Pay Range
Annually:
$80,000 - $120,000
Equity:
0 -0.5 %
Description
About the job
Are you looking to join an exciting small company that works on huge projects? are you looking for an opportunity to shape the company's product growth? Do you have thoughts on how the construction industry can better access information? Have you witnessed the data silos in construction and how they impact project performance?
This is an opportunity to join a growing company backed by LDV Capital, PearVC and other top investors. You will work directly with the CEO, CTO and our customers (large organizations in New York City). You will have the opportunity to shape our data strategy by exploring different data sources, datasets and running exploratory analytics to support customer decisions.
This is a unique opportunity to get in at an early stage and shape your career with Gryps. Depending on your skillset, ability to learn and commitment, you can grow into several exciting roles.
We would love it if you:
Have an undergraduate or Master’s degree in a quantitative field (e.g. mathematics, engineering, statistics, or similar)
2+ years of work experience involving quantitative data analysis and complex problem solving (preferred if within a construction project context)
Proficiency in SQL, Python, along with experience with Quicksight, PowerBI, Tableau, Jupyter Notebook or data visualization and exploration tools.
Knowledge of ETL pipelines, scheduling and productionizing
Experience working with APIs to ingest data from construction systems
Excited about disrupting the construction industry with technology
Fast learner or have a deep understanding of technology systems in the construction industry
Love working with data to uncover patterns and insights
Have great interpersonal and communication skills and are a great listener
You would love your job if you:
Are looking to join a small team and grow with it
Get excited by creating new processes, working with data and innovating on data applications
Are intrigued by how AI and RPA can and will change the construction industry
Love working with different teams and helping them solve problems
Want to grow your career into data analytics, data science and machine learning
What you'll be doing:
Spend time understanding data structures for different construction systems or public data sources
Identify and pitch the team on potential data sources that would support customers in making decisions
Document data workflows, data policies, standards, and procedures for customer systems
Create and update pipeline documentation, including data structures, relationships, and source system information
Set up customer dashboards, reconfiguring business processes in customer systems or running white board sessions to understand customer’s use of data
Develop or run advanced descriptive, predictive and prescriptive analytics using jupyter notebook and Python
Gather feedback from customers on Gryps current use cases and identify potential use cases
