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Business Intelligence Professional Jobs in Riverside, CA

VSolvit

BUSINESS DATA ANALYST 1

Norco, CA · On-site

$33.17 - $42.31/hr

This position is well suited for a recent graduate or early-career professional seeking to develop ... intelligence (BI) systems, data warehousing, engineering services, and custom database and ...

Allied Universal

Client Manager

Riverside, CA

$79K/yr

Utilize Allied Universal's AI technology, online reporting tools, and Business Intelligence ... High School diploma with a minimum of five (5) years of professional level experience managing ...

New

Allied Universal

Client Manager

Riverside, CA · On-site

$79K/yr

Utilize Allied Universal's AI technology, online reporting tools, and Business Intelligence ... High School diploma with a minimum of five (5) years of professional level experience managing ...

New

Allied Universal

Client Manager

Riverside, CA · On-site

$79K/yr

Utilize Allied Universal's AI technology, online reporting tools, and Business Intelligence ... High School diploma with a minimum of five (5) years of professional level experience managing ...

New

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All JobsBusiness Intelligence Professional JobsBusiness Intelligence Professional Jobs in Riverside, CA

Business Intelligence Professional information

See Riverside, CA salary details

$30.8K

$119.2K

$174.7K

How much do business intelligence professional jobs pay per year?

As of Aug 7, 2026, the average yearly pay for business intelligence professional in Riverside, CA is $119,204.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,100.00 and $148,700.00 per year, depending on experience, location, and employer.

What are some common challenges faced by business intelligence professionals when working with cross-functional teams?

Business Intelligence Professionals often collaborate with stakeholders from various departments such as marketing, finance, and operations. A common challenge is translating complex data insights into actionable recommendations that are easily understood by non-technical team members. Additionally, BI professionals must ensure data consistency and accuracy while managing differing priorities and timelines across teams. Effective communication and a proactive approach to understanding each department’s needs are key to overcoming these challenges and delivering value through data-driven solutions.

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

AspectBusiness Intelligence ProfessionalData Analyst
CredentialsOften requires BI certifications, SQL, and data visualization skillsTypically needs statistical, analytical, and SQL skills, with certifications like CAP or Microsoft certifications
Work EnvironmentWorks with BI tools, dashboards, and data warehouses in corporate settingsAnalyzes data sets, creates reports, and visualizations, often in finance, marketing, or operations
Industry UsageCommonly employed in business intelligence teams across industriesWidely used in various sectors for data-driven decision making

Business Intelligence Professionals focus on designing and managing BI systems, dashboards, and data warehouses, while Data Analysts primarily analyze data sets and generate reports. Both roles require strong analytical skills and familiarity with SQL and data visualization tools, but their core responsibilities differ in scope and focus.

What are the key skills and qualifications needed to thrive as a business intelligence professional, and why are they important?

To thrive as a Business Intelligence Professional, you need strong analytical abilities, data modeling expertise, and proficiency in databases—often supported by a degree in computer science, information systems, or a related field. Familiarity with BI tools like Tableau, Power BI, SQL, and sometimes certifications such as Microsoft Certified: Data Analyst Associate are commonly required. Attention to detail, problem-solving skills, and effective communication are crucial soft skills for translating complex data into actionable insights for stakeholders. These competencies enable informed decision-making and drive business growth by turning raw data into strategic information.

What is a business intelligence professional?

A Business Intelligence (BI) Professional is a specialist who uses data analysis tools and techniques to help organizations make informed business decisions. They collect, process, and analyze large volumes of data to generate actionable insights, often using dashboards and reports. BI professionals work closely with stakeholders to identify business needs, design data-driven solutions, and improve operational efficiency. Their expertise is crucial in transforming raw data into meaningful information that can drive strategic planning and competitive advantage.
What are the most commonly searched types of Business Intelligence jobs in Riverside, CA? The most popular types of Business Intelligence jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Business Intelligence Professional jobs? Cities near Riverside, CA with the most Business Intelligence Professional job openings:
Business Intelligence Professional jobs near you

Principal Data Engineer - (Hadoop/Big Data, AWS, Python, Kinesis) - Irvine, CA - Onsite - Contract t

Central Business Solutions

Irvine, CA • On-site

Contractor

Posted 3 days ago

New

Job description

Position: Senior Data Engineer - (Hadoop/Big Data, AWS, Python, Kinesis)
Location: Irvine, CA - Onsite role
Position Type: Contract to Hire
Responsibilities
You will be responsible for all aspects of data acquisition, data transformation, analytics scheduling and operationalization to drive high-visibility, cross-division outcomes. Investigate, evaluate, test and recommend technical solutions for future systems.
They will support software developers, database architects, data scientists on data initiatives and will contribute optimal data delivery architecture.
What you will be doing:
Data Operations
Lead the creation of data environments and/or data sets to serve a wide range of data users, including but not limited to Data Scientists, Data Analysts, Business Analysts etc.
Perform offline analysis of large data sets using components of a big data software ecosystem.
Validate the solution of root cause analysis escalated by various technical staff in multiple organizations and with differing levels of expertise.
Investigate, evaluate, test and recommend technical solutions for future systems.
Data Management
Own product data sets from the definition phase through to production deployment (end-to-end).
Provide solutions for the design and implementation of Hadoop EMR Cluster/ Big Data Infrastructure.
Deploy Hadoop/Big Data/Spark and database storage Infrastructures in AWS cloud.
Monitor HDFS/Hadoop/Spark and related software releases, third-party utilities with emphasis on overall system performance.
Lead and develop tools and procedures to monitor and automate system tasks on servers and clusters
Lead and collaborate with other teams to design, develop, and deploy data tools that support both operations and product use cases.
Data Design
Lead and design distributed, scalable, and reliable data pipelines that ingest and process data at scale and in real-time.
Lead and design big data technologies and prototype solutions to improve data processing architecture.
Qualifications
What we are looking for:
Bachelor's degree in computer science, computer engineering, or a related technical field.
12+ years of professional experience as a data software engineer; or 16+ years of related experience as a data software engineer in lieu of 4-year degree.
2+ years of experience with AWS cloud or other cloud Big Data computing design, provisioning, and tuning.
Related AWS certification, preferred.
Previous experience as a Data Engineer / Database Administrator and/or Business Intelligence Analyst.
Expertise in database concepts, object and data modeling techniques and design principles.
Expertise in database architectures, software, and facilities
Expertise with programming languages - Python (required), Scala, Ruby, R Database technologies - SQL, performance tuning concepts, AWS RDS, RedShift, MySQL
Expertise with big data batch processing tools: Hadoop MapReduce, ElasticSearch, PIG, Hive, Cascading/Scalding, Apache Spark, AWS EMR
Expertise with stream-processing systems: Kinesis, Kafka, MQTT
Expertise with relational NoSQL databases including DyanamoDB
Expertise in writing JSON, XML, YAML and other data definition schemas
Excellent verbal and written communication skills necessary to effectively collaborate in a team environment and present and explain technical information and provide advice to management.
Ability to work on advanced complex technical projects or business issues requiring state of the art technical knowledge or industry.
Ability to work on significant and unique issues where analysis of situations or data requires an evaluation of intangibles.
Exercises independent judgment in methods, techniques and evaluation criteria for obtaining results.
Ability to lead and mentor junior engineers and colleagues.

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