Summary of day to day responsibilities:

• This role will focus on Data De-Identification. How Data needs to be treated in order to remove Personal Identifier characteristics when consumed for analytics purposes to remain complaint with Law 25 Regulations.
• Today, this is a manual process.
• Looking at data required to satisfy analytic use cases deemed non-integral at a field level and applying the appropriate Data Treatment base don a defined set of rules.
• The candidate will also be required to look at the overall dataset and determine if there is data present that cannot be combined for consumption under law 25 regulations.
• Candidate will be required to interact with Users/Internal customers from the various LOB’s and understand the needs of both the use case as the downstream customer(s)

Must Have:

• Must be comfortable communicating with Peers and Mgmt
• Data engineering
• SQL
• Python

Nice To Have:

• Tableau
• JSON
• Data Classification / REGEX Development