IntePros
Overview
Data Analyst I – Geospatial & Competitive Insights
We are seeking a Data Analyst to perform geospatial and competitive bid analysis, providing insights that inform strategic decision-making. This role involves analyzing bid locations, creating summary statistics, and developing dashboards to track performance metrics. You will work with geospatial datasets, automation scripts, and state-specific formatting requirements to produce accurate, actionable outputs for the business.
Responsibilities
- Conduct map-based analysis to inform bidding strategies, including data review, Python scripting, and statistical summaries.
- Analyze locations bid and won, including competitive bid trends and insights.
- Combine geospatial data with reference tables to create meaningful, actionable reports.
- Design and maintain dashboards/visualizations for BEAD location statistics.
- Generate specification files using automated scripts, ensuring compliance with state-required formatting standards.
Top Required Skills
- Analytical & Modeling Skills – Ability to perform data analysis, create forecasts, and solve business problems using structured approaches.
- Python – Basic scripting for automation, data transformation, and analysis.
- Excel – Proficiency in advanced formulas, pivot tables, and data organization.
Skills & Experience Required
- Undergraduate degree in business, finance, engineering, or a related field (Graduate degree preferred).
- 0–3 years of experience in data analysis, business forecasting, or a related role.
- Experience in building and managing financial models for forecasting and variance analysis.
- Basic Python knowledge; SQL experience preferred.
- Strong written and verbal communication skills.
- Highly detail-oriented, with the ability to prioritize and adapt in a dynamic environment.
Work Environment & Structure
- Collaborative team environment with opportunities to work independently on analytical projects.
- Mix of technical analysis, reporting, and stakeholder communication.
- Exposure to high-impact strategic initiatives through data-driven decision-making.