About the Department

This recruitment has been reopened to include the California residency requirement and to clarify the technical requirements for the position. If you applied previously, you must resubmit a new application that reflects these updates.

The Superior Court of Los Angeles County is the largest unified trial court in the United States. The Court’s 582 judicial officers and its dedicated workforce of over 4,600 full-time employees serving across 36 facilities work purposefully and seamlessly to achieve the mission to provide equal access to justice to all of Los Angeles County. At the heart of the Los Angeles Superior Court is commitment and collaboration between team members who contribute professional skill sets and meaningful work experiences toward the goal of serving the community at large. 

Accessible career paths, a healthy work-life balance, job stability, and comprehensive total rewards including generous pay and benefits, a robust public sector pension, and Court matched 401K/457 individual savings plans, are just some of the values that the Court offers to every member of its thriving workforce. Plan your future with the Los Angeles Superior Court – connect with us today.

ABOUT THE POSITION

We’re looking for a passionate Principal Data Analyst who is eager to design, build, and implement modern analytics solutions. The ideal candidate will play a key role in designing and engineering state-of-the-art data analytics solutions, leveraging Power BI, tools like WhereScape RED, ADF, Snowflake and advanced analytics using AI and ML technologies to drive innovation and efficiency. With proven experience implementing comprehensive systems using automation frameworks and cloud data platforms, this role offers the opportunity to further expand your expertise in advanced data engineering and analytical solutions while contributing to transformative initiatives.

The official classification for this position is Business Systems Analyst, Principal. For a detailed job description, click here. Please note the requirements in the job description may vary from the requirements in this bulletin. Applicants must meet the requirements stated in this bulletin. 
  
Key responsibilities: 

• Analytics Implementation - Design and deliver end-to-end analytical solutions by applying advanced data exploration, statistical methods, and advanced analytics tools and techniques. Build analytical processes that transform raw data into actionable insights to inform enterprise decision-making.
• Data Engineering - Contribute to the design, development, and optimization of scalable data pipelines and storage solutions. Apply strong knowledge of enterprise data architecture, ELT/ETL design, and best practices in modern data warehousing to support large-scale analytical ecosystems.
• Data Transformation & Automation - Leverage automation frameworks—primarily WhereScape RED—to architect, generate, and deploy end-to-end data warehouse objects. Automate ingestion, transformation, metadata management, and lifecycle maintenance to accelerate delivery and improve consistency across the data environment.
• Data Platforms - Implement data solutions using platforms such as Snowflake and Azure. Build secure, high-performance data structures and integrate them with automated pipelines to support enterprise-level analytics.
• Dimensional Modeling - Design and maintain robust dimensional data models. Ensure models reflect business processes accurately and support efficient analytical querying across subject areas.
• SQL Development & Optimization - Write, tune, and validate complex SQL logic across Snowflake, Microsoft SQL Server, Oracle, and other cloud-based environments. Improve query performance and ensure efficient data processing at scale to support analytical workloads.
• Project Execution & Collaboration - Drive technical execution of analytics and data engineering initiatives. Coordinate cross-functional workstreams, define technical deliverables, and ensure solutions are aligned to business objectives and enterprise data strategy.
• Technical Mentorship & Best Practices - Serve as a subject-matter expert in analytics engineering, data warehousing, and automation using WhereScape RED. Provide guidance and enforce best practices in data modeling, data transformations, and metadata-driven automation.
   

THIS IS A TELEWORK ELIGIBLE OPPORTUNITY

This position may be eligible for full or partial telework following an initial training period and contingent upon the needs of the Court. 

CALIFORNIA RESIDENCY REQUIREMENT

Employment with the Superior Court of Los Angeles County requires employees to maintain their primary residence within the State of California. Applicants must currently reside in California or be willing to establish California residency by the start of employment. This requirement will be verified during the hiring process.

SELECTION REQUIREMENTS
To qualify, you must meet one of the following options at the time of application:

• OPTION I: 9+ years' experience in business analysis, requirements definition and information technology support as it relates to data and analytics.
• OPTION II: Associate’s degree* in information technology, computer science, management information systems, or related field; -AND- 7+ years' experience in business analysis, requirements definition and information technology support as it relates to data and analytics.
• OPTION II: Bachelor’s degree* in information technology, computer science, management information systems, or related field; -AND- 5+ years' experience in business analysis, requirements definition and information technology support as it relates to data and analytics.
• OPTION IV: Master’s degree* in information technology, computer science, management information systems, or related field; -AND- 3+ years' experience in business analysis, requirements definition and information technology support as it relates to data and analytics.

*To qualify for Options that require educational credentials, you must attach the required documentation to your application. For more information, please visit the Applicant Support page.

Note: Credit for experience is given based on a 40-hour workweek. Part-time experience is credited on a part-time ratio (e.g., working 20 hours per week for two months equals one month of experience). Overtime does not count toward additional credit.

DESIRABLE QUALIFICATIONS

• Experience designing, developing, and deploying analytics-driven data solutions that support enterprise decision-making.
• Proficiency in data engineering, data warehousing concepts, and modern data architecture.
• Strong experience with WhereScape RED and other automation platforms such as Azure Data Factory.
• Experience with Snowflake, Azure, and cloud-based data engineering frameworks.
• Deep understanding of dimensional modeling principles and experience designing effective analytical data models.
• Advanced ability to write and optimize SQL for data extraction, transformation, and analysis across diverse database platforms.
• Experience translating business requirements into scalable technical solutions and documenting end-to-end data processes.
• Exposure to Python or R for analytical processing or automation.
• Familiarity with AI and machine learning concepts and how they integrate with predictive analytics workflows.
•  Understanding of DevOps/DataOps practices within analytics engineering pipelines.
• Experience with reporting tools (e.g., Power BI).

APPLICANT SUPPORT & INFORMATION

Applications must be submitted online. Before submitting your application, carefully review ALL the information detailed on our APPLICANT SUPPORT page linked HERE.

Applicants with disabilities who require reasonable accommodation to participate in the recruitment process may submit a request for accommodation to the email provided below. For additional employment information, please click HERE.

WHAT TO EXPECT AFTER APPLYING

This recruitment process may take up to 4-6 weeks to complete. We will notify you of the outcome after each step of the recruitment process, detailed below:

EVALUATION: Qualifying evaluation of education, training and experience based upon submitted application and supplemental questionnaire. 

ELIGIBILITY: Applicants who best meet job-related qualifications will be placed on an eligible list which will remain active for approximately six (6) months and may be invited to participate in a selection interview. Other vacancies may be filled using this list.

Questions regarding this posting may be e-mailed to [email protected].

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