Business Intelligence Manager Jobs in New Jersey
Business Intelligence Manager jobs in New Jersey are in strong demand, with consistent hiring across the state's pharmaceutical, financial services, and logistics sectors at levels from analyst-track managers through senior enterprise roles. The busiest hiring corridors are Newark, Princeton, and Parsippany, where anchor employers like Johnson & Johnson, Cognizant, and Prudential Financial maintain substantial analytics and data operations. The most sought-after specialties in New Jersey listings are healthcare data governance, financial reporting automation, and supply chain analytics. Find a role that fits below and apply directly.
Find JobsOverview
Showing 4 of 24+ Business Intelligence Manager 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 24 Business Intelligence Manager Jobs in New Jersey
Find roles in New Jersey that match your experience and apply in just a few clicks.
Find JobsBusiness Intelligence Manager Jobs by City in New Jersey
Where New Jersey roles are concentrated, by current openings.
Business Intelligence Manager 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 manager jobs across New Jersey.
- Bachelor's degree in business analytics, computer science, information systems, or a related field
- Five or more years of experience in business intelligence, data analysis, or related roles
- Proficiency with BI tools such as Tableau, Power BI, or MicroStrategy
- Experience writing complex SQL queries and working with large relational databases
- Demonstrated ability to lead cross-functional teams and manage BI project delivery
- Strong communication skills for presenting data-driven insights to executive stakeholders
Business Intelligence Manager Jobs in New Jersey: Frequently Asked Questions
How do you become a business intelligence manager in New Jersey?
Business intelligence manager is not a state-licensed role in New Jersey, so the path runs through education and demonstrated experience rather than a state board exam. Most hiring managers in New Jersey expect a bachelor's degree in analytics, information systems, or a related field, paired with several years of hands-on BI work. Earning vendor certifications in Tableau, Microsoft Power BI, or AWS can sharpen a candidacy, and New Jersey's concentration of pharma and financial employers means domain familiarity in those sectors carries real weight.
How much do business intelligence managers make in New Jersey?
Business intelligence managers 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 managers in New Jersey?
Employers hiring business intelligence managers 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 dense corridor of pharmaceutical headquarters, financial services firms, and logistics companies means BI roles here often blend compliance reporting with commercial analytics.
Which New Jersey cities have the most business intelligence manager jobs?
Secaucus, Jersey City, and Florham Park account for the most business intelligence manager openings in New Jersey. Newark drives volume through its financial services and insurance concentration, Princeton attracts roles tied to pharmaceutical and research campuses nearby, and Parsippany draws openings from the large corporate headquarters clustered in Morris County, including professional services and consumer goods companies with substantial analytics teams.
Are there remote business intelligence manager jobs in New Jersey?
Yes, and more than most fields, because business intelligence work is inherently desk-based and deliverable-driven. About 85% of business intelligence manager openings tied to New Jersey are remote or hybrid as of October 2026, reflecting how well the role translates to distributed teams. The parts of the job most likely to stay remote are dashboard development, reporting automation, and self-service analytics buildouts, while stakeholder alignment sessions and data governance reviews more often require an on-site or hybrid presence.
How can I get hired as a business intelligence manager in New Jersey with little or no experience?
The most realistic entry path is moving into a BI manager role from a senior analyst or data analyst position within the same organization. New Jersey's pharmaceutical employers, including companies headquartered along the Route 1 corridor, and its financial services firms in Newark and Jersey City frequently promote from within their analytics teams. Building a portfolio of Power BI or Tableau dashboards, completing a relevant certification, and targeting associate BI manager or team lead postings at mid-size New Jersey companies are the concrete steps that open the door without a lengthy management history.
Where can I find and apply to business intelligence manager jobs in New Jersey?
You can find and apply to business intelligence manager jobs in New Jersey on Migrate Mate, which lists current openings across the state. Search the available roles, find the ones that match your background and target location, and apply directly to the employers posting them.
See All 24 Business Intelligence Manager Jobs in New Jersey
Find roles in New Jersey that match your experience and apply in just a few clicks.
Find Jobs