Data Analyst

Ryan Companies•Minneapolis, MN

6d•Onsite

About The Position

Ryan US, Inc. has an immediate career opportunity for a Data Analyst to join our team! This is an IN-OFFICE opportunity in our Minneapolis corporate headquarters. Our Data Analyst will play a crucial role in supporting the data and analytics needs of our Construction teams focusing on scheduling and field operations. In this position, you will be responsible for finding meaningful connections and insights in all levels of company data that will drive smarter business decisions. Ryan is known as an industry leader who brings a fully integrated and creative design-build approach to each new project, alongside almost 85 years of experience. We strive to be a trusted advisor to each client by providing creative, accurate, and timely solutions to the ever-changing world of commercial real estate.

Requirements

Bachelor’s degree in data analytics, data science or a business-related field of study.
3-5 years of Analyst or equivalent work experience.
Experience with data visualization tools, data querying (SQL) and data interpretation skills.
Strong communication skills, comfort with ambiguity, and the ability to learn in a fast-paced collaborative environment.

Nice To Haves

Previous experience in construction operations.
Experience with Microsoft Power BI, SQL Server and Microsoft Suite.
Experience with Google Cloud Platform
Strong analytical and problem-solving skills and attention to detail.
Knowledge of data modeling techniques and database design principles.
Possess an entrepreneurial spirit and seek out new opportunities for creativity and innovation.
Strong ability to connect new technology with the needs of the organization.

Responsibilities

Provide data analytics support for construction field operations focusing on areas like scheduling and safety across all regions and product types.
Become a subject matter expert in datasets related to scheduling and field operations.
Assist Scheduling team with scrubbing project data upon project completion for archiving.
Build, test, maintain, and train on dashboards where analysis / trends are communicated.
Organize data with the following goals in mind: accuracy, speed of access, ease of access, and flexibility.
Identify patterns or trends to support core operational decisions.
Influence existing data collection processes by recommending improvements, workflow modifications, systems, or tool enhancements to ensure quality data.
Ensure data quality and accuracy through ongoing data validation, cleansing, and enrichment activities. Includes addressing privacy and security components.
Work in a team setting and collaborate with other data analysts and technology partners.
Work closely with business leaders to understand their data analysis needs and provide insights and recommendations to inform decision-making.