YOUR MISSION: You are instrumental in providing operational and strategic analyses that will improve our roadside assistance platform. You will gather business requirements and provide a variety of curated data sets, metrics and reports to identify areas of improvement and monitor performance of our partner programs. You will build sustainable and scalable reports for our internal and external stakeholders.
YOUR LEGACY: As an expert in our proprietary data, you developed a self-sustaining reporting system for our call center, network operational, finance and product teams. You supported new product enhancements, identified areas for cost reductions and provided important new market roadside pricing for potential new customers. You have added both technical and business expertise within the BI team. The result? You helped Urgently become the world’s leading mobility assistance company.
WHAT YOU’LL BE RESPONSIBLE FOR:
Develop reports and dashboards in Excel, Tableau, Sigma Computing and other data visualization and analytic tools.
Become well versed on the data tables / data in our production environment (raw data) and reporting database. Be able to independently pull data (e.g., leveraging SQL, Python) and advise Senior Business Leaders on ideal approaches to reporting and analyses.
Build pricing models around key assumptions and dynamic inputs, clearly structuring all cost and revenue items to meet the demands and templates of large-scale Requests for Proposal (RFPs).
Build operational metrics to gauge team effectiveness & financial metrics to show P&L by business groups
Design and build sustainable metrics with performance in mind by creating new database views and tables to support downstream analytics
Leverage the analytic products that you build to generate insights and recommend strategies and tactics on how to improve the business.
Develop strong, collaborative relationships with key business leaders from around Urgently, so that they are able to reach out to you for reporting and analytic support and guidance
WHO YOU ARE:
You have a bachelor's degree (Masters preferred) in a related quantitative field (STEM, economics, social sciences, humanities, finance, analytics or related field). You have 2+ years of experience in big data and analytics, including advanced knowledge of SQL, Python, Microsoft Office Suite (particularly Excel) and substantial exposure to one or more data visualization tools (e.g., Tableau, Sigma Computing). You have worked in optimizing queries for performance and in cloud technologies such as AWS.
You are data-driven and exceedingly practical mindset; directs analyses to generate insights to solve business problems. You have exposure to building program pricing models to meet the demands of RFPs. You have an understanding of hypothesis-driven research and the fundamentals of business and finance. Your insatiable curiosity helps you understand the key drivers behind trends and business problems within the roadside assistance industry (prior transportation or related industry experience preferred). You have a learning mindset and always want to get under the hood in everything you do.
You have a strong desire to learn the “ins and outs” of what makes the Urgently business model work. You are articulate and can comfortably present work and key findings to senior business leaders. You can effectively communicate complex insights simply. You have a positive outlook. You are self-aware and energetic, able to take constructive feedback, and have an open dialogue around optimal approaches to business problems. You are decision-oriented; capable of making decisions with incomplete or imperfect information.
You have a deep respect for diversity of thoughts, approaches, and backgrounds. You have a strong desire to learn, to be coached, and a desire to coach others over time. You are a good listener, open-minded to other ideas, and a great collaborator.
You have measured A/B experiments and can evaluate its effectiveness with data analysis. You have guided business stakeholders to understand the financial/improvement impact of their projects or experiments.
Preferred Skills:
- Prior experience with forecasting, data modeling, and ETL processes.
- Familiarity with machine learning and AI in the context of BI.
- Advanced degree in a relevant field.
THE NITTY GRITTY:
Location = Great news! This position is remote and you have the option of working from anywhere in the U.S.!
Manager = You’ll report to Manager of Business Intelligence
Compensation = The base salary range for this position is $90,000 - $100,000. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by job-related skills, experience, and relevant education or training.
Benefits = At Urgently, we have awesome benefits! We provide short term disability, long term disability, and life insurance to you - all free of charge! We also offer three different medical plans to choose from, two dental plans , a vision plan, and other valuable benefits. You’ll have 12 holidays off and unlimited paid time off. We match 100% on the first 3% you contribute to our 401(k)and then 50% of the next 2% you contribute. So, if you contribute 5% of your paycheck, we’ll match 4% of that. Free money!
Top Skills
What We Do
Urgently is the leading Smart Mobility Assistance™ Platform at the center of the expanding mobility and connected assistance ecosystem. We deliver mobility assistance services through a seamless, end-to-end digital platform, viewable by every stakeholder – motorist, service provider, enterprise partners, and Urgently support teams – in real time. We have already transformed the roadside assistance ecosystem into one that is digitally connected, measured, managed and rated. Now, we are redefining the concept of assistance to encompass smart mobility services that will truly enhance the vehicle ownership experience. Urgently is the choice of leading global brands trusted by millions of consumers across automotive, insurance, telematics and new mobility companies in North America, Europe, Asia and Australia.








