drjobs Data Analyst Construction Management

Data Analyst Construction Management

Employer Active

1 Vacancy
drjobs

Job Alert

You will be updated with latest job alerts via email
Valid email field required
Send jobs
Send me jobs like this
drjobs

Job Alert

You will be updated with latest job alerts via email

Valid email field required
Send jobs
Job Location drjobs

New York City, NY - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

We are a product focused organization that dreams big and achieves those dreams. Our customers are large construction industry players and our product is used on large multi billion dollar projects as well as smaller $50M projects and programs. This is an opportunity to be part of a nimble team where every individual on the team becomes an expert in their area. We work fast iterate and create a product that impacts how our customers do work through AI.

We identified the biggest challenge in the construction industry to be data collection access and infrastructure to utilize that data to make better decisions.

This is the place for you if you have been in a combined role at the intersection of AI data analytics construction tech construction management innovative technology and looking for the next leap in your career.

This is an opportunity to join a growing company backed by Primary Ventures LDV Capital PearVC and other top investors. You will work directly with the CEO and our customers (large organizations that own and operate hospitals universities public infrastructure). You will have the opportunity to shape our data strategy by exploring different data sources datasets and running exploratory AI models and 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 to do your best you can grow into several exciting roles.

We would love it if you:

  • Have an undergraduate or Masters degree in a quantitative field (e.g. mathematics engineering statistics or similar) or construction management

  • 2 years of work experience involving quantitative data analysis and complex problem solving (prioritizing candidates with experience within the construction industry)

  • Proficiency in SQL Python along with experience with Quicksight PowerBI Tableau Jupyter Notebook or data visualization and exploration tools.

  • 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 are curios and a great listener

  • Enjoy working with customers and find data driven ways to support their decision making

You would love your job if you:

  • Are customer obsessed and love helping people apply AI in their workflow

  • 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 will change the construction industry

  • Love working with different teams and helping them solve problems

  • Want to grow your career into customer success data analytics data science and machine learning

What youll be doing:

  • Understanding customer decisions and data that could help impact those decisions

  • Understanding data structures for different construction systems or public data sources

  • Set up customer dashboards reconfiguring business processes in customer systems or running white board sessions to understand customers use of data

  • 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

  • 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

We recognize you as an early joiner by:

  • Competitive compensation

  • Flexible paid time off

  • Medical Dental and Vision benefits

  • Flexible career path

  • Direct influence on our product and company roadmap

About the Company

Gryps is a NYCbased VCbacked early stage startup on a path to revolutionize the $10T construction industry by changing the way that data/knowledge is consumed by construction decision makers.

Our Robotic Processing Automation & AI powered platform sets Gryps apart by automatically ingesting understanding and augmenting construction data enabling us to deliver actionable insights through intelligent applications. Our products have transformed the operations of top hospitals and developers by streamlining construction processes.

At Gryps we believe in fostering a culture of innovation where brilliant minds collaborate to solve complex challenges. Our diverse team of talented engineers and industry experts is the driving force behind our continuous pursuit of excellence.

With an ambitious product roadmap and fresh funding to fuel our growth Gryps is poised to transform the construction industry. To achieve this vision we are seeking exceptional engineers who can join our dynamic team and bring our revolutionary ideas to life. Join Gryps today and be a part of reshaping a $10T industry!


Required Experience:

IC

Employment Type

Full-Time

Company Industry

About Company

Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.