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State Of Vermont Dept Health · 3 hours ago

Racial Justice Data Analyst

Montpelier

Full-time

Onsite

Entry, Mid Level

$62K/yr - $83K/yr

2+ years exp

The State of Vermont's Office of Racial Equity is seeking a Racial Justice Data Analyst to enhance data collection and quality within the Division of Racial Justice Statistics. The role involves analyzing data, developing public-facing tools, and ensuring compliance with statistical reporting requirements while applying an equity lens to research and policy analysis.

Responsibilities

Provide analysis and recommendations on processes to improve data collection and quality

Prepare information to inform testimony for legislative hearings

Attend meetings with state Boards, Committees, Commissions, and Councils as requested

Contribute to the development and management of public-facing data tools, visualizations, and websites

Coordinate the development of necessary tools, systems, and future enhancements with the Agency of Digital Services

Help coordinate research partnerships and contracts with external partners

Assure that federal and state statistical reporting requirements are met

Apply equity principles to traditional research methods while ensuring a high level of analytical rigor

Analyze complex activities, relationships, and situations; identify problems; draw logical conclusions; and develop and defend independent recommendations

Present complex concepts and analyses to a wide range of audiences through clear and accurate reports and through other communication methods

Plan, organize, and evaluate the work assignments of technical specialists in computers and information systems

Acquire, organize, and correctly interpret large amounts of data

Lead efforts to develop complex queries to summarize and aggregate data sources and integrate large amounts of disparate data as well as review these queries with an eye for accuracy

Possess knowledge of statistical methods including analysis of variance, non-parametric statistics, multiple regression, survey sampling, multi-variant methods, and experimental design

Have knowledge of program evaluation instruments, procedures, and techniques

Understand Agency, State and Federal confidentiality laws, security standards, and necessary access policies as they pertain to clients and data of the State's systems

Qualification

Data analysisStatistical methodsData management lifecycleEquity principlesAutomated data processingComplex queriesProgram evaluationCommunication skillsOrganizational skillsProblem-solving

Required

Bachelor's degree or higher in data science, computer science, statistics, geographic information systems, sociology/anthropology, or related field AND two (2) or more years of experience in one or more of the following areas: statistical or analysis, data science, program/project management, or policy development

Four (4) or more years of experience in one or more of the following areas: statistical or analysis, data science, program/project management, or policy development

Knowledge and ability to apply equity principles to traditional research methods while ensuring a high level of analytical rigor

Working knowledge of the operations, characteristics and capabilities of automated data processing tools and the application of such tools to information processing needs

Ability to analyze complex activities, relationships, and situations; identify problems; draw logical conclusions; and develop and defend independent recommendations

Ability to present complex concepts and analyses to a wide range of audiences through clear and accurate reports and through other communication methods

Ability to plan, organize, and evaluate the work assignments of technical specialists in computers and information systems

Ability to acquire, organize, and correctly interpret large amounts of data

Extensive knowledge of the data management lifecycle, with experience in data collection, maintenance, and analysis

Ability to lead efforts to develop complex queries to summarize and aggregate data sources and integrate large amounts of disparate data as well as review these queries with an eye for accuracy

Considerable knowledge of statistical methods including analysis of variance, non-parametric statistics, multiple regression, survey sampling, multi-variant methods, and experimental design

Considerable knowledge of program evaluation instruments, procedures, and techniques

Knowledge of Agency, State and Federal confidentiality laws, security standards, and necessary access policies as they pertain to clients and data of the State's systems