Consumer Data Assurance Analyst

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* Work Location:

** Mount Laurel, New Jersey, États-Unis d'Amérique
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* Hours:

** 40
* * Pay Details:**$72,280 - $117,520 USDTD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience  compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
** Line of Business:
** Données et Analyses
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* Job Description:

** The Consumer Data Assurance Analyst (US) provides dedicated data management expertise to the US Consumer Bank. This role supports inventorying existing unstructured data, inclusive of Consumer-own reporting outputs and assisting in determining appropriate retention and disposition schedules. Works independently as a lead and may manage and direct activities related to adherence to standards, guidance on application of retention schedules and classifications of report output.
** Depth & Scope:
*** Expert level professional role, considered subject matter expert with in-depth knowledge / expertise in own domain / field of specialty and working knowledge of broader related areas
* Requires expert level conceptual and practical knowledge for own area of specialty and knowledge of broader related areas
* Advanced  analytical and problem solving skills and fluent in one or two programming language
* Works autonomously on a range of tasks and may be relied upon to coach / educate others
* Lead projects of  moderately to complex risk and resource requirements; may lead end-to-end processes or functional programs
* In-depth experience working with very large datasets and familiarity with big data technologies
* Keeps abreast of rapid business and technology  innovation within business information management field
* Familiar with visualization tools
* Analyzes, designs, develops data repositories, warehouses and marts, data movement, data wrangling, data mapping and transformation (ETL) processes
* Supports solutions, applications, platforms, and/or tools that are leveraged across all functional groups (e.g., Data Scientists, Business Insights & Analytics, etc.)
* May also be responsible for developing sophisticated data preparation frameworks and architecture to create or modify data features for consumption by Data Scientists
* Supports data modeling capabilities in order to structure business data to be consumed / translated into a variety of novel capacities
* Supports business teams in the use and understanding of the data and reporting solutions
* Develops data road map/information management strategies and corresponding technical solutions on integrating, transforming, and/or…