JOB TITLE: DATA ANALYTICS SPECIALIST 3

JOB CODE: 10603

SERIES NATURE OF WORK: The Data Analytics Specialist job series describes professional work that combines the disciplines of statistics, business analysis, and computer programming to design, develop, deliver, and maintain analytic applications and solutions.

DEFINITION: This is highly advanced professional and consultative work developing data analytic strategies and capabilities for an agency.

An employee in this job is responsible for assessing an agency’s data analytic needs; identifying data acquisition, data quality, analytic applications, and data science technology strategies; and linking these strategies to business goals. Work involves leading the end-to-end work flow of complex data science projects and solutions across multiple program areas from inception as a business analysis problem to completion and deployment as an operational analytic application or solution; researching, evaluating, and implementing agency data science technologies, techniques, processes, and policies; overseeing the creation, maintenance, modification, accuracy, and reporting of data models, analyses, and processes that generate key statistics and metrics for agency leadership; and recommending and implementing agency data collection, integration, and retention requirements. Work includes evaluating business objectives, value, cost, and technical and human resource feasibility of data science projects; consulting regularly with Information Technology (IT) and agency stakeholders on data science strategies and initiatives; and providing technical and analytical guidance on complex analytic applications. Work may include functioning as a supervisor over lower-level Data Analytics Specialists or Statisticians. Work is performed independently and is reviewed for achievement of objectives and overall program effectiveness.

DISTINGUISHING CHARACTERISTICS:

•Non-supervisory work at this level is differentiated from the Data Analytics Specialist 2 based on responsibility for identifying and delivering the data analytics strategies and priorities of an agency and leading complex data science initiatives. These projects have significant impact on an agency’s mission and involve the most complex quantitative and computational problems, such as integrating multiple internal and external data sources into a single data analytics platform used across an agency or developing and putting into production quantitative models with predictive or prescriptive statistical capabilities.

•Work may involve supervising Data Analytics Specialists 2, Statistician Managers or Supervisors 2, or other positions at PSG 09 and below that participate in the planning, development, delivery, and maintenance of analytic applications and solutions.

EXAMPLES OF WORK: (NOTE: The examples of work are representative of the work, but every position classified to this job may not perform all examples of work listed. Conversely, this is not an all-inclusive list of work examples.)

•Directs the development, modification, implementation, and maintenance of an agency’s most critical analytic models that involve key statistics and metrics driving leadership decision-making and strategy.

•Conducts gap analyses comparing the current state of agency analytics capabilities and infrastructure to data goals and develops recommendations to include optimization of existing technology within current computing environment and assessing new data science technologies in partnership with IT.

•Serves as the data analytics expert for agency cross-functional initiatives and projects involving data structures, standards, mining, processing, business intelligence, and visualization technologies.

•Leads complex analytic application development projects spanning multiple program areas by determining the project scope; preparing cost and schedule estimates; documenting project requirements, objectives, anticipated value, and actual costs; ensuring availability of required technical and human resources; monitoring and reporting progress; resolving critical issues; and conducting formal project reviews.

•Establishes and facilitates work groups for complex data science projects ensuring necessary expertise in IT, domain knowledge, and data analysis are leveraged.

•Partners with IT to create repeatable, efficient, and scalable data analytic products.

•Evaluates and recommends opportunities to automate computational processes to increase efficiency and accuracy of cleaning, validating, organizing, and processing data for an agency.

•Communicates goals and strategies for complex or sensitive data analytics projects and provides analysis and findings to agency leadership.

•Identifies and manages contract resources to augment analytical or technical skills required to develop data science initiatives.

•Establishes processes to monitor and evaluate the sustainability of data analytic related capabilities.

•Develops and implements analytic project documentation framework for agency.

•Partners with IT and program staff to oversee the publishing and distribution of analytic data and products across commonwealth agencies and to the public in accordance with established policies and laws.

•Performs the full range of supervisory duties.

•An employee in this job may participate in the performance of subordinate’s work consistent with operational or organizational requirements.

•Performs related work as required.

ENTRY LEVEL KNOWLEDGES, SKILLS, AND ABILITIES:

•Knowledge of the principles and practices of statistical, mathematical, and quantitative analysis concepts.

•Knowledge of data management fourth generation languages (4GL) for preparing, analyzing, and visualizing data.

•Knowledge of database querying languages such as SQL.

•Knowledge of data management, transfer, and integration protocols.

•Knowledge of information security practices relevant to the development of data analytic solutions.

•Knowledge of data warehouse architecture principles.

•Knowledge of software development lifecycle.

•Knowledge of project management methodology.

•Knowledge of the use and functionality of Microsoft Office Suite software.

•Ability to think critically and solve business problems.

•Ability to analyze business processes to identify and assess data and functional requirements.

•Ability to analyze, evaluate, and validate quantitative models.

•Ability to communicate effectively orally.

•Ability to communicate effectively in writing.

•Ability to establish and maintain effective working relationships.

MINIMUM EXPERIENCE AND TRAINING: (NOTE: Based on the Entry Level Knowledges, Skills, and Abilities):

•One year as a Data Analytics Specialist 2 (commonwealth title);

or

•Four years of professional quantitative analytical experience utilizing data preparation, statistical analysis, or data visualization software programs and a bachelor’s degree in statistics, applied mathematics, computer science, data science, economics, actuarial science, geographic information systems (GIS), or a related STEM field (science, technology, engineering, and mathematics);Thirty (30) graduate credits in data analytics or a closely related field may be substituted for one year of the required experience;

or

•An equivalent combination of experience and training.