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Business Intelligence Sales Jobs (NOW HIRING)

Everfox

Sales Business Intelligence Analyst

Herndon, VA

$98K - $143K/yr

The Sales Business Intelligence Analyst is responsible for delivering clear, accurate, and actionable reporting that strengthens pipeline visibility, improves forecasting discipline, and supports a ...

Govini

Business Development

Arlington, VA

We are seeking a high-energy sales professional to build market intelligence sales within targeted accounts and territories. This role focuses on serving the business needs of large government ...

NetApp

Business Intelligence Analyst

Morrisville, NC · Remote

Job Summary We are seeking a motivated and results-driven Business Intelligence Analyst to join our ... This role is crucial in supporting the sales team to achieve its goals by developing and managing a ...

Govini

Business Development

Arlington, VA · On-site

We are seeking a high-energy sales professional to build market intelligence sales within targeted accounts and territories. This role focuses on serving the business needs of large government ...

Wolverine

Business Intelligence Engineer

Chicago, IL · On-site

$100K - $125K/yr

Business Intelligence Engineer Department: Technology Employment Type: Full Time Location: Chicago ... Working with sales, traders, engineers, and researchers, you'll establish real performance ...

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All JobsBusiness Intelligence Sales Jobs

Business Intelligence Sales information

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$29.5K

$114.3K

$167.5K

How much do business intelligence sales jobs pay per year?

As of Aug 9, 2026, the average yearly pay for business intelligence sales in the United States is $114,260.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,000.00 and $142,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a business intelligence sales professional?

To thrive as a Business Intelligence Sales professional, you need strong sales acumen, a solid understanding of data analytics concepts, and experience in B2B environments, often supported by a relevant degree. Familiarity with CRM systems like Salesforce, BI tools such as Tableau or Power BI, and sales enablement platforms is typically required. Excellent communication, relationship-building, and consultative selling skills set top performers apart in this field. These skills are crucial for effectively conveying the value of BI solutions, building trust with clients, and closing complex sales in a competitive market.

What are the typical challenges faced by business intelligence sales professionals when working with clients?

Business Intelligence Sales professionals often encounter challenges such as translating complex technical solutions into clear business value for clients, addressing diverse data needs across industries, and managing long sales cycles that require sustained engagement. Navigating client organizations to identify key decision-makers and ensuring alignment between technical and business stakeholders can also be demanding. Success in this role often requires strong communication skills, adaptability, and the ability to build trust with both IT and business teams.

What is the difference between Business Intelligence Sales vs Data Analyst?

AspectBusiness Intelligence SalesData Analyst
Primary FocusSelling BI solutions and services to clientsAnalyzing data to generate insights and reports
Required SkillsSales, communication, understanding of BI toolsData analysis, SQL, visualization skills
Work EnvironmentSales teams, client meetings, presentationsData projects, reporting, data cleaning
CertificationsSales certifications, BI tool knowledgeData analysis certifications, SQL, Excel

Business Intelligence Sales focuses on selling BI solutions to clients, emphasizing sales skills and client engagement. Data Analysts analyze data to provide insights, requiring technical data skills. Both roles may overlap in understanding BI tools but serve different functions within the industry.

What is business intelligence sales?

Business Intelligence (BI) Sales involves selling software and solutions that help organizations collect, analyze, and visualize data to make informed business decisions. Professionals in this role work with clients to understand their data needs and recommend BI tools, such as dashboards or reporting platforms. A Business Intelligence Sales professional must have a solid understanding of both the technical aspects of BI software and the business challenges their clients face. Success in this field requires strong communication skills, technical knowledge, and the ability to build lasting relationships with clients.
More about Business Intelligence Sales jobs
What cities are hiring for Business Intelligence Sales jobs? Cities with the most Business Intelligence Sales job openings:
What job categories do people searching Business Intelligence Sales jobs look for? The top searched job categories for Business Intelligence Sales jobs are:
Business Intelligence Sales jobs near you
Infographic showing various Business Intelligence Sales job openings in the United States as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $114,260 per year, or $54.9 per hour.

Business Intelligence Analyst

Zymo Research Corp

Tustin, CA • On-site

Full-time

Re-posted 16 days ago

Job description

Job Summary:
Zymo Research is seeking a Business Intelligence Analyst to support Commercial Operations with rigorous, decision-oriented analytics. This role is accountable for converting complex commercial, marketing, and external data into structured insights that inform leadership decisions, prioritize initiatives, and improve commercial execution.
Responsibilities:
• Structure ambiguous business questions into clear analytical problem statements, hypotheses, and workplans.
• Design and deliver dashboards, scorecards, and analyses that track commercial performance and surface actionable insights.
• Define, document, and standardize KPIs to ensure consistent measurement across sales, marketing, and commercial operations.
• Analyze trends, drivers, and variances, with a focus on explaining implications, not just reporting results.
• Conduct ad hoc analyses and deep dives to support strategic decisions, performance reviews, and opportunity prioritization.
• Extract, integrate, and transform data from internal systems and external sources using APIs, automated scripts, and web-based tools.
• Support scalable ETL workflows that combine commercial, scientific, and market data into reliable analytical datasets.
• Automate recurring analyses and reporting to improve efficiency, consistency, and scalability.
• Apply disciplined data governance practices to ensure accuracy, transparency, and reproducibility.
• Apply statistical and analytical techniques to support forecasting, segmentation, and performance diagnostics.
• Leverage Python-based workflows for analysis, automation, and reporting.
• Build lightweight tools or applications to support internal analytics use cases where appropriate.
• Contribute to exploratory use of AI-enabled tools, including large language models, to accelerate analysis and insight generation.
• Partner closely with Commercial Operations, Marketing, Sales, and leadership to clarify objectives, pressure-test assumptions, and refine analytical approaches.
• Prepare and deliver executive-ready presentations that synthesize insights, trade-offs, and recommendations.
• Communicate complex analyses clearly to senior leaders, focusing on business impact and decision relevance.
• Act as a thought partner to stakeholders, not just a reporting function.
Qualifications:
Required:
• BS or MS in Data Science, Bioinformatics, Computer Science, Engineering, Business, Economics, or a related quantitative field.
• Strong proficiency in Python, including pandas and NumPy.
• Experience extracting and integrating data via APIs and web-based tools such as Beautiful Soup or Selenium.
• Working knowledge of SQL (Structured Query Language) or structured data querying.
• Demonstrated ability to structure open-ended problems and develop clear, defensible analytical approaches.
• Proven experience presenting analyses and recommendations to senior or executive stakeholders.
• Strong business judgment and ability to connect data to commercial outcomes.
• High attention to detail, intellectual rigor, and comfort operating with imperfect information.
• Interest in commercial strategy, revenue operations, and business intelligence.
Preferred:
• Experience in management consulting, internal strategy, or analytics-heavy advisory roles is strongly preferred.
• Experience in commercial analytics, life sciences, or scientific data environments is a plus.
• Familiarity with web frameworks (e.g., Flask or Django) and containerization tools such as Docker is a plus.
• Exposure to graph-based data models or network-style analysis is beneficial but not required.
Company:
Since its inception in 1994, Zymo Research has been proudly serving the scientific community by providing innovative, reliable, and high quality research tools at affordable prices. Founded in 1994, the company is headquartered in Irvine, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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