Senior Preconstruction Data Analyst

Ryan Companies US, Inc.•Phoenix, AZ

1d•Onsite

About The Position

Ryan Companies US, Inc. is seeking a Senior Preconstruction Data Analyst to join our team. This full-time position is responsible for organizing cost data, maintaining preconstruction databases, and creating data models. The role involves analyzing existing data sets to identify patterns, trends, and risks that impact decision-making. Findings will be communicated through dashboards, reports, written analysis, or presentations. The Senior Preconstruction Data Analyst will also support and align the efforts of analysts across different departments, manage internal customer requests, prioritize data projects based on company impact, data readiness, and effort, and establish the foundation for predictive cost modeling using internal and external data sources. The position requires up to 5% domestic/international travel.

Requirements

Requires a Master’s degree in Business Analytics, or a closely related field and 36 months of experience in any occupation in which the required experience was gained.
3 years (36 months) of experience with process of design, fabrication, and construction for complex data projects
3 years (36 months) of experience with construction segmentations such as market sector, procurement method, or contract type
3 years (36 months) of experience with business process associated with Destini Estimator, Microsoft Dynamics, Procore, and BuildingConnect
3 years (36 months) of experience utilizing all of the following tools/technologies: PowerBI, SQL, Microsoft SQL Server Management Studio, Python, and R

Responsibilities

Organize cost data for use by subject matter experts
Own the maintenance of preconstruction databases and the creation of data models in accordance with internal data standards
Analyze existing data sets to find patterns, trends or risk that influence decision making
Communicate findings through dashboarding, reporting, written analysis or presentation
Support and align efforts of analysts across different departments
Manage internal customer requests, prioritize data projects in alignment with company impact, data readiness and level of effort
Create the foundation for predictive cost modeling based on internal and external data sources