Lead – Geomarketing, Research & Analytics

Lead – Geomarketing, Research & Analytics

The Lead Geomarketing, Research and Analytics will be responsible for leveraging geographic data and spatial analysis to support strategic decision-making in customer acquisition, network expansion, and market penetration. This role will play a critical part in driving data-driven insights to optimize sales performance and customer experience.

Key Responsibilities:

• Market Analysis & Strategy Development:
  • Conduct geospatial analysis to identify high-potential market areas.
  • Analyze customer demographics, behavior patterns, and competitor activities to inform marketing strategies.
  • Develop targeted campaigns based on geographic data to increase customer acquisition and retention.
• Network Expansion Support:
  • Assist in identifying optimal locations for network infrastructure expansion.
  • Collaborate with the technical team to assess site viability and forecast customer demand.
  • Support in site planning business cases and bridging the Technicals and commercials
• Data Management & Reporting:
  • Collect, analyze, and visualize geographic and demographic data.
  • Generate regular reports and dashboards to support decision-making.
  • Maintain a GIS database and ensure data accuracy and integrity.
• Stakeholder Collaboration:
  • Work closely with sales, marketing, and technical teams to align geomarketing strategies with business objectives.
  • Provide insights to support pricing strategies and promotional campaigns.
• Performance Monitoring:
  • Track the effectiveness of geomarketing initiatives.
  • Recommend improvements based on performance data and market feedback.

Qualifications and Experience:

• Bachelor’s degree in Geography, Geospatial Science, Business Analytics, or a related field.
• Minimum of 3-5 years of experience in geomarketing, data analysis, or a similar role within the telecommunications industry.
• Proficiency in GIS software (e.g., ArcGIS, QGIS) and data visualization tools (e.g., Power BI, Tableau).
• Strong analytical skills with experience in statistical analysis and predictive modeling.
• Excellent communication and presentation skills.

Key Competencies:

• Strategic thinking and problem-solving abilities.
• Attention to detail and accuracy in data analysis.
• Ability to work cross-functionally with diverse teams.
• Adaptability to dynamic market conditions.