The role

We're hiring a Solutions Analyst to work directly with key customers to help answer pressing business needs by designing and executing large-scale geospatial analyses and summarizing results in ways that unlock critical insights. In short, Solutions Analysts deliver a world-class development and implementation experience to our incredible customers. You'll be a member of the Customer Success Engineering team — a group of subject matter technical experts tasked with developing innovative approaches to meeting our customer's needs. You will work alongside product, data science, and engineering to manage post-contract projects across our product suite.

You are passionate about our customers' experiences and will identify ways to deliver value through the implementation process. You can work against competing priorities in a fast-paced environment. You are excited by technology and eager to learn about our customers' needs and how your solutions meet their business needs.

What you'll do:

• Partner with technical project managers to understand customer needs and perform analyses to address time-sensitive questions
• Be the "tip-of-the-spear" for product development by implementing the first versions of new products that meet emerging customer needs.
• Lead the deployment of our data and analysis products across our growing customer base.
• Perform location intelligence analysis, specifically focused on problems such as hazard, community vulnerability, and infrastructure assessments.
• Present a summary of technical analyses to external clients that may include non-technical individuals. Develop documentation and polished presentations for external use.
• Configure and develop extensions to UrbanFootprint products to meet customer requirements.
• Leverage internal tools to ingest geospatial data for custom analysis for UrbanFootprint customers.
• Owning analytical problems from ideation, exploratory data analysis, and prototype through to customer delivery.

Your background most likely includes:

• 3 years of data analysis or solutions analysis experience focused on data-oriented customer deliverables.
• A BS or MS in Data Science (with emphasis on geospatial analysis), Geography, Urban Planning, Public Policy (with a strong focus on data analysis and visualization), Economics, or other similar technical fields
• Experience with Python and Python's scientific programming stack, including pandas, geopandas, and various visualization packages including map-based visualizations
• Experience with SQL, including familiarity with geospatial queries
• Experience with Github for collaborative software development 
• Experience working in cloud environments (GCP, AWS, Azure, etc.)
• Experience with Linux and shell commands
• Comfort with interactive analysis in Python (such as Jupyter Notebooks)
• Sustained attention to quality and detail, goal-oriented, and strong programming skills
• Excellent communication and collaboration skills
• Previous experience working in a consulting role or directly with external stakeholders - comfortable communicating technical concepts to non-technical audiences.
• Bonus points for government, energy, finance, or real estate domain experience
• Experience with Jira or working under an agile management framework. 

Target Salary and Bonus Compensation = $93,000 - $135,000

(Compensation is flexible based on experience; all candidates at various levels will be considered)