Mental Health Data Analyst; Data Analyst II

Overview

Johnson County Mental Health Center Administration is looking to fill the position of Behavioral Health Data Analyst. Under limited supervision, this position performs the full range of professional data management and data analysis duties required to support business units within the Mental Health Department. The role interprets customer needs, leads cross‑functional teams, quantifies results and trends, and translates concepts into practice.

The analyst assists in establishing and administering centralized projects with long‑term impact across multiple divisions.

This position will remain open until filled.

• Meets with technical and non‑technical staff to discuss technical specifications and operational problems; identifies problems and reviews related information to develop and evaluate options and implement solutions; explains what information means and how it can be used; assists with staff needs assessment, including evaluation of meeting quality standards for services and customer satisfaction; assists with gathering and documenting business data and information requirements;
  
  assists with analyzing business forms, reports, processes, practices, and procedures; assists with the development of structured diagrams, including data flow, entity life cycle, hierarchy, entity/relationships, conceptual schemas, and association matrix diagrams; and assists with the implementation and training of data administration practices and data access tools.
• Assists with the development of data sets and extracts, data standards, and data models to ensure complete, correct, accessible and shareable data for information technology development projects; assists with the development of logical data models, including the identification of data subject areas, data entities, attributes, relationships, information types, domains, and constraints; assists with identifying physical implementation requirements such as denormalization, data types, defaults, keys, referential integrity, and screen/script mapping;
  
  assists with the development of logical data standards, definition standards, domain, and type standards; assists with preparing physical database design; conducts analytical research and collects data; identifies information by categorizing, estimating, recognizing differences or similarities, and detecting changes in circumstances or events; identifies or detects a known pattern that is obscured within other distracting material; and selects the best methods or formulas (mathematical, statistical, logical, geospatial, etc.)
  
  to solve a problem.
• Prepares for physical database design and consolidation, standardization, cleansing, migration, or upload of data; designs and runs basic database queries to assess or validate data; and supports data testing and analysis for initiatives of higher complexity.
• Assists with creating and maintaining metadata, reporting objects, data repositories, and data dictionaries; performs basic data cleansing and transformations to assess data quality; and maintains data repositories and facilitates data access for users.
• Performs routine tasks associated with projects, studies, and initiatives; tracks progress of assigned projects; schedules events and activities; develops specific goals and plans to prioritize, organize, and accomplish work; advises supervisors and staff on operational, organizational, and resource problems; assists with the development of technical priorities, schedules, and budgets.
• Encourages and builds mutual trust, respect, and cooperation among team members and external partners.

Minimum

Job Requirements:

• Bachelor's degree in computer science, geography, science, technology, engineering, mathematics, or a relevant field of study.
• Three (3) years of experience at an analyst level in using GIS or other data analysis software; applying principles and methods to define features, physical characteristics, locations, interrelationships, and distribution of data; functional testing; reporting; and spatial, performance and/or statistical analysis in an academic, data administration, or business data analytics environment that…