Senior Business Intelligence Analyst Jobs in New Jersey
Senior Business Intelligence Analyst jobs in New Jersey are in strong demand, concentrated in financial services, pharmaceuticals, and technology, with openings at every level from mid-career through principal. The busiest hiring hubs are Newark, Jersey City, and Princeton, where anchoring employers such as Cognizant, Johnson & Johnson, and Prudential Financial maintain large analytics teams and recruit consistently for senior BI talent. Data visualization, healthcare analytics, and cloud-based reporting are the most sought-after specialties across active New Jersey postings. Find a role that fits below and apply directly.
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Showing 4 of 26+ Senior Business Intelligence Analyst 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 26 Senior Business Intelligence Analyst Jobs in New Jersey
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Find JobsSenior Business Intelligence Analyst Jobs by City in New Jersey
Where New Jersey roles are concentrated, by current openings.
Senior Business Intelligence Analyst 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 senior business intelligence analyst jobs across New Jersey.
- Bachelor's degree in computer science, information systems, or a closely related analytical field
- Five or more years of experience with BI platforms such as Tableau, Power BI, or MicroStrategy
- Demonstrated expertise in SQL and experience writing complex queries against large enterprise databases
- Experience translating business requirements into dashboards and actionable data models for stakeholders
- Familiarity with cloud data warehousing environments including Snowflake, Redshift, or Azure Synapse
- Strong communication skills for presenting BI findings to non-technical business leaders and executives
Senior Business Intelligence Analyst Jobs in New Jersey: Frequently Asked Questions
How do you become a senior business intelligence analyst in New Jersey?
Most senior business intelligence analyst roles in New Jersey require a bachelor's degree in a quantitative or technology field, followed by several years of progressive BI experience. New Jersey does not have a state-specific license for this role, so employers focus on demonstrated proficiency with enterprise BI tools, data modeling, and stakeholder reporting. Industry certifications from Microsoft, Tableau, or Google can sharpen a candidacy, particularly at financial services and pharmaceutical firms common in the state.
How much do senior business intelligence analysts make in New Jersey?
Senior business intelligence analysts 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 senior business intelligence analysts in New Jersey?
Employers hiring senior business intelligence analysts 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, insurance carriers, and financial services firms creates a consistent pipeline of senior BI openings across the state year-round.
Which New Jersey cities have the most senior business intelligence analyst jobs?
Secaucus, Jersey City, and Florham Park lead New Jersey for senior business intelligence analyst openings. Newark and Jersey City draw volume from financial services and technology firms anchored in the New York metro corridor, while Princeton's concentration of pharmaceutical and biotech headquarters generates consistent demand for healthcare and clinical BI expertise in the central part of the state.
Are there remote senior business intelligence analyst jobs in New Jersey?
Yes, and more than most fields. About 85% of senior business intelligence analyst openings tied to New Jersey are remote or hybrid as of October 2026, reflecting how well analytical and reporting work translates to distributed environments. Dashboard development, data modeling, and stakeholder reporting are the functions most frequently performed fully remotely in New Jersey-based roles.
How can I get hired as a senior business intelligence analyst in New Jersey with little or no experience?
The most realistic entry path is moving into a junior BI analyst or data analyst role at a New Jersey employer and building platform experience before targeting senior titles. Large New Jersey-based firms in pharma and financial services, including those headquartered in Princeton and the Route 1 corridor, regularly bring in associate-level analysts from adjacent roles in reporting, data quality, or IT. Building a portfolio of Tableau or Power BI dashboards and earning a recognized BI certification can accelerate promotion to the senior level.
Where can I find and apply to senior business intelligence analyst jobs in New Jersey?
You can find and apply to senior business intelligence analyst jobs in New Jersey on Migrate Mate, which lists current openings from employers actively hiring in the state. Search the available roles, find the ones that fit your experience and location, and apply directly to each position without creating an account or signing up.
See All 26 Senior Business Intelligence Analyst Jobs in New Jersey
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