Data Analytics Manager Jobs in USA with Visa Sponsorship
Data Analytics Manager roles attract strong H-1B sponsorship from tech, finance, and healthcare employers. Most require a bachelor's or master's in a quantitative field, and the specialty occupation standard is consistently met given the degree-specific nature of the work. For detailed occupation requirements, see the O*NET profile.
See All Data Analytics Manager JobsOverview
Showing 5 of 4,036+ Data Analytics Manager jobs
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all 4,036+ Data Analytics Manager jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Analytics Manager roles.
Get Access To All JobsAt Kia, we’re creating award-winning products and redefining what value means in the automotive industry. It takes a special group of individuals to do what we do, and we do it together. Our culture is fast-paced, collaborative, and innovative. Our people thrive on thinking differently and challenging the status quo. We are creating something special here, a culture of learning and opportunity, where you can help Kia achieve big things and most importantly, feel passionate and connected to your work every day.
Kia provides team members with competitive benefits including premium paid medical, dental and vision coverage for you and your dependents, 401(k) plan matching of 100% up to 6% of the salary deferral, and paid time off. Kia also offers company lease and purchase programs, company-wide holiday shutdown, paid volunteer hours, and premium lifestyle amenities at our corporate campus in Irvine, California.
Status
Exempt
General Summary
The Data Analytics Manager is responsible for defining, leading, and executing the end-to-end data strategy that enables the Kia North America Product Quality team to identify, prioritize, and address potential emerging vehicle quality concerns. The role manages the frameworks, systems, and analytical methodologies used to integrate traditional and non-traditional data sources, develop advanced statistical and AI models, and translate complex market indicators into actionable quality insights.
The Manager will work closely with their peers to lead Product Quality data analytics. This includes overseeing model development, data source management, AI implementation and validation, system management and enhancements, and alignment with engineering, IT, and external third-party partners. The role will utilize a strong programming background and critical thinking to troubleshoot issues, find solutions, and gain consensus.
Essential Duties and Responsibilities
ESSENTIAL DUTIES
Priority One – 40%
- Define and manage Product Quality’s data and analytics strategy, including data sources, modeling frameworks, AI integration, and issue-ranking methodologies.
Priority Two – 30%
- Lead development of prediction and classification models. Build visualizations and dashboards to support Product Quality team operations.
Priority Three – 20%
- Manage analytics platforms, dashboards, and reporting strategies to support operational decision making.
Priority Four – 10%
- Oversee Product Quality team’s IT projects through collaborations with IT affiliates and/or outside vendors.
This list of essential responsibilities and duties is not exhaustive and may be supplemented and changed as necessary by management.
DAY-TO-DAY DUTIES
- Design and maintain product quality processes and tools:
- Analyze large amounts of data to discover trends of patterns. This can include, but is not limited to, data from Kia’s dealership network obtained through warranty and vehicle diagnostics.
- Build prediction and classification models.
- Test and continuously improve the accuracy of models.
- Create methodology to identify and rank potential quality issues to support Service Engineering team.
-
Investigate new technologies to investigate and quantify non-traditional product quality feedback.
-
Build visualizations and dashboards:
-
Work within Product Quality Data Analytics team to develop visualizations and dashboards to assist Service Engineering team in investigation of potential quality concerns.
-
Manage Product Quality IT projects:
-
Collaborate with IT affiliates and/or outside vendors to develop, maintain, and improve product quality systems.
-
Ensure that Product Quality systems are aligned with other corporate efforts.
-
Support Data Analysis:
-
Provide analysis in monitoring field data, conducting investigations, and making informed business decisions.
Qualifications/Education
- Bachelor’s degree or equivalent experience in Analytics, Data Science, Engineering, Statistics, Computer Science, or another quantitative field required.
- Masters’s degree preferred.
Job Requirement
- Minimum of 7 years of data analytics experience required specifically modeling/reliability analysis.
- Demonstrated experience leading analytics strategy, projects, or teams required.
- Prior projects related to reliability and/or quality required.
- Experience with SAS, SQL, Python, R, or another programming language with focus on data analysis.
- Experience developing predictive models on time-series data is strongly desired.
- Experience supporting engineering, quality, or statistical analysis (Maximum Likelihood Estimation, Bayesian methods, Monte Carlo analysis, Weibull distribution, etc.).
- Experience working with and creating relational databases, and highly integrated systems.
- Experience building visualizations and dashboards for stakeholders (e.g., using SAS Visual Analytics and Power BI).
- Experience with HTML and JavaScript is a plus.
- Experience utilizing machine learning and AI is a plus.
Other Requirements
- Physical Requirements: frequent sitting, vision, hearing, typing, and talking.
- Up to 5% of domestic and/or international travel.
- Job demands may include reading (documents), detailed work, confidentiality, problem solving, language, reasoning skills, oral communication, written communication, customer contact, ability to effectively present information in one-on-one and small group situations to customers, vendors, and other employees, multiple concurrent tasks, ability to work with frequent interruptions, etc.
- Must be able to maintain focus and attention to detail in a fast-paced environment.
- Ability to analyze information and make sound decisions under time constraints.
- Problem-solving skills and the ability to work independently.
- Must be able to respond to challenges with poise and agility.
- Ability to handle competing priorities effectively and with composure.
- Other duties as assigned.
Specialized Skills and Knowledge Required
- Strong technical writing capabilities and oral communication skills.
- Experience querying databases using statistical computer languages (SAS, Python, R, SQL, etc.).
- Experience building visualizations and dashboards (SAS Visual Analytics, Power BI, etc.).
- Proficient knowledge of PC and software (Word, Excel, PowerPoint, Outlook, etc.).
- Proven ability to execute projects with self-starting attitude, responsibility, and accountability.
- Strong programming background. Proficiency with relational databases and integrated systems.
Competencies
- Care for People
- Chase Excellence Every Day
- Dare to Push Boundaries
- Empower People to Act
- Move Further Together
Pay Range
$89,936 - $121,409
Pay will be based on several variables that are unique to each candidate, including but not limited to, job-related skills, experience, relevant education or training, etc.
Equal Employment Opportunities
KUS provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, ancestry, national origin, sex, including pregnancy and childbirth and related medical conditions, gender, gender identity, gender expression, age, legally protected physical disability or mental disability, legally protected medical condition, marital status, sexual orientation, family care or medical leave status, protected veteran or military status, genetic information or any other characteristic protected by applicable law. KUS complies with applicable law governing non-discrimination in employment in every location in which KUS has offices. The KUS EEO policy applies to all areas of employment, including recruitment, hiring, training, promotion, compensation, benefits, discipline, termination and all other privileges, terms and conditions of employment.
Disclaimer: The above information on this job description has been designed to indicate the general nature and level of work performed by employees within this classification and for this position. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job.
At Kia, we’re creating award-winning products and redefining what value means in the automotive industry. It takes a special group of individuals to do what we do, and we do it together. Our culture is fast-paced, collaborative, and innovative. Our people thrive on thinking differently and challenging the status quo. We are creating something special here, a culture of learning and opportunity, where you can help Kia achieve big things and most importantly, feel passionate and connected to your work every day.
Kia provides team members with competitive benefits including premium paid medical, dental and vision coverage for you and your dependents, 401(k) plan matching of 100% up to 6% of the salary deferral, and paid time off. Kia also offers company lease and purchase programs, company-wide holiday shutdown, paid volunteer hours, and premium lifestyle amenities at our corporate campus in Irvine, California.
Status
Exempt
General Summary
The Data Analytics Manager is responsible for defining, leading, and executing the end-to-end data strategy that enables the Kia North America Product Quality team to identify, prioritize, and address potential emerging vehicle quality concerns. The role manages the frameworks, systems, and analytical methodologies used to integrate traditional and non-traditional data sources, develop advanced statistical and AI models, and translate complex market indicators into actionable quality insights.
The Manager will work closely with their peers to lead Product Quality data analytics. This includes overseeing model development, data source management, AI implementation and validation, system management and enhancements, and alignment with engineering, IT, and external third-party partners. The role will utilize a strong programming background and critical thinking to troubleshoot issues, find solutions, and gain consensus.
Essential Duties and Responsibilities
ESSENTIAL DUTIES
Priority One – 40%
- Define and manage Product Quality’s data and analytics strategy, including data sources, modeling frameworks, AI integration, and issue-ranking methodologies.
Priority Two – 30%
- Lead development of prediction and classification models. Build visualizations and dashboards to support Product Quality team operations.
Priority Three – 20%
- Manage analytics platforms, dashboards, and reporting strategies to support operational decision making.
Priority Four – 10%
- Oversee Product Quality team’s IT projects through collaborations with IT affiliates and/or outside vendors.
This list of essential responsibilities and duties is not exhaustive and may be supplemented and changed as necessary by management.
DAY-TO-DAY DUTIES
- Design and maintain product quality processes and tools:
- Analyze large amounts of data to discover trends of patterns. This can include, but is not limited to, data from Kia’s dealership network obtained through warranty and vehicle diagnostics.
- Build prediction and classification models.
- Test and continuously improve the accuracy of models.
- Create methodology to identify and rank potential quality issues to support Service Engineering team.
-
Investigate new technologies to investigate and quantify non-traditional product quality feedback.
-
Build visualizations and dashboards:
-
Work within Product Quality Data Analytics team to develop visualizations and dashboards to assist Service Engineering team in investigation of potential quality concerns.
-
Manage Product Quality IT projects:
-
Collaborate with IT affiliates and/or outside vendors to develop, maintain, and improve product quality systems.
-
Ensure that Product Quality systems are aligned with other corporate efforts.
-
Support Data Analysis:
-
Provide analysis in monitoring field data, conducting investigations, and making informed business decisions.
Qualifications/Education
- Bachelor’s degree or equivalent experience in Analytics, Data Science, Engineering, Statistics, Computer Science, or another quantitative field required.
- Masters’s degree preferred.
Job Requirement
- Minimum of 7 years of data analytics experience required specifically modeling/reliability analysis.
- Demonstrated experience leading analytics strategy, projects, or teams required.
- Prior projects related to reliability and/or quality required.
- Experience with SAS, SQL, Python, R, or another programming language with focus on data analysis.
- Experience developing predictive models on time-series data is strongly desired.
- Experience supporting engineering, quality, or statistical analysis (Maximum Likelihood Estimation, Bayesian methods, Monte Carlo analysis, Weibull distribution, etc.).
- Experience working with and creating relational databases, and highly integrated systems.
- Experience building visualizations and dashboards for stakeholders (e.g., using SAS Visual Analytics and Power BI).
- Experience with HTML and JavaScript is a plus.
- Experience utilizing machine learning and AI is a plus.
Other Requirements
- Physical Requirements: frequent sitting, vision, hearing, typing, and talking.
- Up to 5% of domestic and/or international travel.
- Job demands may include reading (documents), detailed work, confidentiality, problem solving, language, reasoning skills, oral communication, written communication, customer contact, ability to effectively present information in one-on-one and small group situations to customers, vendors, and other employees, multiple concurrent tasks, ability to work with frequent interruptions, etc.
- Must be able to maintain focus and attention to detail in a fast-paced environment.
- Ability to analyze information and make sound decisions under time constraints.
- Problem-solving skills and the ability to work independently.
- Must be able to respond to challenges with poise and agility.
- Ability to handle competing priorities effectively and with composure.
- Other duties as assigned.
Specialized Skills and Knowledge Required
- Strong technical writing capabilities and oral communication skills.
- Experience querying databases using statistical computer languages (SAS, Python, R, SQL, etc.).
- Experience building visualizations and dashboards (SAS Visual Analytics, Power BI, etc.).
- Proficient knowledge of PC and software (Word, Excel, PowerPoint, Outlook, etc.).
- Proven ability to execute projects with self-starting attitude, responsibility, and accountability.
- Strong programming background. Proficiency with relational databases and integrated systems.
Competencies
- Care for People
- Chase Excellence Every Day
- Dare to Push Boundaries
- Empower People to Act
- Move Further Together
Pay Range
$89,936 - $121,409
Pay will be based on several variables that are unique to each candidate, including but not limited to, job-related skills, experience, relevant education or training, etc.
Equal Employment Opportunities
KUS provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, ancestry, national origin, sex, including pregnancy and childbirth and related medical conditions, gender, gender identity, gender expression, age, legally protected physical disability or mental disability, legally protected medical condition, marital status, sexual orientation, family care or medical leave status, protected veteran or military status, genetic information or any other characteristic protected by applicable law. KUS complies with applicable law governing non-discrimination in employment in every location in which KUS has offices. The KUS EEO policy applies to all areas of employment, including recruitment, hiring, training, promotion, compensation, benefits, discipline, termination and all other privileges, terms and conditions of employment.
Disclaimer: The above information on this job description has been designed to indicate the general nature and level of work performed by employees within this classification and for this position. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job.
How to Get Visa Sponsorship as a Data Analytics Manager
Lead with quantifiable impact
Hiring managers and immigration attorneys both need to justify sponsorship. Frame your experience around measurable outcomes, revenue influenced, models deployed, team size managed, to make the business case for sponsorship concrete and defensible.
Target employers with a sponsorship track record
Not all companies sponsor analytics managers. Prioritize employers who have filed H-1B petitions for similar roles before. Migrate Mate filters sponsoring employers so you can focus your applications where approval odds are strongest.
Align your degree field to the role description
USCIS requires your degree field to relate directly to the job. Statistics, computer science, mathematics, information systems, and engineering all map cleanly. A business degree alone may require additional documentation to satisfy the specialty occupation standard.
Get the LCA right before your interview
Your employer files a Labor Condition Application with the Department of Labor before submitting the H-1B petition. Confirm the prevailing wage level on the LCA matches your actual offer, mismatches are a common and avoidable source of delay.
Understand the O-1A as a backup path
If you missed the H-1B lottery, the O-1A visa for extraordinary ability is an alternative. Analytics managers with published research, industry awards, or notable team leadership can build a compelling O-1A case without waiting for the next registration window.
Document your managerial scope clearly
USCIS scrutinizes job duties closely for managerial analytics roles. Clearly distinguish your strategic and oversight responsibilities from individual contributor work. Vague duty descriptions increase the risk of a Request for Evidence on specialty occupation.
Data Analytics Manager jobs are hiring across the US. Find yours.
Find Data Analytics Manager JobsSee all 4,036+ Data Analytics Manager jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Analytics Manager roles.
Get Access To All JobsFrequently Asked Questions
Do Data Analytics Manager roles qualify as H-1B specialty occupations?
Yes, consistently. USCIS has a strong approval track record for analytics manager petitions because the role requires at minimum a bachelor's degree in a specific field such as statistics, computer science, or mathematics. Generic management roles sometimes face scrutiny, but data analytics management is degree-specific enough that the specialty occupation standard is routinely met, especially when the job description emphasizes technical oversight and analytical decision-making.
What degree do I need for an employer to sponsor my Data Analytics Manager visa?
Most H-1B petitions for this role are supported by a bachelor's or master's degree in statistics, data science, computer science, mathematics, information systems, or engineering. A general business degree may work if your transcript shows substantial quantitative coursework. USCIS looks at whether the specific degree field is a normal requirement for entry into the occupation, so the field of study matters as much as the level.
How competitive is H-1B sponsorship for Data Analytics Manager positions?
Demand is high. Analytics manager roles appear frequently in H-1B disclosure data across technology, financial services, consulting, and healthcare employers. The overall H-1B lottery selection rate has been around 25% in recent registration years, but cap-exempt employers, universities, nonprofits, and certain research institutions, can file outside the lottery entirely. Targeting those employers improves your chances of securing status without depending on lottery selection.
Which types of employers sponsor Data Analytics Manager roles most often?
Technology companies, financial services firms, large consulting practices, healthcare systems, and retail corporations with significant data infrastructure are the most consistent sponsors. Companies with established analytics functions and existing H-1B programs are far more likely to sponsor than early-stage startups without prior immigration experience. Browse Migrate Mate to filter specifically for Data Analytics Manager roles at employers with verified sponsorship histories.
Can I switch to a Data Analytics Manager role on an existing H-1B?
Yes, but a new H-1B petition is required if the job duties represent a material change from your current approved role. If you're already in H-1B status, your new employer files an H-1B transfer petition, and you can typically start working once it's filed rather than waiting for approval. If the analytics manager duties differ significantly from your current role even at the same employer, an amended petition is required.
What is the prevailing wage requirement for sponsored Data Analytics Manager 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.
See which Data Analytics Manager employers are hiring and sponsoring visas right now.
Search Data Analytics Manager Jobs