Job Description

Enterprise Data Governance Analyst II

Primary Duties & Responsibilities

JOB SUMMARY

Experience what being part of the Globe Life family feels like. Be inspired by your leaders, encouraged, and cheered on by your teammates to excel and be supported in your career while working with us. We offer a competitive salary with a great benefits package, including 401(K) match, medical, dental, and vision health plans, short – term and long-term disability, paid time off, tuition reimbursement and other career development opportunities.

At Globe Life, the Enterprise Data Governance Analyst II is responsible for executing the Enterprise Data Governance Program to enable leadership to cost-effectively achieve and maintain an acceptable level 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.

PRIMARY DUTIES & RESPONSIBILITIES

• 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
• Provide coaching to junior analysts
• Other duties as assigned.

KNOWLEDGE, SKILLS, & ABILITIES

• 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
• Communicate complex information, concepts, or ideas in a confident and well-organized manner through verbal, written, and/or visual means
• Function in a collaborative environment, seeking consultation with other analysts and experts
• Leverage best practices and lessons learned by external organizations and academic institutions dealing with information security issues
• Knowledge of the organization’s core mission/business processes, issues, objectives, and operations in information security and the operational impact of a security lapse
• Ability to create a narrative from data findings in a business context.
• Apply critical thinking skills during the risk analysis process
• Good interpersonal skills that include the ability to effectively communicate both in written and verbal forms.
• Stay current on the latest data and analytics trends, vulnerabilities, privacy legislation, and news items; communicate new finding with team members
• Possess functional knowledge of the Insurance Industry 
• Familiarity with the security and privacy principles such as HIPAA, PCI, and NYDFS

Applicable to all employees of Globe Life & Accident and its subsidiaries:

• Reliable and predictable attendance of your assigned shift
• Ability to work full time and/or part time based on the position specifications.

EDUCATION & WORK EXPERIENCE REQUIRED

• Bachelor’s or Master’s degree in Information Technology, Information Systems, or Information Assurance or equivalent work experience.
• Minimum of 3 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)

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