The following provides a general description of duties and a more specific description of requirements for the Staff Analyst Level I. Please note that the summary of responsibilities and required abilities identified below are not to be construed as an exhaustive statement of duties, responsibilities, or requirements.
The Staff Analyst (Level I) will support capacity building activities for implementing the expanded responsibilities under the Drug Medi-Cal Organized Delivery System (DMC-ODS) Waiver and meet regulatory and contractual requirements.
The duties of the Staff Analyst (Level I), include, but are not limited to:
- Serve as a technical expert and consultant to management;
- Analyze and make recommendations to manager for the effective use of resources and personnel, the implementation and improvement of programs and operations, funding allocations, spending plans, and the refinement of management practices and policies;
- Perform special assignments and projects;
- Act as a team leader of other analysts; and
- Other duties as assigned; may be temporarily reassigned to COVID-19 assignments as needed.
- A Bachelor’s Degree from an accredited college or university in a discipline related to the core business function of the department as referenced in WOS section 2.2.4 -AND- two (2) years of experience in the analysis of public or non-public programs including those in health (e.g., medicine, physiology), public health, public policy and/or social work/social welfare. A Master’s Degree from an accredited college or university in a discipline related to the core business function of DPH may be substituted for one year of the required experience;
- Experience researching and analyzing protocols, best practices, policy issues, pending legislation, regulations, potential funding sources, fiscal/accounting principles, and reports and makes recommendations to management regarding impact on services;
- Experience collecting, analyzing, and evaluating program data and making recommendations for program modifications, funding allocations, quality improvement or corrective action;
- Computer literate and skilled in the use of MS Windows-based programs, including MS Office (Word, Excel, PowerPoint);
- Excellent oral and written communication skills; and
- A valid California Class C Driver License or the ability to utilize an alternative method of transportation when needed to carry out job-related essential functions.
- Experience leading the development, implementation, monitoring and evaluating of policies, goals and objectives for health-focused programs and/or fiscal systems;
- Experience with preparing reports for management and/or local, State, and/or federal agencies; and
- Experience with developing standards for evaluation for quality assurance.
- Two years or more, formal education related to the job, beyond the minimum required education; and
- Two years or more, professional work experience related to the job, beyond the minimum required experience.
The Staff Analyst, designated as Predictive Data Analyst, will assist in managing a large volume of data and data quality and applying appropriate statistical analysis and modeling to support data-driven decision making efforts and program design as well as to effectively evaluate outcomes of both treatment and prevention services.
The duties of the Staff Analyst, designated as Predictive Data Analyst include, but are not limited to:
- Assists department stakeholders to define data needs and requirements to ensure data science projects meet business needs at the community, regional, divisional, departmental, or county-wide level.
- Collaborates with other department subject matter experts to understand, identify, and select available and relevant sources of data for use cases, including internal and external data sources.
- Collaborates with data administrators and other IT staff to develop data pipelines and ensure the availability of quality data.
- Uses statistical programming languages and packages, computer scripting languages, and/or domain-specific languages to digest, manipulate, prepare, augment, evaluate, analyze, summarize, and visualize data.
- Conducts end-to-end predictive data modeling projects that include basic exploratory data analysis, feature engineering, model selection, deployment of models into production environments, and visualization of findings.
- Uses advanced data visualization techniques to create data dashboards and reports to be used by varying levels of the enterprise and business managers.
- Uses supervised machine learning techniques on less complex business problems, with an understanding of algorithms, feature selection, variable importance, hyper parameter tuning, and optimization.
- Performs data management and manipulation, including the writing of data queries of departmental databases and data marts, data cleaning, and joining of multiple and disparate data sets.
- Extracts and organizes data and applies quality-control techniques to ensure the accuracy and completeness of all data; researches source documents and coordinates with others to resolve missing or conflicting data and other anomalies.
- Assists in planning, designing, and managing experiments, consumer surveys, and other data collection projects to augment existing sources of data as necessary to solve business problems.
- Works with program staff to understand the implications of analyses and to ensure that findings are actionable and support data driven program, policy, and operational decision-making.
- Assists in coordinating with various functional teams to develop and implement products, services, tools, or business process changes resulting from the analysis.
- Accesses ongoing training and professional development to maintain familiarity with current industry and academic research to apply the latest and most useful statistical learning techniques to help extract patterns and trends from data.
- Other duties as assigned.
Additional Desirable Qualifications specific to Predictive Data Analyst:
- Option I: A Bachelor’s degree from an accredited college or university in a field of applied research such as Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, Psychology, or Public Health that included 12 semester or 18 quarter units of coursework in data science, predictive analytics, quantitative research methods, or statistical analysis -AND- Two (2) years of experience in the application of techniques of machine learning, predictive analytics, data management, and hypothesis-driven data analysis to complex experimental designs leading to actionable findings and recommendations -OR- A Master’s or Doctoral degree from an accredited college or university in a field of applied research such as Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, Psychology, or Public Health.
- Option II: Four (4) years of experience with responsibility for planning, designing, conducting, and evaluating research projects involving the application of techniques of machine learning, predictive analytics, data management, and/or hypothesis-driven data analysis to complex experimental designs leading to actionable findings and recommendations.
- *Experience at the level of Predictive Data Analyst is defined as using machine learning techniques to analyze complex data sets and find statistically significant, meaningful predictive patterns, relevant to program goals, that human intelligence could not identify on its own.