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Business Intelligence Researcher Jobs (NOW HIRING)

Jump Trading

Business Intelligence Researcher

New York, NY · On-site

$175K - $200K/yr

As a Business Intelligence Researcher in New York, you will have the hands-on opportunity to work with all areas of the organization while gaining a keen understanding of the use of data across the ...

Team-Housing-Solutions,-Inc.-2

$80 - $100/hr

About the RoleThe Research Analyst supports business development growth initiatives by delivering actionable market intelligence, identifying emerging opportunities, and providing research-driven ...

Zymo Research

Business Intelligence Engineer

Tustin, CA · On-site

$80 - $100/hr

Zymo Research is seeking a Business Intelligence Engineer to contribute to data pipelines and frameworks that support Commercial Operations with rigorous, decision-oriented analytics. This role is ...

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How much do business intelligence researcher jobs pay per year?

As of Sep 9, 2026, the average yearly pay for business intelligence researcher in the United States is $147,146.00, according to ZipRecruiter salary data. Most workers in this role earn between $140,500.00 and $157,000.00 per year, depending on experience, location, and employer.

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Business Intelligence Researchers often earn competitive salaries that vary based on experience, location, and industry. Professionals with skills in data analysis, SQL, and visualization tools like Tableau or Power BI tend to have higher earning potential, especially with advanced certifications or experience in high-demand sectors.

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Business intelligence researchers are in high demand due to the increasing reliance on data-driven decision making across industries. They utilize tools like SQL, data visualization, and analytics platforms, and strong skills in data analysis and reporting are essential for success in this role.

What is business intelligence research?

Business intelligence research involves analyzing data to identify trends, patterns, and insights that support strategic decision-making within organizations. It typically requires skills in data analysis, data visualization, and familiarity with tools like SQL, Tableau, or Power BI. Researchers in this field help companies improve performance by turning complex data into actionable information.

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Business Intelligence Researcher

New York, NY • On-site

Jump Trading
Finance and Insurance • 501 - 1,000 employees
Learn more about Jump Tradingexternal

Full-time

Re-posted 16 days ago

Job description

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

Jump Trading's Business Intelligence team is focused on empowering the firm with analysis and insight that maximizes revenue and influences high-stakes global decision making. This team develops data pipelines, supports an enterprise BI analytics platform, and provides research across many areas of the organization. At Jump, solving hard problems with cutting edge technology is our business. Jump relies heavily on open-source solutions in our large and distributed global infrastructure that includes several large high-performance computing environments, a large low latency trading infrastructure, and significant supporting infrastructure.

As a Business Intelligence Researcher in New York, you will have the hands-on opportunity to work with all areas of the organization while gaining a keen understanding of the use of data across the firm.

We're looking for talented data scientists and researchers who are relentlessly curious and have a gift for connecting the dots across data sources, systems, teams, and ideas. Top talent shows up in more than one shape -- you might thrive by embedding deeply within a specific area to become its go-to expert, or as a well-rounded generalist who opportunistically dives into high-impact problems across the business. We value both paths and will help you find the one that fits your strengths.

What You'll Do:

  • Lead and contribute to efforts that surface meaningful business intelligence insights
  • Partner with Developers, Researchers, and Data Analysts to solve challenging problems, whether by going deep in a single domain or spanning many
  • Follow threads of information across teams and systems, connecting disparate inputs into coherent insights and actionable recommendations
  • Work with technology teams on process design, workflow, data management, etc.
  • Liaise with research and trading teams on topics including post-trade statistical analysis of trading performance
  • Broadcast key insights globally to connect the company across regions
  • Produce research that educates and influences exchange decision making on market structure, product availability, and more
  • Other duties as assigned or needed

Skills You'll Need:

  • Relentless curiosity, an instinct to ask thoughtful questions, dig beneath the surface, and keep learning
  • Strong analytical skills, with the ability to link details across different data sources, processes, and departments to broader business impact
  • Deep interest in and passion for trading and global markets
  • Ability to communicate clearly across technical and non-technical audiences, translating in both directions
  • Self-starter, scrappy, and creative, with good instincts and a nose for making money
  • Comfort navigating ambiguity and shifting priorities
  • Ability to quickly learn business concepts, internalize priorities, and network effectively with peers
  • Engineering experience working with programming languages for automation tasks (Python, etc.)
  • Practical understanding of database concepts and ETL pipelining
  • Experience with data analysis, SQL, Linux
  • Reliable and predictable availability

Apply