Data Retention AND Destruction Specialist

Insight Global is seeking a strategic and analytical Data Retention and Destruction Specialist to support the implementation and refinement of our enterprise-wide Data Retention and Destruction Policy. This individual will play a critical role in identifying where data lives across 20+ systems, understanding its journey, and recommending retention and destruction strategies based on best practices. This person will be meeting with stakeholders from different areas of the company, write data mapping documents, and will make recommendations based on past experience on a go forward plan. This person will be compensated at an hourly rate between $40-70 / HR dependent on experience.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity / affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and / or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal. com. To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy : .

Categorization of data

SQL Queries

Experience with Data Retention and Destruction Policy

Experience partnering with stakeholders to understand their data journey; determine where data goes, where does it go?

Experience with Data tagging

• MS Purview, Varonis (platform for data classification)
• Identifying and building out maps of where data is
• Documentation where data is sitting

Ability to share experiences to recommend how to handle data from a retention standpoint