Senior Digital Manager
TD
Information Analyst, Consumer Insider Risk
TD
full-time
Posted on:
Origin: • 🇺🇸 United States
Visit company websiteSalary
💰 $58,760 - $88,400 per year
Job Level
Mid-LevelSenior
About the role
- The Information Analyst - Consumer Insider Risk provides a range of business information management functions to support Consumer Insider Risk and Performance Integrity data and analytics.
- Works under general guidance of other senior team members in partnership with subject matter experts to design, develop and support business information management solutions for the department.
- Responsible for team's case log management including, data integrity, case assignment & workflow, database enhancements, and daily reporting.
- Responsible for daily case log database production routines
- Effectively monitors case log data integrity and escalates concerns
- Acts as gatekeeper throughout case workflow lifecycle
- Tracks case trending and escalates anomalies that are outside of standard thresholds
- New database development as needed
- Maintains procedures and data dictionary documents
- Manages PI Team Mailboxes
- Reconciles data from other investigative units
- Assists in compiling metrics for reporting and commentary
Requirements
- Undergraduate degree preferred
- 4+ years of relevant experience
- Broad knowledge of business and risk and control environment
- Knowledge of governance, risk and control procedures, strategies & tactics
- Skill in using analytical software tools, data analysis methods and reporting techniques
- Skill in using computer applications including MS Office
- Ability to communicate effectively in both oral and written form
- Ability to work collaboratively and build relationships
- Ability to work successfully as a member of a team and independently
- Ability to exercise sound judgement in making decisions
- Ability to analyze, research, organize and prioritize work while meeting multiple deadlines
- Ability to process and handle confidential information with discretion
- Ability to data mine and overlay supplemental information to existing data routines for analysis
