Data Analyst

Arsenault is on a mission to make housing fair, affordable and efficient for millions of renters. Our multi-patented platform leverages cutting edge machine learning and big data to provide software tools to investors and lenders to rental housing. Through relentless efficiency gains, our users add millions of dollars in gains to their businesses. But in doing so, they create vital housing at fair prices, build and lease faster, lend cheaper and help thousands of renters find happy homes and communities. Better information builds an efficient market, and every day, Arsenault makes that a reality.

Our team represents 7 of the top-20 universities in the world and is spread across 9 countries and 4 continents - one singular mission.

As our future colleague,

You will be an analyst. You can transform noisy real-world data into high-signal models that stand the test of time.

You will be a storyteller. You will communicate your insights in a way that resonates with your partners including Arsenaults leadership to turn theory into action.

You will be an entrepreneur. You will come to understand the nature of how real estate operates, and strive to make housing fair, transparent and affordable.

A Arsenault day for you, could mean

• Having thoughtful discussions with Product Manager and Data Science to understand Customers data requirements.
• Perform daily analysis on our internal data to identify patterns and trends;
• Develop and support various data analysis initiatives related to the automatic generation of maps;
• Design and create dashboards for internal use such as visualization of production KPIs, Tech productivity, financial data, etc;
• Storytelling of results and ideas to customers and users; data can transform opinions
  
  

Requirements

• 3+ years of working experience as a data analyst
• Experience in MS Excel, PowerBI or similar
• Strong analytical and problem-solving skills;
• Knowledge of BI tooling such as Tableau or others;
• Ability to present information in a variety of forms, including documents, spreadsheets, presentations, and diagrams.
• It would be nice if you also have:
• SQL, Python
• Interest in spatial data and finance
  
  

Benefits

• A career trajectory you can own
• Training & Development
• Work From Home (fully remote possible)
• Leave Package