Data Researcher at VAES.ai optimizing engineering solutions through data. Conducting research and analysis for project proposals, client reports, and partnership opportunities.
Responsibilities
Take ownership of the company’s project proposal dataset, tracking incoming proposals and related action items.
Build a recurring and consistent communication system with Project Managers (PMs) to review project progress.
Collate insights on the proposals by tracking and analyzing key metrics, such as success rates, repeat clients, reasons for project wins or losses.
Prepare project summaries in coordination with PMs following the company’s existing templates and guidelines.
Support Partnerships Manager in the organization and documentation of all project summaries.
Collaborate with PMs to develop project proposals and client reports using the company’s standard templates.
Maintain a categorized database of proposals and client reports.
Identifying organizations and clients for potential prequalification opportunities.
Coordinating with assistants to collect, organize, and prepare required documents for submission and follow up on the status of ongoing prequalification processes.
Conduct ongoing research on competitors and help identify partnership opportunities aligned with the company’s goals.
Monitor industry trends, conferences, and award programs relevant to the scope of work conducted by the company.
Support the identification of funding opportunities for our startup including: relevant venture capitalists, investor, incubator and accelerator programs.
Provide biweekly updates on findings and recommendations to the leadership team.
Perform in-depth, data-driven research into topics at the intersection of technology, engineering, and sustainability.
Build comprehensive datasets (such as academic literature reviews) to support research team.
Analyze data and interpret results to generate research findings.
Write clear, concise documentation of data collection and analysis methodologies.
Collaborate with designers, developers, and writers to translate findings into data visualizations (infographics, dashboards, hierarchical diagrams, etc.) and written outputs (white papers, blog posts, internal reports, and presentations).
Understand the startup’s objective and pitch ideas that align with its growth; including marketing and media opportunities.
Explore grant and investment opportunities from organizations funding sustainable construction technology.
Requirements
Bachelor’s degree in architecture, civil engineering, information science, or related field.
Proven experience in data research, analysis, and hypothesis development (including academic and market research).
Proficiency in handling and analyzing large datasets using efficient processing techniques.
Knowledge of qualitative research methods and analysis (thematic analysis, interviews, case study analysis, narrative research).
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