Data Analyst III

The Data Analytics Strategy Management (DASM) Division of the Fairfax County Fire and Rescue Department (FRD) provides decision makers with accurate, up-to-date information across a wide variety of topics. As part of DASM, this position serves as the senior supervisory data analyst for the FRD, including responsibilities such as:

• Manages the Data and Analytics Section and supervises a team of analysts and that provide analytical expertise to the organizations three bureaus and outside agencies.
• Coordinates, plans, and develops FRD data analysis workloads and preparation functions, and oversees the performance of all statistical analysis performed in the organization.
• Reports to the Data Analytics Strategy Manager in the field of data analytics and works with all bureaus in the agency in the development of business requirements and associated data and information needs, metrics and forecasting.
• Collaborates with DIT Public Safety division, e-Government and GIS divisions 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 the Data Analytics Strategy Manager.
• Participates in requirements development for ensuring data elements and reporting alignment.
• Stays abreast of data analytics trends, particularly in the fire and rescue 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 description.)

• Mentors the work of lower-level data analysis, providing work counseling, guidance, and training as needed;
• Develops data standards, analytic schemas, and complex data models to ensure complete, correct, accessible and shareable data for information technology development projects;
• Gathers and documents business data, information, physical, and analytics requirements;
• 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;
• Designs reporting schemas and data models of moderate to advanced scope and complexity Identifies and documents 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;
• Assesses disparate databases for streamlining, standardization, and consolidation opportunities, designing appropriate schemas to enable modernization or optimization;
• 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 shared information assets including logical data standards, definition standards, domain, and type standards, and with the resolution of related conflicts;
• Provides key input to the development of the corporate information architecture, policies, and methodologies;
• Maintains metadata, schemas, data repositories, and data dictionaries;
• Assists with the selection, implementation, guidance and training of data administration practices, 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 high 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.)

• Considerable knowledge of information systems and the components that process data;
• Considerable knowledge of the principles, practices, and methods related to information architecture;
• Considerable knowledge of data administration areas such as policies and standards, data definition, modeling and logical design, database design, and quality control;
• Considerable knowledge of data concepts such as syntax, taxonomy, and hierarchy;
• Considerable knowledge of relational databases (such as Oracle or DB2) Knowledge of business intelligence solutions or data-related CASE and modeling tools;
• Knowledge of data modeling mapping, cleansing, extraction, exchange, manipulation, and load principles;
• Extensive knowledge of business process analysis and redesign;
• Some knowledge of business intelligence and information system design principles;
• Some knowledge of services-oriented architecture, object-oriented application development, data integration, data exchange protocols, or XML schema design;
• Skill in brainstorming, presenting, sharing, discussing, and defending ideas;
• Skill in problem-solving, with appreciation and respect for diversity of differing professional views;
• Skill in leading meeting participants toward consensus;
• Skill in designing and presenting conforming, efficient, and unambiguous models and diagrams of complex reporting and information systems;
• Skill in applying work and ideas to advance enterprise architecture goals and objectives: 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 essential task deliverable and 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 five years analysis of data and information experience in an academic, data administration, or business data analytics environment that involves using data modeling, database consolidation, ad hoc query, or business intelligence tools, relational databases, metadata, XML schema design, and/or taxonomy.

PREFERRED QUALIFICATIONS:

• Experience conducting descriptive and inferential statistical analysis
• Experience conducting data wrangling, data analysis, or advanced analytical reporting
• Experience scripting queries and designing objects using relational database software such as Microsoft SQL Server Management Studio or Oracle
• Experience designing reports with business intelligence software such as Power BI or Tableau
• Experience analyzing geospatial data, or developing geospatial software products and solutions
• Experience working within an enterprise GIS portal, such as ArcGIS Enterprise
• Experience leading technical teams, either as a team lead or direct supervisor