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Senior Business Development Analyst

2 months ago


Wilmington, North Carolina, United States Q Full time
Job Summary

We are seeking a highly skilled Senior Commercial Business Development Analyst to join our team at Q. As a key member of our business development team, you will be responsible for identifying market opportunities, analyzing demographic and economic factors, and developing data-driven models to assess ROI for capital investments.

Key Responsibilities
  • Market Analysis: Utilize geospatial analysis and business intelligence tools to identify market opportunities within our network locations.
  • Business Intelligence: Analyze demographic, economic, and competitive factors to determine areas with high potential for new service offerings to small and medium-sized business customers.
  • Data-Driven Decision Making: Develop data-driven models and metrics to assess ROI for capital investments in new service infrastructure.
  • Capital Investment Strategy: Identify specific areas where additional capital investment is justified based on market potential, customer density, and competitive landscape.
  • Collaboration: Collaborate with the data analytics team to enhance data processes and management techniques specific to market planning and capital investment strategies.
  • Tool Development: Develop tools and workflows to streamline data analysis and reporting for strategic decision-making.
  • Geospatial Analysis: Leverage geospatial data to map customer distribution, network coverage, and competitive presence in target areas.
  • Market Insights: Provide insights into market penetration strategies and service expansion opportunities.
  • Performance Metrics: Create and maintain performance metrics and KPIs related to market planning and investment strategies.
  • Visualization: Develop visualizations and dashboards to communicate findings and recommendations to stakeholders.
  • Technical Skills: Utilize Python for data processing and analysis tasks, and have experience with GIS tools such as ArcGIS for geospatial data analysis and visualization.
  • Database Management: Familiarity with SQL for database querying and manipulation, and proficiency in other programming languages as needed.
Requirements
  • Education: Bachelor's degree in a relevant field.
  • Experience: 5 years of experience using Python and GIS tools for data engineering and analysis.
  • Data Science: Strong background in data science, including modeling and analytics.
  • Geospatial Data Management: Knowledge of geospatial data management and its applications in business planning.
  • Strategic Planning: Experience in strategic planning, particularly in assessing market opportunities and ROI for capital investments.
  • Cloud Architecture: Familiarity with cloud architectures and DevOps practices.
  • Agile Methodologies: Understanding of Agile methodologies for iterative project management.