List Optimization Expert

6 days ago


Manila, National Capital Region, Philippines REED ELSEVIER SHARED SERVICES (PHILIPPINES) INC. Full time

About Our Team:

We are seeking a highly skilled List Optimization Expert to join our team. In this role, you will be responsible for the management of minor marketing list requests and serving as a backup for major segment lists.

You will play a critical role in safeguarding the accuracy and efficacy of our marketing list campaigns. Your expertise will be instrumental in shaping the success of our marketing campaigns.

Key Responsibilities:

  • Lead List Management:
    • Scrub opt-outs and blacklisted contacts or accounts from marketing lists.
    • Extract organization and contact information from the marketing database based on the criteria or targets set by the segment partners.
    • Collaborate with marketing teams to understand campaign requirements and audience segmentation.
    • Ensure data accuracy and manage expectations with respect to timeliness.
  • Campaign Optimization:
    • Collaborate with segment partners to resolve issues and factors affecting the volume of data desired for the marketing campaigns.
    • Continuously refine list generation processes for efficiency and effectiveness.
    • Collaborate with stakeholders to establish a culture of data-driven decision-making.
  • Data Analysis and Insights:
    • Track marketing campaigns, evaluate the criteria, and provide recommendations for target audience.
    • Provide insights to segment partners on the attributes from the marketing database that will help with their targeting criteria and enhance the success of their campaigns.
    • Analyze campaign trends and forecast list adjustments that need to be made for conflicting projects from different segments.

Requirements:

  • A bachelor's degree holder.
  • 2+ years of experience with lead list management/campaign management/segmentation/data analysis.
  • Strong analytical abilities with experience in data analysis tools (e.g., MS Excel, SQL, DBeaver).
  • Leadership competencies and experienced with stakeholder collaboration.
  • Ability to work with large datasets and perform ad hoc analyses.
  • Strong analytical and problem-solving orientation.
  • Sharp focus on details and quality.


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