Business Intelligence Lead Jobs in New Jersey
Business Intelligence Lead jobs in New Jersey are in steady demand, concentrated in pharmaceuticals, financial services, logistics, and healthcare technology, with openings at every level from emerging analyst-to-lead transitions through seasoned principal-level strategists. The heaviest hiring activity clusters around Newark, Princeton, and Jersey City, where established employers such as Johnson and Johnson, Prudential Financial, and Cognizant maintain significant technology and analytics operations in the state. The most sought-after specialties include cloud data platform management, self-service analytics enablement, and enterprise reporting governance. Find a role that fits below and apply directly.
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Showing 4 of 25+ Business Intelligence Lead jobs
The Staff Associate, Advisory (Data Analytics; Business Intelligence & Technology) is an excellent opportunity for an early-career professional who wants to build experience at the intersection of accounting, finance, data, and technology. The role supports client engagements that transform complex data into accurate, actionable insights through data preparation, analysis, visualization, and reporting. You will work across multiple projects, collaborate directly with clients and internal teams, and develop a practical understanding of how data supports financial and operational decision-making. The position also offers hands-on exposure to modern analytics platforms, generative AI tools, and the AI-enabled workflows being developed by our WissLabs innovation team.
Data Analytics Responsibilities
- Collect, clean, transform, and organize financial and operational data from accounting systems, spreadsheets, databases, and other client sources.
- Perform data validation, reconciliations, and quality-control procedures to identify incomplete, inconsistent, duplicate, or inaccurate records.
- Analyze large and complex datasets to identify trends, anomalies, business drivers, and opportunities for process improvement.
- Develop and maintain dashboards, reports, data models, and visualizations using tools such as Microsoft Power BI, Tableau, Excel, or similar platforms.
- Write and refine queries using SQL and other data tools to extract, combine, and analyze information from multiple sources.
- Support data integration and automation activities, including repeatable data-preparation workflows and connections between source systems and reporting tools.
- Collaborate with clients and engagement teams to gather business requirements, define key performance indicators, and translate questions into analytical solutions.
- Prepare clear summaries and presentations that communicate analytical findings, assumptions, limitations, and recommended actions to technical and nontechnical audiences.
- Document data sources, calculation logic, data definitions, analytical procedures, and reporting processes to support consistency and knowledge transfer.
- Apply generative AI and LLM tools, including Claude, ChatGPT, Copilot, and similar solutions, to accelerate data preparation, analysis, documentation, and report generation while validating outputs for accuracy.
- Partner with the WissLabs innovation team on experiments involving AI-assisted analytics, natural-language querying, automated variance analysis, and finance-focused data workflows.
- Research and evaluate emerging analytics, AI, and finance technology tools for potential client applications.
- Participate in quality assurance procedures and ensure analyses and deliverables are accurate, complete, reproducible, and aligned with client expectations.
- Client-facing responsibilities:
- Participate in and, as experience grows, lead client meetings to gather requirements, present findings, and explain analytical solutions.
- Support the preparation of Statements of Work (SOW), project plans, and scoping estimates for data analytics engagements.
- Manage assigned tasks across multiple projects, communicate status and risks, and consistently meet deadlines.
Qualifications:
- Bachelor's degree in Data Analytics, Business Analytics, Information Systems, Computer Science, Accounting, Finance, Economics, Statistics, or a related field (required).
- Strong analytical, quantitative, and problem-solving skills, with close attention to data accuracy, completeness, and detail.
- Coursework, internships, or project experience using Microsoft Excel and at least one data visualization tool, such as Microsoft Power BI or Tableau.
- Familiarity with SQL, relational data concepts, data modeling, or a programming language used for analysis, such as Python or R, is preferred.
- Ability to interpret business and financial information and communicate findings clearly through written summaries, presentations, dashboards, and client discussions.
- Excellent communication, collaboration, organization, and time-management skills, including the ability to manage multiple priorities in a fast-paced, client-service environment.
- Familiarity with generative AI tools such as ChatGPT, Claude, or Copilot, along with a genuine interest in applying LLMs responsibly to finance and analytics work. Hands-on coursework, projects, or prior experimentation are welcome.
- Wiss isn't just a place to work, it's a place to grow. We believe in empowering our people, celebrating individuality, and cultivating a culture that balances innovation, collaboration, and care. If you're passionate about people, growth, and making a lasting impact, we'd love to meet you.
- Work alongside WissLabs, our internal AI innovation team, on projects reshaping how mid-market finance teams use data. You will gain real exposure to modern analytics platforms, AI-enabled tooling, and advisory delivery.
The Staff Associate, Advisory (Data Analytics; Business Intelligence & Technology) is an excellent opportunity for an early-career professional who wants to build experience at the intersection of accounting, finance, data, and technology. The role supports client engagements that transform complex data into accurate, actionable insights through data preparation, analysis, visualization, and reporting. You will work across multiple projects, collaborate directly with clients and internal teams, and develop a practical understanding of how data supports financial and operational decision-making. The position also offers hands-on exposure to modern analytics platforms, generative AI tools, and the AI-enabled workflows being developed by our WissLabs innovation team.
Data Analytics Responsibilities
- Collect, clean, transform, and organize financial and operational data from accounting systems, spreadsheets, databases, and other client sources.
- Perform data validation, reconciliations, and quality-control procedures to identify incomplete, inconsistent, duplicate, or inaccurate records.
- Analyze large and complex datasets to identify trends, anomalies, business drivers, and opportunities for process improvement.
- Develop and maintain dashboards, reports, data models, and visualizations using tools such as Microsoft Power BI, Tableau, Excel, or similar platforms.
- Write and refine queries using SQL and other data tools to extract, combine, and analyze information from multiple sources.
- Support data integration and automation activities, including repeatable data-preparation workflows and connections between source systems and reporting tools.
- Collaborate with clients and engagement teams to gather business requirements, define key performance indicators, and translate questions into analytical solutions.
- Prepare clear summaries and presentations that communicate analytical findings, assumptions, limitations, and recommended actions to technical and nontechnical audiences.
- Document data sources, calculation logic, data definitions, analytical procedures, and reporting processes to support consistency and knowledge transfer.
- Apply generative AI and LLM tools, including Claude, ChatGPT, Copilot, and similar solutions, to accelerate data preparation, analysis, documentation, and report generation while validating outputs for accuracy.
- Partner with the WissLabs innovation team on experiments involving AI-assisted analytics, natural-language querying, automated variance analysis, and finance-focused data workflows.
- Research and evaluate emerging analytics, AI, and finance technology tools for potential client applications.
- Participate in quality assurance procedures and ensure analyses and deliverables are accurate, complete, reproducible, and aligned with client expectations.
- Client-facing responsibilities:
- Participate in and, as experience grows, lead client meetings to gather requirements, present findings, and explain analytical solutions.
- Support the preparation of Statements of Work (SOW), project plans, and scoping estimates for data analytics engagements.
- Manage assigned tasks across multiple projects, communicate status and risks, and consistently meet deadlines.
Qualifications:
- Bachelor's degree in Data Analytics, Business Analytics, Information Systems, Computer Science, Accounting, Finance, Economics, Statistics, or a related field (required).
- Strong analytical, quantitative, and problem-solving skills, with close attention to data accuracy, completeness, and detail.
- Coursework, internships, or project experience using Microsoft Excel and at least one data visualization tool, such as Microsoft Power BI or Tableau.
- Familiarity with SQL, relational data concepts, data modeling, or a programming language used for analysis, such as Python or R, is preferred.
- Ability to interpret business and financial information and communicate findings clearly through written summaries, presentations, dashboards, and client discussions.
- Excellent communication, collaboration, organization, and time-management skills, including the ability to manage multiple priorities in a fast-paced, client-service environment.
- Familiarity with generative AI tools such as ChatGPT, Claude, or Copilot, along with a genuine interest in applying LLMs responsibly to finance and analytics work. Hands-on coursework, projects, or prior experimentation are welcome.
- Wiss isn't just a place to work, it's a place to grow. We believe in empowering our people, celebrating individuality, and cultivating a culture that balances innovation, collaboration, and care. If you're passionate about people, growth, and making a lasting impact, we'd love to meet you.
- Work alongside WissLabs, our internal AI innovation team, on projects reshaping how mid-market finance teams use data. You will gain real exposure to modern analytics platforms, AI-enabled tooling, and advisory delivery.
See All 25 Business Intelligence Lead Jobs in New Jersey
Find roles in New Jersey that match your experience and apply in just a few clicks.
Find JobsBusiness Intelligence Lead Jobs by City in New Jersey
Where New Jersey roles are concentrated, by current openings.
Business Intelligence Lead Job Market in New Jersey
A snapshot from current New Jersey openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Education
- Technology & Software
- Distribution & Wholesale
- Transportation & Logistics
What New Jersey Employers Look For
The qualifications that appear most often in business intelligence lead jobs across New Jersey.
- Bachelor's or master's degree in data science, computer science, information systems, or a related field
- Five or more years of experience in business intelligence, data analytics, or a closely related discipline
- Proficiency in BI tools such as Tableau, Power BI, or Looker with demonstrated enterprise deployment experience
- Strong SQL skills and experience working with large-scale relational or cloud-based data warehouses
- Proven ability to lead cross-functional analytics projects and manage or mentor junior BI analysts
- Experience translating complex data findings into clear recommendations for non-technical business stakeholders
Business Intelligence Lead Jobs in New Jersey: Frequently Asked Questions
How do you become a business intelligence lead in New Jersey?
The most direct path in New Jersey is a bachelor's degree in information systems, computer science, or data science followed by several years of analyst experience in a New Jersey industry such as pharmaceuticals, finance, or logistics. There is no state-issued license for this role, so advancement depends on building technical depth in BI platforms, earning vendor credentials like Microsoft or Tableau certifications, and demonstrating project leadership within a team before stepping into a lead position.
How much do business intelligence leads make in New Jersey?
Business intelligence 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 business intelligence leads in New Jersey?
Employers hiring business intelligence leads in New Jersey right now include ZT Systems, Wiz International, and Selective Insurance, based on current listings on Migrate Mate as of October 2026. New Jersey's concentration of pharmaceutical headquarters and financial services firms means large enterprise environments with dedicated BI teams are among the most consistent sources of openings in the state.
Which New Jersey cities have the most business intelligence lead jobs?
Edison, Secaucus, and Jersey City have the highest concentration of business intelligence lead openings in New Jersey. Newark and Jersey City draw demand from financial services and technology firms with proximity to New York City operations, while Princeton attracts analytics talent through its dense cluster of pharmaceutical and life sciences headquarters that maintain large internal data teams.
Are there remote business intelligence lead jobs in New Jersey?
Yes, and more than most fields. Business intelligence lead work is largely analytical and platform-based, which makes it well suited to remote and hybrid arrangements. About 85% of business intelligence lead openings tied to New Jersey are remote or hybrid as of October 2026, reflecting how broadly distributed the role's core responsibilities have become. Reporting development, dashboard maintenance, and stakeholder presentations are the functions most commonly performed fully off-site.
How can I get hired as a business intelligence lead in New Jersey with little or no experience?
The most realistic entry point is a junior or associate BI analyst role at a New Jersey pharmaceutical, financial services, or healthcare technology employer, where internal promotion into a lead position is common. Large New Jersey employers such as Johnson and Johnson and Prudential Financial run rotational data and analytics programs that accept recent graduates. Building a portfolio of SQL queries, a published Tableau or Power BI dashboard, and earning a vendor credential such as Microsoft's Power BI Data Analyst certification signals readiness even without years of experience.
Where can I find and apply to business intelligence lead jobs in New Jersey?
You can find and apply to business intelligence lead jobs in New Jersey on Migrate Mate, which lists current openings from employers actively hiring in the state. Search the available roles, identify the positions that match your background and target location, and apply directly to the ones that fit.
See All 25 Business Intelligence Lead Jobs in New Jersey
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