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Business Intelligence Developer Jobs in Riverside, CA

PacSun

Manager, Business Intelligence

Anaheim, CA · On-site

Pacsun is seeking an experienced IT Business Intelligence (BI) Manager to lead and evolve the ... Manage a team of BI developers and data engineers (3-5 people) and contract resources. Provide ...

OSI Digital

Tableau Developer

Irvine, CA · On-site

$35 - $60/hr

We are seeking a Senior Business Intelligence Developer with strong hands-on experience in Tableau, SQL, and modern analytics delivery. The ideal candidate will have 4+ years of experience designing ...

New

OSI Digital

Tableau Developer

Irvine, CA · On-site

$35 - $60/hr

We are seeking a Senior Business Intelligence Developer with strong hands-on experience in Tableau, SQL, and modern analytics delivery. The ideal candidate will have 4+ years of experience designing ...

Yum

Sr Business Intelligence Data Analyst I

Irvine, CA · On-site

Bachelor's degree in computer engineering, Statistics, Math, or related field. A master's degree and Power BI certification are a plus. * 8+ years of Industry experience in a business intelligence ...

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$19

$56

$81

How much do business intelligence developer jobs pay per hour?

As of May 30, 2026, the average hourly pay for business intelligence developer in Riverside, CA is $56.12, according to ZipRecruiter salary data. Most workers in this role earn between $45.91 and $64.18 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Business Intelligence Developer, and why are they important?

To thrive as a Business Intelligence Developer, you need strong analytical skills, proficiency in data modeling, and experience with databases, often supported by a degree in computer science, information systems, or a related field. Expertise in BI tools such as Power BI, Tableau, or SQL Server Reporting Services (SSRS), along with knowledge of SQL and ETL processes, is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills set top performers apart in this role. These competencies are crucial for transforming complex data into actionable insights that drive strategic business decisions.

What are some common challenges faced by Business Intelligence Developers when working with large datasets, and how can they be addressed?

Business Intelligence Developers often encounter difficulties when handling large and complex datasets, such as slow query performance, data integration issues, and ensuring data accuracy. To address these challenges, developers typically optimize SQL queries, leverage indexing, and use efficient data modeling techniques. Collaborating closely with data engineers and database administrators can help streamline data pipelines and maintain data quality. Staying updated with the latest BI tools and technologies is also essential for improving overall performance and scalability.

What are Business Intelligence Developers?

Business Intelligence Developers are IT professionals who design, develop, and maintain BI solutions that help organizations make data-driven decisions. They create and manage data models, dashboards, and reports using BI tools, and often work with databases to extract, transform, and load data. Their work enables businesses to analyze trends, monitor performance, and gain actionable insights from large volumes of data. BI Developers collaborate closely with business stakeholders and data analysts to ensure the solutions meet organizational needs.

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

AspectBusiness Intelligence DeveloperData Analyst
CredentialsBachelor's in CS, IT, or related field; certifications like Microsoft Certified: Data Analyst AssociateBachelor's in Statistics, Math, or related field; certifications like Microsoft Certified: Data Analyst Associate
Work EnvironmentDevelops BI tools, dashboards, and reports; collaborates with IT and business teamsAnalyzes data sets, creates reports, and provides insights; works closely with business units
Industry UsageUsed across industries for data visualization and reportingUsed across industries for data analysis and decision support

While both roles focus on data, Business Intelligence Developers primarily build and maintain BI tools and dashboards, whereas Data Analysts focus on analyzing data sets to generate insights. Both roles often collaborate and require similar skills and certifications, making them closely related in the data industry.

More about Business Intelligence Developer jobs
What are the most commonly searched types of Business Intelligence Developer jobs in Riverside, CA? The most popular types of Business Intelligence Developer jobs in Riverside, CA are:
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What job categories do people searching Business Intelligence Developer jobs in Riverside, CA look for? The top searched job categories for Business Intelligence Developer jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Business Intelligence Developer jobs? Cities near Riverside, CA with the most Business Intelligence Developer job openings:
Business Intelligence Developer jobs near you
Infographic showing various Business Intelligence Developer job openings in Riverside, CA as of May 2026, with employment types broken down into 100% Full Time. Highlights an 86% In-person, and 14% Hybrid job distribution, with an average salary of $116,723 per year, or $56.1 per hour.
Business Intelligence Analyst

Business Intelligence Analyst

Zymo Research Corp

Tustin, CA • On-site

Full-time

Posted 10 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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