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Data Analyst Higher Education Jobs in Riverside, CA

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Data Analytics Analyst

Riverside, CA · On-site

$45K - $103K/yr

Education and/or Experience Bachelor's degree in data science, Business Analytics, Supply Chain, Finance, Information Systems, or related field. Three to Five years of progressively responsible ...

New

Conducts analysis/audit/review of warranty data/costs and provides detailed reporting for product ... Education and Experience: High school diploma or general education degree (GED) is mandatory; a ...

Prepare daily, weekly, and monthly reports by compiling relevant order and inventory data to ... Complete Higher Education, desirable * Experience required: 2-3 years in the same role using ...

Showing results 21-40

Data Analyst Higher Education information

See Riverside, CA salary details

$35.5K

$86.2K

$141.9K

How much do data analyst higher education jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data analyst higher education in Riverside, CA is $86,216.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,200.00 and $101,200.00 per year, depending on experience, location, and employer.

What does a data analyst in higher education do?

A Data Analyst in Higher Education collects, analyzes, and interprets data related to universities or colleges, such as student enrollment, retention, graduation rates, and institutional performance. They help administrators and faculty make data-driven decisions to improve academic programs, student services, and operational efficiency. Their work often involves creating reports, dashboards, and visualizations to communicate insights to stakeholders. Additionally, they may assist with accreditation processes, research projects, and policy development.

What are some common challenges data analysts face when working in higher education institutions?

Data Analysts in higher education often encounter challenges such as integrating data from disparate campus systems, ensuring data accuracy, and maintaining student privacy in compliance with regulations like FERPA. They may also need to communicate technical findings to non-technical stakeholders, such as faculty or administrative staff, in a clear and actionable way. Additionally, balancing multiple projects and responding to diverse data requests from various departments can require strong organizational and prioritization skills.

What are the key skills and qualifications needed to thrive as a data analyst in higher education?

To thrive as a Data Analyst in Higher Education, you need strong analytical abilities, expertise in statistics, and a relevant degree in fields like mathematics, statistics, or data science. Proficiency with data analysis tools such as SQL, Excel, SPSS, R, or Python, and familiarity with institutional research systems are typically required. Effective communication, problem-solving, and attention to detail are crucial soft skills for translating complex data into actionable insights for diverse stakeholders. These skills and qualities are essential for supporting data-driven decision-making and improving institutional effectiveness in higher education settings.
What are popular job titles related to Data Analyst Higher Education jobs in Riverside, CA? For Data Analyst Higher Education jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Data Analyst Higher Education jobs in Riverside, CA look for? The top searched job categories for Data Analyst Higher Education jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Data Analyst Higher Education jobs? Cities near Riverside, CA with the most Data Analyst Higher Education job openings:

Korean Bilingual Data Analyst AO7177536

Btisolutions

Santa Ana, CA

Full-time

Re-posted 3 hours ago


Job description

Korean Bilingual Data Analyst AO7177536

Top Skills: Python, Data Modeling, Tableau
Korean/Bilingual
Top 4 things to focus on:
1. Experience in logistics, distribution center, warehouse, and/or supply chain environments
2. High proficiency in MS Excel, SQL, Access, PowerPoint, and BI Tools
3. Proficiency in SAP and WMS (Warehouse Management Systems)
4. Report automation & design
Job Description:
The Sr. Data & Reporting Analyst is responsible for all points of data mining, extraction, manipulation, analysis, and reporting. Accountable for developing and reporting daily, weekly and monthly analysis of key performance indicators related to warehouse operational metrics. This position requires an extremely detailed, timely, consistent and accurate approach to reporting. Having strong written and verbal communication skills are critical to succeed in this position as senior management and headquarters team will be the targeted audiences for the reports and analysis performed by this position. Reporting can also be used to set the priorities throughout the operations, ensuring that key issues are addressed. Daily/weekly briefings and communications are needed to ensure consistent information is shared throughout the operations. This position is a task-oriented role, requiring very good organizational skills and follow through. The position requires interaction with a broad number of employees to validate data and collaborate on discrepancies found. This position is a key role in the critical analysis of costs associated with the logistics warehouse and transportation operations & cost. This position is also responsible for supporting improvement opportunities throughout the organization, for monitoring discrepancies and escalating to appropriate parties.
In order to meet daily responsibilities, the candidate must be proficient with SAP, MS Excel, SQL, PowerPoint; and, must have experience developing dashboards using BI Tools.
Required Knowledge, Education and Experience:
Minimum 3 years of experience in reports and data analysis within logistics, distribution center, warehouse, and/or supply chain environments
Experience in cost analysis, and reporting of key performance indicators
High proficiency in MS Excel (40%), SQL (35%), Access, BI Tools, and PowerPoint (25%) is required
Experience in a logistics, warehouse, and/or supply chain (operations) environment is required
Experience with SAP is required
Bachelor's Degree in Business Analytics, Engineering, Mathematics, Accounting, or related field
Results driven and ability to handle multiple projects
Necessary Skills / Attributes:
Excellent analytical, decision-making, and problem solving skills
Strong data mining skills and experience extracting & manipulating data from multiple sources
Critical thinking skills - analysis, interpretation, inference, explanation, self-regulation, open-mindedness, and problem-solving
Strong math, communication, and organizational skills
Excellent attention to detail
Must be comfortable working in a multi-cultural business environment
Strong verbal and written communications skills
Ability to employ effective time management skills
Independently follow and execute work assignments
Must be able to work without supervision; self-starter
Ability to interact with all levels of management including executives
Performs work under time schedules and stresses which are normally periodic or cyclical, including time sensitive job stress, intellectual challenge, constant technical data feedback, and language barriers.
Duties & responsibilities will include but are not limited to:
Data & business analysis
Data mining & extraction from multiple sources to build reports
Daily, weekly, monthly report generation
Report automation & design
Maintaining existing dashboards; weekly & monthly analysis and reporting
Help drive critical business decisions by in depth analysis; provide recommendations based on findings
Develop models that help with decision-making
Identify opportunities for performance improvement
Publish standard and complex ad-hoc reports with varying detail for different audiences
Performance Standards
Data Accuracy - 99+% achievement rate
Timely Report Generation - 99+% achievement rate
Objective, simple presentation of data - 99+% achievement rate
__________________________________________
Beeline Summary:
The main function of the Data Analyst is to provide business intelligence support and supporting areas by means of both repeatable and ad hoc reporting delivery reports (charts, graphs, tables, etc) that enable informed business decisions.

Why work at BTI?

We're committed to creating a workplace where employees feel valued, supported, and empowered to grow. Our team benefits from competitive compensation, comprehensive health and wellness offerings, and opportunities for professional development. We are proud to be an equal opportunity employer and make all employment decisions without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information, veteran status, or any other legally protected status.

We comply with all applicable federal, state, and local employment laws, including those related to fair hiring practices, pay transparency, workplace safety, and reasonable accommodations. We are dedicated to maintaining an inclusive environment where everyone has the opportunity to succeed and contribute meaningfully.