Analytics Manager Visa Sponsorship Jobs in New Jersey
New Jersey's analytics manager market draws heavily from its pharmaceutical corridor along Route 1, financial services firms in Jersey City, and major tech employers in Newark and Princeton. Companies like Johnson & Johnson, Cognizant, and Prudential Financial regularly sponsor international talent for analytics leadership roles across the state.
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Job Number #175762 - Piscataway, New Jersey, 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.
Sr. Manager, Customer Analytics and Experience
In today’s dynamic technology environment, it is an exciting time to be a part of the Advanced Analytics team at Colgate. Our highly insight driven and innovative team is dedicated to driving growth for Colgate Palmolive (CP) in this ever-changing landscape. What role will you play as a member of Colgate's North America Customer Analytics and Experience Manager?
This role involves developing predictive models, simulations, and optimizations to address business challenges, leveraging Machine Learning (ML) and Artificial Intelligence (AI) for scalable solutions for Colgate’s customers in North America. Reporting to Customer Engagement Senior Director, this role requires managing internal and external data sources, including warehouse and store level in-stock levels, Point of Sales, forecasting studies and other key customer level supply chain KPIs to provide clear insights to customer engagement teams. Additionally, the role demands close collaboration with global analytics and GIT teams to build solutions to solve business problems, analyze patterns, and drive sales as part of Colgate’s global strategy.
The ideal candidate will have experience with statistical data analytics, modeling, and algorithms, and will have worked with large datasets to drive performance and insights reporting. This role is a managerial role that has the responsibility of ensuring the direct reporting team understands the strategy and works closely with the customer engagement team as well as global stakeholders to resolve them.
What you will do:
- Continue to build and evolve CP’s 2030 strategy for NA Customer Engagement Analytics by leading a comprehensive assessment of the current data & analytics landscape, identify gaps, inefficiencies, and opportunities
- Collaborate with GIT and Global Supply Chain Analytics team and be part of the global strategies to solve business problems at global scale
- Periodic assessment to determine what data sets, solutions, reports, and technology should be prioritized and scaled
- Define key performance metrics and data governance frameworks to ensure consistency, accuracy, and accessibility of insights across CP’s customers in North America
- Identify what advanced analytics solutions and capabilities should be leveraged and used to support the Customer Engagement team as well as the Customer Service and Logistics team to drive efficiencies
- Lead the utilization of advancements in technology, AI and GenAI to deliver efficiencies in their day-to-day efforts as well as business growth
- Develop and deploy AI Assistants understanding what is the largest need with the most important impact in the business
- Understands business needs and questions and identifies the right analytics capabilities to solve them
- Translates the analytics and integrates and implements learnings into business processes
- Assist with change management needs (e.g., training, communications, etc.) as part of roll-out and ongoing support of analytic tools, processes and services
Required Qualifications
- Bachelors Degree in Statistics, Business Analytics, Data Science or similar field
- 10+ years of experience in driving analytical insights and solutions
- Experience supporting and working with multi-functional teams in a dynamic environment
- Strong hands-on/experience on developing statistical models and on coding languages such as Python, SQL, PySpark, SparkR
- Working knowledge on visualization tools like Domo, Looker, Sigma, Power BI or any similar
- Leverage knowledge of Snowflake to efficiently query, manage, and scale large data environments in support of advanced analytics initiatives
- Strong knowledge of Circana, NielsenIQ, 1010data, or point-of-sale (POS) or any similar retailer data tools.
Preferred Qualifications
- Masters in Statistics/Economics or MBA in Business Analytics / Data Science
- Mastering in advancements in agentic AI
- Implementation Knowledge of machine learning techniques and their real-world advantages/drawbacks.
- Presentation skills, including structuring and storytelling to update on progress, key challenges and support needed
- Ability to provide structure and think strategically in complex business context
- Build processes supporting data transformation, data structures, metadata, dependency and workload management
- Ability to independently plan and execute deliveries
- Managing and leading a team for solutioning predictive models and ad-hoc data needs from internal sources
Compensation and Benefits
Salary Range $139,200.00 - $174,000.00 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
No Relocation Assistance Offered
Job Number #175762 - Piscataway, New Jersey, 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.
Sr. Manager, Customer Analytics and Experience
In today’s dynamic technology environment, it is an exciting time to be a part of the Advanced Analytics team at Colgate. Our highly insight driven and innovative team is dedicated to driving growth for Colgate Palmolive (CP) in this ever-changing landscape. What role will you play as a member of Colgate's North America Customer Analytics and Experience Manager?
This role involves developing predictive models, simulations, and optimizations to address business challenges, leveraging Machine Learning (ML) and Artificial Intelligence (AI) for scalable solutions for Colgate’s customers in North America. Reporting to Customer Engagement Senior Director, this role requires managing internal and external data sources, including warehouse and store level in-stock levels, Point of Sales, forecasting studies and other key customer level supply chain KPIs to provide clear insights to customer engagement teams. Additionally, the role demands close collaboration with global analytics and GIT teams to build solutions to solve business problems, analyze patterns, and drive sales as part of Colgate’s global strategy.
The ideal candidate will have experience with statistical data analytics, modeling, and algorithms, and will have worked with large datasets to drive performance and insights reporting. This role is a managerial role that has the responsibility of ensuring the direct reporting team understands the strategy and works closely with the customer engagement team as well as global stakeholders to resolve them.
What you will do:
- Continue to build and evolve CP’s 2030 strategy for NA Customer Engagement Analytics by leading a comprehensive assessment of the current data & analytics landscape, identify gaps, inefficiencies, and opportunities
- Collaborate with GIT and Global Supply Chain Analytics team and be part of the global strategies to solve business problems at global scale
- Periodic assessment to determine what data sets, solutions, reports, and technology should be prioritized and scaled
- Define key performance metrics and data governance frameworks to ensure consistency, accuracy, and accessibility of insights across CP’s customers in North America
- Identify what advanced analytics solutions and capabilities should be leveraged and used to support the Customer Engagement team as well as the Customer Service and Logistics team to drive efficiencies
- Lead the utilization of advancements in technology, AI and GenAI to deliver efficiencies in their day-to-day efforts as well as business growth
- Develop and deploy AI Assistants understanding what is the largest need with the most important impact in the business
- Understands business needs and questions and identifies the right analytics capabilities to solve them
- Translates the analytics and integrates and implements learnings into business processes
- Assist with change management needs (e.g., training, communications, etc.) as part of roll-out and ongoing support of analytic tools, processes and services
Required Qualifications
- Bachelors Degree in Statistics, Business Analytics, Data Science or similar field
- 10+ years of experience in driving analytical insights and solutions
- Experience supporting and working with multi-functional teams in a dynamic environment
- Strong hands-on/experience on developing statistical models and on coding languages such as Python, SQL, PySpark, SparkR
- Working knowledge on visualization tools like Domo, Looker, Sigma, Power BI or any similar
- Leverage knowledge of Snowflake to efficiently query, manage, and scale large data environments in support of advanced analytics initiatives
- Strong knowledge of Circana, NielsenIQ, 1010data, or point-of-sale (POS) or any similar retailer data tools.
Preferred Qualifications
- Masters in Statistics/Economics or MBA in Business Analytics / Data Science
- Mastering in advancements in agentic AI
- Implementation Knowledge of machine learning techniques and their real-world advantages/drawbacks.
- Presentation skills, including structuring and storytelling to update on progress, key challenges and support needed
- Ability to provide structure and think strategically in complex business context
- Build processes supporting data transformation, data structures, metadata, dependency and workload management
- Ability to independently plan and execute deliveries
- Managing and leading a team for solutioning predictive models and ad-hoc data needs from internal sources
Compensation and Benefits
Salary Range $139,200.00 - $174,000.00 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.
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Analytics Manager Job Roles in New Jersey
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Search Analytics Manager Jobs in New JerseyAnalytics Manager Jobs in New Jersey: Frequently Asked Questions
Which companies sponsor visas for analytics managers in New Jersey?
New Jersey's largest visa sponsors for analytics managers include Johnson & Johnson, Merck, Cognizant, Prudential Financial, and Conduent, based on Department of Labor LCA disclosure data. Pharmaceutical companies along the Route 1 corridor and financial services firms in Jersey City and Newark account for a significant share of sponsorship activity, particularly for roles requiring advanced data modeling and business intelligence expertise.
Which visa types are most common for analytics manager roles in New Jersey?
The H-1B visa is the most common visa for analytics managers in New Jersey, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in statistics, data science, computer science, or a related field. Candidates from India or China may also be sponsored for EB-2 or EB-3 green card pathways. L-1A intracompany transfers are another route for managers moving within multinational firms headquartered in New Jersey.
Which cities in New Jersey have the most analytics manager sponsorship jobs?
Jersey City leads in analytics manager sponsorship activity, driven by its concentration of financial services and fintech firms just across from Manhattan. Newark, Princeton, and Parsippany-Troy Hills are also active markets, with pharmaceutical and life sciences companies in the Princeton corridor and large back-office operations in Parsippany. Edison and Iselin round out the list, reflecting New Jersey's dense tech and consulting employer base.
How to find analytics manager visa sponsorship jobs in New Jersey?
Migrate Mate is built specifically for international job seekers looking for visa sponsorship roles in the U.S. You can filter by state and job title to find analytics manager positions in New Jersey where employers have a documented history of sponsoring visas. This helps you focus your search on companies already familiar with the H-1B process rather than approaching employers who may be unfamiliar with sponsorship requirements.
Are there any state-specific considerations for analytics managers pursuing sponsorship in New Jersey?
New Jersey sits within the New York City metropolitan prevailing wage zone, which means Department of Labor wage requirements for H-1B analytics manager roles are among the highest in the country. Employers must certify that the offered wage meets or exceeds the prevailing wage level for the specific location and job title. New Jersey's university system, including Rutgers and NJIT, also produces a steady pipeline of data analytics talent that some employers draw from before turning to international sponsorship.
What is the prevailing wage for sponsored analytics manager jobs in New Jersey?
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.