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Senior Business Development Analyst
2 months ago
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.
- 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.
