Analytics Lead Jobs in New Jersey
Analytics Lead jobs in New Jersey are in strong demand, concentrated in financial services, pharmaceuticals, and consumer goods across a market that supports everything from emerging analysts to senior-level leads overseeing large data teams. The heaviest hiring is in and around Newark, Jersey City, and Princeton, where anchor employers like Johnson & Johnson, Prudential Financial, and Cognizant maintain substantial analytics operations. The most sought-after specialties in New Jersey listings are marketing analytics, commercial data strategy, and healthcare data analytics. Find a role that fits below and apply directly.
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Showing 5 of 12+ Analytics Lead jobs
Join a team that connects data to real outcomes for a global financial institution. You will build scalable data applications, centralize critical datasets, and deliver analytics that help teams make faster, better decisions. If you enjoy solving complex problems end-to-end—from understanding the need to launching a working solution—this role offers a high-visibility opportunity to make an impact. You'll work across finance, product, operations, and technology to modernize how information is accessed and used.
Job summary
As a Data Solutions & Analytics Lead in the Securities Services Finance Data Solutions & Analytics team, you will build and manage data solutions that streamline reporting, enable automation, and improve how teams access and act on information. You will partner with stakeholders to define problems clearly, translate needs into requirements, and deliver production-ready solutions. You will work hands-on with large datasets, create data models, and deliver analytics that support decision-making. You will help establish best practices and contribute to a collaborative, solutions-oriented team culture.
This role blends data analytics, product delivery, and project execution. You will help centralize key datasets in a data lake and develop reusable data assets that reduce fragmentation and manual effort. You'll have the opportunity to initiate artificial intelligence and machine learning use cases where they can improve process efficiency and decision-making. Success in this role comes from strong ownership, clear communication, and the ability to move from ambiguity to delivery.
Job responsibilities
- Design and develop data models that integrate complex datasets and enable analytics at scale.
- Analyze data using tools such as SQL, Python, Tableau, Alteryx, or similar platforms to uncover insights and improve outcomes.
- Automate recurring reporting and manual processes to improve efficiency and reduce operational risk.
- Lead end-to-end project delivery, including requirements gathering, documentation, and stakeholder updates.
- Write clear business requirements documents and translate business needs into actionable delivery plans.
- Partner with product, operations, technology, and finance teams to align solutions to strategic goals.
- Build scalable data applications and data products from concept through implementation and adoption.
- Identify opportunities to apply artificial intelligence and machine learning to enhance decision-making and workflows.
- Establish and promote standards and best practices for analytics, documentation, and solution delivery.
- Present findings and recommendations to stakeholders in a clear, structured manner.
- Improve how teams access and use data by enabling self-service, trusted datasets, and transparent definitions.
Required qualifications, capabilities, and skills
- Bachelor's degree.
- At least four years of experience in data analytics, product development, or project management (financial services preferred).
- Hands-on proficiency with at least one modern analytics, visualization, or engineering tool (for example: SQL, Python, Tableau, Power BI, R).
- Demonstrated experience working with large, complex datasets and building data models.
- Proven ability to deliver outcomes independently with strong ownership and follow-through.
- Strong problem-solving skills with a logical, structured approach to planning and decision-making.
- Demonstrated project execution skills, including writing requirements and managing delivery in a fast-paced environment.
- Strong communication skills, including presenting analysis and recommendations to cross-functional stakeholders.
- Experience partnering effectively across business and technology teams.
- Experience designing solutions that improve reporting, decision-making, or operational efficiency.
Preferred qualifications, capabilities, and skills
- Experience supporting finance functions such as financial planning and analysis or finance business management.
- Experience in securities services, transaction processing, or related financial products.
- Experience delivering automation or advanced analytics initiatives that reduce manual effort.
- Experience initiating or delivering artificial intelligence and machine learning use cases.
- Familiarity with building data assets in a data lake environment.
- Relevant certifications in analytics, data, or finance.
ABOUT US
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
ABOUT THE TEAM
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
Join a team that connects data to real outcomes for a global financial institution. You will build scalable data applications, centralize critical datasets, and deliver analytics that help teams make faster, better decisions. If you enjoy solving complex problems end-to-end—from understanding the need to launching a working solution—this role offers a high-visibility opportunity to make an impact. You'll work across finance, product, operations, and technology to modernize how information is accessed and used.
Job summary
As a Data Solutions & Analytics Lead in the Securities Services Finance Data Solutions & Analytics team, you will build and manage data solutions that streamline reporting, enable automation, and improve how teams access and act on information. You will partner with stakeholders to define problems clearly, translate needs into requirements, and deliver production-ready solutions. You will work hands-on with large datasets, create data models, and deliver analytics that support decision-making. You will help establish best practices and contribute to a collaborative, solutions-oriented team culture.
This role blends data analytics, product delivery, and project execution. You will help centralize key datasets in a data lake and develop reusable data assets that reduce fragmentation and manual effort. You'll have the opportunity to initiate artificial intelligence and machine learning use cases where they can improve process efficiency and decision-making. Success in this role comes from strong ownership, clear communication, and the ability to move from ambiguity to delivery.
Job responsibilities
- Design and develop data models that integrate complex datasets and enable analytics at scale.
- Analyze data using tools such as SQL, Python, Tableau, Alteryx, or similar platforms to uncover insights and improve outcomes.
- Automate recurring reporting and manual processes to improve efficiency and reduce operational risk.
- Lead end-to-end project delivery, including requirements gathering, documentation, and stakeholder updates.
- Write clear business requirements documents and translate business needs into actionable delivery plans.
- Partner with product, operations, technology, and finance teams to align solutions to strategic goals.
- Build scalable data applications and data products from concept through implementation and adoption.
- Identify opportunities to apply artificial intelligence and machine learning to enhance decision-making and workflows.
- Establish and promote standards and best practices for analytics, documentation, and solution delivery.
- Present findings and recommendations to stakeholders in a clear, structured manner.
- Improve how teams access and use data by enabling self-service, trusted datasets, and transparent definitions.
Required qualifications, capabilities, and skills
- Bachelor's degree.
- At least four years of experience in data analytics, product development, or project management (financial services preferred).
- Hands-on proficiency with at least one modern analytics, visualization, or engineering tool (for example: SQL, Python, Tableau, Power BI, R).
- Demonstrated experience working with large, complex datasets and building data models.
- Proven ability to deliver outcomes independently with strong ownership and follow-through.
- Strong problem-solving skills with a logical, structured approach to planning and decision-making.
- Demonstrated project execution skills, including writing requirements and managing delivery in a fast-paced environment.
- Strong communication skills, including presenting analysis and recommendations to cross-functional stakeholders.
- Experience partnering effectively across business and technology teams.
- Experience designing solutions that improve reporting, decision-making, or operational efficiency.
Preferred qualifications, capabilities, and skills
- Experience supporting finance functions such as financial planning and analysis or finance business management.
- Experience in securities services, transaction processing, or related financial products.
- Experience delivering automation or advanced analytics initiatives that reduce manual effort.
- Experience initiating or delivering artificial intelligence and machine learning use cases.
- Familiarity with building data assets in a data lake environment.
- Relevant certifications in analytics, data, or finance.
ABOUT US
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
ABOUT THE TEAM
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
See All 12 Analytics Lead Jobs in New Jersey
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Find Analytics Lead JobsAnalytics Lead Jobs by City in New Jersey
Where New Jersey roles are concentrated, by current openings.
Analytics Lead Job Market in New Jersey
A snapshot from current New Jersey openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
What New Jersey Employers Look For
The qualifications that appear most often in analytics lead jobs across New Jersey.
- Bachelor's or master's degree in data science, statistics, business analytics, or a related field
- Three or more years leading analytics projects or managing a team of analysts
- Proficiency in SQL and at least one analytics platform such as Tableau, Power BI, or Looker
- Experience with Python or R for data modeling, statistical analysis, or automation
- Demonstrated ability to translate analytical findings into business recommendations for stakeholders
- Familiarity with cloud data environments such as AWS, Azure, or Google Cloud Platform
Analytics Lead Jobs in New Jersey: Frequently Asked Questions
How do you become a analytics lead in New Jersey?
Analytics leads in New Jersey are not required to hold a state-issued license, so the path runs through education and experience. Most roles require a bachelor's degree in data science, statistics, computer science, or a business-related field, with a master's degree preferred at larger employers. New Jersey's dense pharma and financial services industries favor candidates who build domain expertise in those sectors, then step into team-lead or project-lead roles to demonstrate management ability before pursuing a formal analytics lead title.
How much do analytics leads make in New Jersey?
Analytics leads in New Jersey earn a median of about $135,280 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $80,720 for the lowest 10% to over $203,950 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire analytics leads in New Jersey?
Employers hiring analytics leads in New Jersey right now include JPMorganChase, Colgate-Palmolive, and Fidelity Investments, based on current listings on Migrate Mate as of September 2026. New Jersey's concentration of pharmaceutical headquarters, major insurers, and financial services firms means analytics lead openings are spread across both large corporate campuses and regional business hubs throughout the state.
Which New Jersey cities have the most analytics lead jobs?
The cities with the most analytics lead openings in New Jersey are Jersey City, Piscataway, and Wayne. This distribution reflects the state's major employment corridors: Newark and Jersey City draw financial services and tech firms, while the Princeton and Parsippany areas are home to the pharmaceutical and consumer goods headquarters that consistently need senior analytics talent.
Are there remote analytics lead jobs in New Jersey?
Yes, and more than most fields. Analytics lead work is inherently desk-based and output-driven, which makes it well suited to remote and hybrid arrangements. About 83% of analytics lead openings tied to New Jersey are remote or hybrid as of September 2026, reflecting how widely distributed New Jersey's corporate employers have become. Strategic and reporting-focused parts of the role are most commonly offered remotely, while roles that require close collaboration with on-site data engineering teams tend to require at least partial in-office presence.
How can I get hired as a analytics lead in New Jersey with little or no experience?
The most realistic entry path is moving into an analytics lead role from a senior individual contributor position such as data analyst, business analyst, or marketing analyst at a New Jersey employer. Large pharma companies like Johnson & Johnson and Merck, along with financial institutions like Prudential, run rotational and associate analytics programs that develop analysts toward lead-level responsibilities. Building a portfolio of projects that shows end-to-end analytical ownership, and earning a credential like Google Data Analytics or a graduate certificate from a New Jersey university, strengthens a candidate's case considerably.
Where can I find and apply to analytics lead jobs in New Jersey?
You can find and apply to analytics lead jobs in New Jersey on Migrate Mate, which lists current openings tied to the state. Search the available roles, find the ones that fit your experience and target location, and apply directly to the employers posting them.
See All 12 Analytics Lead Jobs in New Jersey
Find roles in New Jersey that match your experience and apply in just a few clicks.
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