Data Platform and Analytics Developer - CSULB

Position: Data Platform and Analytics Developer - Open to CSULB Employees Only
our commitment to your overall well-being.

To be eligible for full benefits, employees must be appointed at least half-time (.50 FTE) with an appointment lasting more than six months and one day. Benefits eligibility and offerings may vary based on appointment type, classification, and applicable collective bargaining agreement. Eligible employees may have access to a comprehensive benefits package that can include:

* Paid Time Off:
Up to 24 vacation days per year (based on employee group and/or length of service), 14 paid holidays, and 12 sick days annually with unlimited accrual.

* Health Coverage: A variety of medical, dental, and vision plans.

* Retirement Plans:
Participation in the CalPERS defined benefit plan, along with voluntary savings options such as 403(b), 401(k), and 457 plans.

* Educational Benefits:
Tuition fee waiver programs for eligible employees; dependent eligibility varies by employee group and bargaining unit.

* Employee Assistance Program (EAP):
Confidential counseling and support services for employees and their families.

* Additional Benefits:
Wellness programs, professional development opportunities, and insurance options including life, disability, and pet insurance.

Candidates are encouraged to review the appropriate CSU Employee Benefits Summary for details specific to their position. Additionally, the CSU Total Compensation Calculator is available to help prospective employees understand the full value of the CSU benefits package and how it complements base salary.

Knowledge, Skills, and Abilities

The ideal candidate demonstrates strong knowledge of research techniques, including methods for gathering, analyzing, and interpreting data, as well as statistical procedures and principles. They are proficient in desktop word processing and spreadsheet software and have experience assisting in the development of questionnaires and research instruments. This individual is 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, and possesses expert knowledge of website utilities.

They communicate clearly and effectively both in writing and verbally, collaborate well with others, and maintain a strong customer service orientation. Additionally, they are able to work effectively and inclusively with individuals from diverse racial, ethnic, and cultural backgrounds while applying 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."

Education and Experience

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.

Preferred:

1. 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.

2. 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, People Soft, or comparable enterprise data systems is a plus.

3. 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.

Application Procedures

Click "Apply Now" to complete the CSULB Online Employment Application.

Please fill out the application completely. It is important that all sections of the online application are completed fully and accurately. Be sure to include all relevant education and experience. Your application will be used to determine whether you meet the minimum qualifications for this position.

Physical Summary

Sedentary work - Involves mainly sitting. Walking and standing are minimal. Lifting is limited to lightweight objects (10 pounds or less).

Additional…