Data Analyst

About Aurigo

Aurigo is an American technology company founded in 2003 with a mission to help public sector agencies and facility owners plan, deliver and maintain their capital projects and assets safely and efficiently. With more than $300 billion of capital programs under management, Aurigo’s award-winning software solutions are trusted by over 300 customers in transportation, water and utilities, healthcare, higher education, and government on over 40,000 projects across North America. We are a privately held corporation headquartered in Austin, Texas, USA, with software development and support centers in Canada and India. We are proud to be Great Place to Work Certified three times in a row. If you are ready to work for a fast-paced software company growing exponentially and interact with some of the brightest minds in the industry to solve real problems, we want to talk to you.

Description:

In this role, you will work on a variety of projects in a highly collaborative, fast paced environment. You will be responsible for analyzing the data and gathering insights to solve real world customer problems. You will be working on enhancing our award-winning flagship product suite Aurigo Masterworks. We are looking for energetic, self-driven, thinking team players to join our success story.

Requirements:

• 3-5 years of experience in data analysis, business statistics, and product analytics.
• Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, or a related field. Master's degree is a plus.
• Proficiency in data manipulation and analysis using tools such as SQL, Python, or R.
• Knowledge of statistical analysis techniques.
• Familiarity with machine learning concepts
• Strong analytical and problem-solving skills with a keen attention to detail.
• Experience with data visualization tools (e.g., Tableau, Power BI) is desirable.
• Experience with data warehousing and ETL processes.
• Excellent communication and presentation skills.
• Basic knowledge in building machine learning models and taking them to deployment.
• Ability to disambiguate loosely defined business and product problems and create a roadmap for analysis and experimentation.

Competencies