Data Research Specialist I

Maintains and updates customer data repositories (data marts). Ensures data quality, security, and accurate data entry aligned to established procedures.

Accountabilities

• Develops and maintains customer information database (usually specific data marts) to support analysis, application development and data driven marketing techniques
• Manages information security, data protection, data quality and exchange
• Liaises with the IT and other data management functions as required both internally and externally
• Responsible for entering and verifying contact information through manual processes.
• Perform web searches to critically validate detailed law firm, corporate, academic tax, bar and government data and make corrections into database as and when necessary.
• Validate/acquire data from external data sources (Via Web)
• Compliance with data cleansing guidelines.
• Ensuring highest data quality and error free delivery of data.
  
  

General Profile

• Able to follow set instructions and processes to complete work
• Identifies the problem and all relevant issues in straightforward situations, assesses each using standard procedures and makes sound decisions
• Has prior relevant training or related work experience
• Has working knowledge and skills
• Recommended Skills Functional Knowledge: Performs routine tasks following specific instructions or under supervision
• Business Expertise: Understands how the assigned duties relate to others in the team and how the team integrates with other teams
• Leadership: Has no supervisory responsibilities; manages own workload
• Problem Solving: Work is clearly defined and completed according to instruction
• Impact: Impacts own team through the accuracy and quality of work Interpersonal
• Skills: Uses communication skills to exchange information
  
  

Qualifications

• Bachelor's Degree holder
• Experience in database management, as well as data mining and customer segmentation
• Has strong sense of ownership relating to tasks and responsibilities
• Organized and very systematic in handling tasks at hand
• Provide sound and sensible recommendation for improvement
• Must have excellent written and verbal communications skills and the ability to effectively collaborate across all levels of the organization.
• Proven success at managing change.
• Strong organizational, prioritization and delegation skills.
• Proven problem solving and analytical skills.
• Detail oriented and project management skills.
• Ability to quickly learn and apply enterprise AI tools and technologies to support technical workflows and business objectives.
  
  

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