Data Governance Analyst

Data Governance Analyst

McKinney, TX

hybrid 3 days a week F2F interview

12 months contract

The Data Governance Analyst is responsible for executing the Enterprise Data Governance Program to enable leadership to cost-effectively achieve and maintain an acceptable level of data risk in support of business strategic goals and regulatory requirements.

This position will execute data governance risk analysis initiatives across the organization and evaluate results and insights as well as metrics of the Data Governance Program to identify areas for risk reduction.

• Bachelor’s or Master’s degree in Information Technology, Information Systems, or Information Assurance or equivalent work experience.
• Minimum of 5 years of experience (Required)
• Certifications in Data and Analytics practices (Preferred)
• Experience in multiple data and analytics disciplines in support of the insurance, healthcare, or finance industries (Strongly Preferred)
• Leverage data analysis tools and processes to conduct analyses on data stores across the enterprise to identify areas of risk and its severity
• Apply policies and best practices to the data analyses to identify executable actions which will reduce risk but maintain or increase business performance
• Understand and be able to articulate the core functions and purpose of a Data Governance program
• Provide insight to business partners which enable them to make informed data risk management decisions
• Identify themes inside of business functions related to data use and data management which could help to attain targeted residual risk
• Define, compile, and report on program metrics that effectively measures program maturity
• Maintain strong working relationships with individuals and groups involved in managing information risks across the organization
• Knowledge of how data analytics tools are applied to varying data stores and applications
• Knowledge of the basic concepts and issues related to information security and its organizational impact
• Proficiency with data profiling and metadata scanning tools such as Informatica IICS
• Proficiency in data visualization tools such as Tableau, Power BI, and QlikView
• Data analysts need to be able to use statistical and programming tools to analyze data and identify patterns and trends
• Programming languages Python, R, and SQL to analyze and visualize data