Data Analyst / Consultant (Fire / EMS)
Darkhorse Emergency, Edmonton / Remote +1
Overview
What we do
Darkhorse Analytics is an Edmonton-based consulting firm specializing in predictive analytics and data visualization. Our visualization team is internationally recognized for building custom interactive visualizations with a focus on impact and clarity. But our company first began with Darkhorse Emergency.
Darkhorse Emergency provides software and custom analytics for fire, EMS and police services to make data-driven decisions and better serve their communities. What began as a loose collection of Excel spreadsheets and Ph.D. thesis Matlab code has evolved into an ecosystem of database-driven web apps and best practices. We are now a fast-growing SaaS company working with clients to provide them with bespoke software and advisory services.
Darkhorse exists for two purposes: to create an impact on our clients and the community we live in, and to grow our team members. Whether you stay with us for a year or your entire career, you leave us better than you arrived, and you will make a difference here. We can't wait to see what you'll achieve.
What you’ll be doing
Work at Darkhorse Emergency is diverse and ever-changing. We implement our proprietary software and solve interesting and challenging business problems for a wide variety of fire and emergency clients. Every client is different. The interpretation of their data and unique needs requires strong analytical skills.
You will work to understand our clients' data and bring it into our proprietary software and provide them with an in-depth analysis that highlights root causes and opportunities. You will work with a team of analysts and take part in the project life cycle from start to finish, including:
- Gathering and interpreting Fire and EMS data. Our data can come from different sources, including client tools and open databases, as well as flat files. Bringing data together in our databases will be a big part of what you do here.
- Data cleaning and summary analysis. Data is rarely what you want it to be. Cleaning and understanding your inputs are the first required step in any quantitative project.
- Implementing our Darkhorse Emergency Platform. Matching clients’ unique data to the fields required for our platform is a crucial step, and requires business context as well as technical savvy.
- Validating findings and stories in the data. Do your findings pass the smell check? A mix of experience, expertise and creativity is required to validate your findings and distinguish the right signals from data errors.
- Creating stunning data visualizations. Using tools like QGIS, Jupyter Notebooks or even Excel, you will work with the data to create visually engaging visualizations and maps to clarify our findings.
- Creating succinct presentations and reports. Often times our analyses need to be translated into a report that is readable, actionable, and isn’t going to collect dust on the shelf. We believe less is more, and we take the time to make it succinct.
Nice to have
- You have experience with the Fire and Emergency Management industry, and are familiar with municipal datasets, city planning, land use zoning, etc. A strong desire to learn is also acceptable.
Pay and benefits
- Competitive salaries within a transparent salary environment
- Competitive benefits and a growth-sharing program
- Unlimited vacation
- Flexible working conditions; remote or in-person in Edmonton
- Unlimited career opportunities in a high-growth company
- The ability to make an impact and do work that matters
While we love using AI in our day to day, we would love for you to share why you are a good fit in your own words. An auto generated cover letter or answers to your questions won't make you stand out. We'd love to hear what makes you unique.
We look forward to hearing from you!
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Source: the Darkhorse Emergency Greenhouse job board. We last checked this job 3 h ago. We first saw it 3 h ago. A job on a job board does not always mean that the team interviews people now. We found this job board in a public list. We did not yet compare it with the careers page of the company.