field.
- Minimum of 2 years of experience in consumer goods or pharmaceutical company.
- Proven experience in data analysis, tool development, and dashboard creation.
- Proficiency in data visualization tools (e.g, Smartsheets, Google suite, BI Tools).
Preferred Qualifications:
- Programming skills in languages such as Python, SQL.
- Experience with project management methodologies and tools.
- Familiarity with packaging processes and supply chain operations.
Compensation and Benefits
- Salary Range: $98,000.00 - $120,000.00 USD
Pay is determined based on experience, qualifications, and location. Salaried employees may also be eligible for discretionary bonuses, profit-sharing, and long-term incentives for Executive-level roles.
Benefits: Salaried employees enjoy a comprehensive benefits package, including medical, dental, vision, basic life insurance, paid parental leave, disability coverage, and participation in the 401(k) retirement plan with company matching contributions subject to eligibility requirements. Additional benefits include a minimum of 15 vacation/PTO days (hourly employees receive a minimum of 120 hours) and 13 paid holidays (vacation days are prorated based on the employee's hire date within the calendar year). Paid sick leave is adjusted based on role and location in accordance with local laws. Detailed information regarding paid sick leave entitlements will be provided to employees upon hiring and may be subject to adjustments based on changes in legislation or company policies.
Our Commitment to Inclusion
Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business.
Equal Opportunity Employer
Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law.
Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.
For additional Colgate terms and conditions, please click here.
LI-Hybrid
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Get Access To All JobsTips for Finding Visa Sponsorship as a Data Analytics Specialist
Target quantitative-focused job descriptions
Look for postings emphasizing statistical modeling, data mining, or machine learning. Roles requiring specific tools like Python, R, or SQL demonstrate specialty occupation requirements that strengthen visa applications.
Highlight relevant degree alignment
Your mathematics, statistics, computer science, or data science degree directly supports visa approval. Include coursework in statistical analysis, database management, and programming languages in your application materials.
Focus on established data-driven companies
Technology firms, financial institutions, and healthcare organizations regularly sponsor analytics roles. These companies have established sponsorship processes and understand the specialty occupation requirements for data positions.
Emphasize technical complexity in your role
Document specific analytical methods, statistical models, and complex datasets you work with. USCIS approves roles demonstrating advanced technical skills that require specialized education and training.
Research company sponsorship history
Check H-1B disclosure data to verify employers' sponsorship patterns for analytics roles. Companies with consistent data analyst sponsorship records have proven track records navigating the approval process.
Prepare for LCA wage requirements
Analytics roles must meet prevailing wage levels based on location and experience. Research DOL wage determinations for your target cities to ensure position offers meet minimum requirements.
Data Analytics Specialist jobs are hiring across the US. Find yours.
Find Data Analytics Specialist JobsFrequently Asked Questions
What degree do I need for H-1B sponsorship as a Data Analytics Specialist?
You need a bachelor's degree in mathematics, statistics, computer science, economics, or a closely related quantitative field. The degree must directly relate to the analytical and statistical work required in the role. Alternative combinations like business with heavy statistics coursework may qualify depending on the specific job requirements.
Do Data Analytics Specialist roles qualify as specialty occupations for visa sponsorship?
Yes, when the position requires specialized knowledge in statistical analysis, data modeling, or quantitative research methods that can only be acquired through a bachelor's degree or higher in a specific field. Generic business analyst roles may not qualify, but positions emphasizing technical analysis typically do.
Which visa types work best for Data Analytics Specialist positions?
H-1B is most common and works for all nationalities. E-3 is ideal for Australians with no lottery requirement. TN visa works for Canadians and Mexicans if the role qualifies as "Mathematician" or "Statistician" under NAFTA categories, though this requires careful job description alignment.
How do employers prove the need for a Data Analytics Specialist visa sponsorship?
Employers document the role's complexity through required technical skills, advanced statistical methods, and specialized software knowledge. The job description must demonstrate that the position requires theoretical and practical knowledge typically acquired through specialized education, not just general business experience.
What's the approval rate for Data Analytics Specialist H-1B petitions?
Analytics roles generally have strong approval rates when properly documented, as they clearly require specialized quantitative education. Positions at established companies with detailed job descriptions emphasizing statistical modeling and data science techniques typically see approval rates above the overall H-1B average of approximately 85%.
What is the prevailing wage requirement for sponsored Data Analytics Specialist jobs?
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.
How to find Data Analytics Specialist jobs with visa sponsorship?
To find Data Analytics Specialist positions with visa sponsorship, use Migrate Mate, which specializes in connecting international candidates with sponsoring employers. Focus your search on tech companies, consulting firms, financial services, and healthcare organizations that frequently sponsor H-1B, O-1, and other work visas for data professionals. These industries actively recruit skilled analysts for business intelligence, predictive modeling, and data science roles.
See which Data Analytics Specialist employers are hiring and sponsoring visas right now.
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