Data Platform and Analytics Developer - Open to CSULB Employees Only

California State University • Long Beach, CA

1d • $6,492 - $9,458 • Onsite

About The Position

Join the vibrant community at California State University, Long Beach (CSULB)! Located just three miles from the Pacific Ocean, CSULB offers an inspiring workplace and an exceptional Southern California lifestyle. Our 322-acre campus—one of the largest in the CSU system—serves more than 42,000 students and is known for its commitment to student success, innovation, and impactful academic and research initiatives. As a member of the CSULB community, you’ll experience a dynamic environment filled with cultural landmarks, collaborative energy, and opportunities to make a meaningful difference. Work-life balance thrives here. Long Beach blends coastal relaxation with urban vibrancy, offering miles of beaches, year-round sunshine, a thriving arts and food scene, and convenient access to both Los Angeles and Orange County. It’s an ideal place to grow your career while enjoying everything Southern California has to offer. Join the California State University (CSU) and explore career opportunities that advance student success and strengthen California’s future—offering competitive compensation, comprehensive benefits, and professional growth.

Requirements

• Equivalent to a bachelor’s degree in Computer Science, Engineering, Industrial Technology, Telecommunications, or a related technical field and two years of related experience required.
• Knowledge of research techniques, including methods for gathering, analyzing, and interpreting data, as well as statistical procedures and principles.
• Proficiency in desktop word processing and spreadsheet software.
• Experience assisting in the development of questionnaires and research instruments.
• Skilled in compiling, analyzing, and presenting data through various formats, including written reports, electronic platforms, web-based tools, and data visualization software such as Tableau.
• Expert knowledge of website utilities.
• Ability to communicate clearly and effectively both in writing and verbally.
• Ability to collaborate well with others.
• Strong customer service orientation.
• Ability to work effectively and inclusively with individuals from diverse racial, ethnic, and cultural backgrounds.
• Ability to apply both basic and advanced statistical analyses using PC-based software.
• Ability to communicate with an ethnically and culturally diverse campus community.
• Ability to follow all university policies, procedures, and guidelines including but not limited to safety, civility, information security, and non-discrimination policies and procedures.
• Ability to contribute to a positive university experience for each and every student and assist in achieving the university's commitment to a "vision of excellence."

Nice To Haves

• Including or supplemented by an advanced understanding and applications of statistics, data management, programming, and data visualization.
• Graduate study in computer science, economics, mathematics, statistics, public or business administration, or engineering is highly desired.
• Two years of working experience in technical research, statistical analysis, data warehousing, and higher education business intelligence, including predictive modeling and institutional reporting.
• Relevant experience in Institutional Research in higher education including interpretation and presentation of data is preferred.
• Demonstrated proficiency in SQL, Python, and cloud-based data platforms — including data pipeline development, ETL workflows, and analytics workspace administration — will be given due consideration.
• Experience with Databricks, Delta Lake, PeopleSoft, or comparable enterprise data systems is a plus.
• A demonstrated commitment to data culture and data literacy.
• Knowledge of data governance practices, Master Data Management, ETL processes, and database normalization is required.
• Familiarity with cloud infrastructure (Azure, AWS, or GCP), version control (Git), and modern business intelligence tools is strongly preferred.

Responsibilities

• Manages the Databricks environment including workspace configuration, cluster management, data pipeline development, security, and integration with campus data sources such as the CMS and CSU Datalakes.
• Manages Power BI workspaces and develops interactive dashboards and reports using Power BI, Apache Superset, and other BI tools to deliver standard and ad-hoc data analytics to the campus community.
• Administers Tableau server including upgrades, security, user management, and site configuration. Publishes and creates Tableau dashboards and visualizations for standard and ad-hoc reporting needs.
• Develops and delivers standard institutional reports and responds to ad-hoc data requests. Applies statistical methods and data modeling to support campus decision-making, accreditation, and compliance reporting.
• Architects and maintains logical and physical data models. Administers the Institutional Research and Analytics Data Warehouse (IRADW) including data ingestion, quality assurance, and security.
• Manages user accounts and access across all platforms. Ensures data security and compliance with campus/CSU policies. Performs other duties as assigned.

Benefits

• Up to 24 vacation days per year (based on employee group and/or length of service)
• 14 paid holidays
• 12 sick days annually with unlimited accrual
• A variety of medical, dental, and vision plans.
• Participation in the CalPERS defined benefit plan, along with voluntary savings options such as 403(b), 401(k), and 457 plans.
• Tuition fee waiver programs for eligible employees; dependent eligibility varies by employee group and bargaining unit.
• Confidential counseling and support services for employees and their families.
• Wellness programs, professional development opportunities, and insurance options including life, disability, and pet insurance.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level