Data Analyst II

This position manages the collection of data and provides analytical expertise to the organization, four divisions and outside agencies. Coordinates, plans, and develops Sheriff's Office data analysis workloads and preparation functions and oversees the performance of all statistical analysis performed in the organization. Reports to the supervisor of the Policy & Planning section in the field of data analytics and works with all divisions in the development of business requirements and associated data, and information needs, metrics, and forecasting. Collaborates with DIT to ensure data analytic solutions meet county standards. Oversees and performs statistical analysis to identify patterns based on aggregate data to find risks or opportunities, as well as make performance change recommendations. Assures timely response to requests for reports, data, and information. Supports and/or serves on special committees, commissions, panels, and fulfills BOS, executive and other requests for analysis as assigned by Command Staff. Participates in requirements development for ensuring data elements and reporting alignment. Stays abreast of data analytics trends, particularly in the correctional, court security, civil process service, medical and mental health arena.

(The illustrative duties listed in this specification are representative of the class but are not an all-inclusive list. A complete list of position duties and unique physical requirements can be found in the position job description.)

• Develops data sets and extracts, data standards, and data models to ensure complete, correct, accessible and shareable data for information technology development projects;
• Gathers and documents business data, information and analytics requirements;
• Assists with and/or develops logical business models;
• Prepares physical database design and consolidation, standardization, cleansing, migration, or upload of data;
• Assists with planning and facilitating user requirement sessions for data analysis, data standardization, and data ownership;
• Analyzes business forms, reports, processes, practices, and procedures;
• Identifies data subject areas, data entities, attributes, relationships, information types, domains, and constraints;
• Develops structured diagrams, including data flow, entity life cycle, hierarchy, entity/relationships, conceptual schemas, and association matrix diagrams;
• Assists with identifying physical implementation requirements such as denormalization, data types, defaults, keys, transformations, referential integrity, and screen/script mapping;
• Assists with coordinating the development of logical data standards, definition standards, domain, and type standards, and with the resolution of related conflicts;
• Assists with the development of the corporate information architecture and policies;
• Maintains metadata, reporting objects, data repositories, and data dictionaries;
• Assists with the selection, implementation, and training of data administration practices and data access and CASE tools;
• Designs and runs database queries to assess or validate data;
• Performs data cleansing and transformations to assess data quality;
• Supports data testing and analysis for initiatives of higher complexity;
• Attends training workshops, product demonstrations, conferences, technical briefings, and conventions;
• Serves on committees and task forces;
• Undertakes special projects;
• Stays abreast of technology changes;
• Provides assistance to other staff, as needed.

(The knowledge, skills and abilities listed in this specification are representative of the class but are not an all-inclusive list.)

• Knowledge of information systems and the components that process data;
• Knowledge of the principles, practices, and methods related to information architecture;
• Knowledge of data administration areas such as policies and standards, data definition, modeling and logical design, database design, and quality control;
• Knowledge of data concepts such as syntax, taxonomy, and hierarchy;
• Knowledge of relational databases (such as Oracle or DB2) and CASE tools;
• Skill in brainstorming, presenting, sharing, discussing, and defending ideas;
• Skill in problem-solving, with appreciation and respect for diversity of differing professional views;
• Skill working with data modeling tools and relational databases;
• Ability to establish and maintain effective business relationships;
• Ability to help stakeholders effectively resolve issues related to cross-agency data sharing, usage conflicts, and data inconsistencies;
• Ability to follow special formatting requirements and conventions in work products;
• Ability to establish and maintain appropriate version control over work products;
• Ability to communicate effectively, both orally and in writing;
• Ability to make use of provided resources and seek guidance as needed;
• Ability to analyze and evaluate administrative processes and procedures for data analysis purposes;
• Ability to conduct research into new information technology;
• Ability to prepare user manuals and systems documentation;
• Ability to translate technical terminology into simple language and concepts;
• Ability to train employees in the use of data access tools.

MINIMUM QUALIFICATIONS:
Any combination of education, experience, and training equivalent to the following:
(Click on the aforementioned link to learn how Fairfax County interprets equivalencies for "Any combination, experience, and training equivalent to")
Graduation from an accredited four-year college or university with a degree in Information Technology, Information Systems, Computer Science, Business Administration, or related field AND coursework in analytics, biosystematics, biology, information architecture, engineering, library science, statistics, sociology, demographics, and/or marketing; Plus three years of data analysis and information experience in an academic, data administration, or analytics environment that involves using data modeling, ad hoc query, or business intelligence tools, relational databases, metadata and/or taxonomy.

PREFERRED QUALIFICATIONS:

• 4 year / bachelor's degree
• Graduation from an accredited four-year college or university with a degree in Analytics, Informatics, mathematics, survey design, data science, or computer science.
• Two years of professional work experience in data research, quantitative analysis, statistics, data science or data analytics.
• Two or more years of professional work experience with Law Enforcement, Corrections, or public service agency.
• Two or more years of experience cataloging and organizing large datasets, developing reports, and providing practical statistical analysis for a business or agency that previously did not have these processes in place.
• Two or more years of utilizing and navigating various software such as Jail Management Systems, ILEADS, Blueteam, ASIS, IA Pro, SMART Communication, PowerDMS or electronic health records.
• Two or more years of experience using a reporting tool such as SQL, SSRS, and MS Power BI.