OVERALL JOB SUMMARY

The Data Governance Analyst Sr. is responsible for the deployment of data policies and processes and their continued enforcement to include areas such as workflow for data ingestion, data quality, master data, and data life cycle management. This includes the formation and execution of data governance framework, policy, and standards. This position participates in managing the implementation of an enterprise data governance program. They are responsible for developing and implementing data standards, guaranteeing metadata is captured correctly, and creating methods for monitoring and reporting any data incidents. They also create and maintain common data dictionaries and the tools or methods that support data standards for TSC.

REQUIRED QUALIFICATIONS

Experience: 5+ years of experience in Retail Analytics or related business. Experience with Data Governance/Quality tools, visualization tools (such as PowerBI) and the associated processes, required. Knowledge in reporting, analytics, and problem solving a must.
Education: Bachelor’s degree from an accredited college/university in Business, Information Systems, or Data related field is required. Any suitable combination of education and experience will be considered.

PREFERRED KNOWLEDGE, SKILLS OR ABILITIES

• Experience with Data Governance/Data Quality processes, roles, policies, standards, and metrics that ensure the effective and efficient use of information.
• Ability to summarize business problems and develop analysis through reports or dashboards to provide solutions or recommendations.
• Experience in writing Python and SQL in an analytical capacity. Experience in other programming language(s) preferred but not required (such as JavaScript, HTML, R, etc.).
• Experience in utilizing evolving data analytics applications such as advanced Excel, Collibra, Snowflake, and PowerBI required.
• Intermediate facilitation skills with the ability to drive issues to closure.
• Demonstrated experience with large data sets and relational databases.
• Detail-oriented approach to tasks, especially regarding data integrity and data quality.
• Excellent written and verbal communication skills across multiple enterprise levels/positions.
• Proficiency in Microsoft Office products.
• Cross-functional project management skills, self-starter, and accustomed to leading projects with little supervision.
• Omni-channel retailer company experience a plus

PHYSICAL REQUIREMENTS

• Sitting
• Standing (not walking)
• Lifting up to 10 pounds

DISCLAIMER

This job description represents an overview of the responsibilities for the above referenced position. It is not intended to represent a comprehensive list of responsibilities. A team member should perform all duties as assigned by his/ her supervisor.

• Work with TSC business units/stakeholders to understand their needs to develop appropriate Data Governance and Data Quality solutions.
• Provide thought leadership and participate with projects that involve any of the upstream or downstream data flows and processes.
• Build and maintain a robust data governance framework of policies, standards, principles, metrics, and processes.
• Help define the approach, strategy and sequencing of Data Governance deliverables and help lead the implementation, working on and building road maps and effective plans.
• Create the guidelines related to data governance and data quality and ensure clear accountability, and work with various stakeholders across the organization to achieve the goals defined in the data governance and data management strategies.
• Supervise monitoring of data quality process, identifying data quality issue patterns, applying remediation plans, implementation of data controls, and managing data quality remediation strategies. Work with stakeholders to improve data quality and integrity by looking at the organizational behaviors.
• Utilize DG/DQ applications in tracking productivity and progress of data modifications by establishing data quality metrics, key performance indicators (KPIs), and service level agreements (SLAs).
• Serve as a consultant to internal and external business partners by providing recommendations to enhance collection, integrity, and strength of data sets used to make informed decisions.