Lead Analyst developing and delivering customer engagement, credit, and pricing strategies for a finance business. Utilizing analytical techniques and collaborating with cross - functional teams to optimize portfolio management.
About the role
- Data Quality Analyst managing and maintaining accuracy in CRM databases for a global analytics provider. Focused on data accuracy, completeness, and integrity through detail-oriented processes.
Responsibilities
- using the approved internet sites, the Data Quality Analyst verifies and/or updates contact/account information in InterAction.
- Information gathered and entered into the database must be correct and should meet the Quality Standard.
- An audit procedure is conducted regularly with a passing rate of 97.00%.
- Completeness and Timeliness - this is measured through productivity.
- Productivity target is at least 20 records per hour.
- Perform data stewardship/maintenance of customers data by reviewing data change management tickets and approving or rejecting changes made to data.
- Research additional contact information where needed via LinkedIn and Web
- As data is added to the system, it may be necessary to manipulate the data using tools like Excel in addition to using the internal tools built into InterAction to edit and clean the data.
- The Data quality agent needs to pay close attention to details.
- Many times, when duplicate contacts are merged, there may be some cleanup tasks to eliminate “duplicate” addresses or phone numbers on the remaining contact.
- Sometimes phone or address “types” need to be changed to ensure a clean duplicate merge.
- The Data quality agent will need to know how to perform research, both internally and using external resources, such as the Internet.
Requirements
- Bachelor’s Degree holder
- Good Communication skills.
- Ability to provide detailed information and along with the ability to summarize effectively for management.
- Ability to work under pressure and within an environment of constant change.
- Excellent organization and analytical skills
- Proficient in Microsoft Office products
- Keen to details
- Ability to spot data discrepancy
- Understands how data flow in the system and how it impacts downstream system
- Knowledgeable and proficient in InterAction Windows Client is a plus
- Has AI or Data Analytics background is preferred
- Ability to quickly learn and apply enterprise AI tools and technologies to support technical workflows and business objectives.
Benefits
- Country specific benefits
Job title
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Not specified
Degree requirement
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