The Health and Human Services Agency (HHSA) is seeking qualified applicants for the position of

Senior Data and Research Analysts conduct data analysis and research to inform decisions related to policies, resource allocations, and operations. These positions are responsible for leading and conducting data analysis projects, providing technical guidance and leadership to other analysts involved in these projects, and communicating with management and stakeholders to design projects and disseminate results. Incumbents are privy to highly confidential and sensitive information regarding decision-making processes on operational issues.

Duties include:

• Leads the design and implementation of data analysis projects; performs analyses or act as a project manager.
• Leads the discovery process with stakeholders to document business problems and to frame objectives to ensure that the correct research questions are defined, and the appropriate analytical methods are applied.
• Ensures that projects result in actionable findings and recommendations that can be used to support business decisions and resource allocation.
• Finds, extracts, and interprets data meanings in data for trends, solutions, improvements, efficiencies, and understanding needs.
• Builds dashboards and reports to visualize data statistics.
• Collects, analyzes, and manages data to develop, monitor, and improve outcome-based performance measures that support evidence-based, data-driven decision-making.

Areas of analytical specialization for these positions include:

Quantitative Data Analysis

• Oversees development of advanced and complex statistical models for prediction, forecasting, or risk analysis.
• Oversees the documentation of model specifications, assumptions, methods of data collection, etc.
• Oversees the development of data visualizations to analyze trends or relationships between multiple variables.

Qualitative Data Analysis

• Leads qualitative study design meetings with the project team and relevant stakeholders.
• Co-leads the development of mixed-method study design meetings with the project team and relevant stakeholders.
• Develops, reviews, and approves protocols to collect qualitative data.
• Oversees the collection and analysis of qualitative data.
• Oversees the development, implementation, and analysis of different types of surveys (e.g., pre- post-).

Performance Measurement

• Develops a deep knowledge of the organization’s business functions to develop key performance indicators (KPIs).
• Oversees the application of descriptive statistics to the organization’s data to operationalize KPIs to assess the efficiency of the organization’s operations.
• Reviews, approves, and oversees the development of dashboards to visualize and track KPIs.
• Oversees the monitoring and analysis of data quality to ensure accurate estimation and reporting of KPIs.

Program Evaluation

• Engages subject matter experts to develop a deep insight into the program being evaluated.
• Develops strategies to conduct literature reviews to determine existing evidence on the program being evaluated and makes decisions regarding the implications for literature review findings for the development of evaluation plans.
• Leads the development of and approves plans for program evaluations using the most appropriate methodology for the available data, nature of the program, and type of evaluation (process/implementation, outcome/causal, economic, etc.).
• During the study design phase, develops plans for the cleaning, transformation, and analysis of data, and subsequently oversees the implementation of these tasks, and ensures that they adhere to the pre-established plans.

Data Management

• Collaborates with information technology to define requirements for the data and analysis infrastructure that will support analytics teams.
• Develops in-depth knowledge of and makes recommendation for improvement to the data.
• Oversees compliance with expectations regarding legal and ethical use of data, as well as data sharing agreements, memoranda of understanding, etc.
• Reviews, approves, and oversees plans to use scripting languages to automate the extraction, transformation, and loading of data into the organization’s data infrastructure.
• Oversees the creation of documentation including codebooks, data dictionaries, data taxonomy, metadata, etc.
• Develops protocols and oversees the staff responsible for manual and batch record reviews to clean data errors or to improve matches in master data management systems.

The current vacancy is within the Health & Human Services Agency Human Resources; however, the list established from this recruitment may be used to fill vacancies in other County departments.

Click here to view the complete job description.

IDEAL CANDIDATE

The ideal candidate will have experience performing data analyses and/or data management in the government sector is highly desirable. A desire to collaborate with other staff (internal and external) is also important for this position due to the projects and where the data comes from. The ideal candidate will also be able to design and implement data analysis projects and have the flexibility to be the data analyst or project manager.

HIRING TIMELINE AND DATES

The timeline for this recruitment is outlined below.

MINIMUM QUALIFICATIONS

1. A bachelor’s degree from an accredited U.S. college or university or a certified foreign studies equivalency; AND, two (2) years of full-time professional level experience performing data analysis and research activities to support program, policy, and/or operational decision-making; OR,
2. Six (6) years of full-time professional level experience performing data analysis and research activities to support program, policy, and/or operational decision-making.

A master’s degree from an accredited U.S. college or university, or a certified foreign studies equivalency may substitute for one (1) year of the required experience; OR, additional years of experience as described above may be substituted for the education requirement on a year-for-year basis.

The Department of Human Resources removes personally identifiable information from all recruitments.  This practice, called Blind Applicant Screening, hides a candidate’s personal information that could influence or bias a hiring decision. Personal information includes name, phone number, address, gender, age and race. This process helps contribute to a fair and equitable selection process leading to a more diverse and inclusive workforce.

The most highly qualified candidates, based on the evaluation results, will be referred for an interview.  Be sure to include your experience in meeting the minimum requirements in both the Work Experience section and the Supplemental Questionnaire section of the Application.

Resumes will not be accepted in lieu of the application Work History and/or supplemental questionnaire.

CONDITION OF EMPLOYMENT

As part of the County of San Diego’s pre-employment process, prospective candidates will undergo a background check (including fingerprinting) and a pre-employment medical screening prior to beginning County employment. Additional types of background investigations may be conducted based on the job-related activities of the position. Current County employees may be excluded from this process.

EVALUATION PROCESS

Qualified applicants will be placed on a six (6) month employment list based on scores received during the evaluation of information contained in the supplemental questionnaire. Please ensure all information is complete and accurate as the responses you provide on the supplemental application form will be reviewed using an automated evaluation system. If you are successful in the initial screening process, your application will be reviewed individually to confirm that the information you provided is accurate and qualifying.

Note: Reasonable accommodation may be made to enable a qualified individual with a disability to perform the essential functions of a job, on a case-by-case basis.