Jobs Companies Ryan Companies Data Analyst

Sobre esta vaga de Data Analyst na Ryan Companies

Ryan Companies · Presencial · Minneapolis

Job Description:

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.

 
Some things you can expect to do: 

  • 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. 

Some things we expect you to have:

  • 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. 


You will really stand out if you: 

  • Have previous experience in construction operations.

  • Have experience with Microsoft Power BI, SQL Server and Microsoft Suite. 

  • Have experience with Google Cloud Platform

  • Have 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. 

  • Have a strong ability to connect new technology with the needs of the organization.

Compensation:

The annual base pay range is $85,000 to $100,000. The base rate may vary within the anticipated range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills and abilities. Position may be eligible for additional compensation that may include commission and/or an incentive program.

 

Eligibility:

Position requires verification of employment to work in the U.S.

Benefits:

  • Competitive Salary

  • Medical, Dental and Vision Benefits

  • Retirement and Savings Benefits

  • Flexible Spending and Health Savings Accounts

  • Life Insurance

  • Short-Term and Long-Term Disability

  • Educational Assistance

  • Paid Time Off (PTO)

  • Employee Assistance and Wellness Programs

  • Parenting Benefits

  • Employee Discount Programs

  • Pet insurance

  • Ryan Foundation – charitable matching funds

  • Paid Time for Volunteer Events

 

Disclaimer: Eligibility may vary based on factors such as role, hours worked, employment status, length of service, location, and other considerations. Detailed information will be shared with eligible candidates during the hiring process, and the official terms and conditions will be outlined in each individual offer document.

Ryan Companies is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.


Notice to Candidates:

Please be advised that initial outreach regarding employment at Ryan Companies will only occur via email from the domain @ryancompanies.com email address. If you recieve communication from someone you believe is impersonating Ryan Companies, please report it to us at [email protected]

Non-Solicitation Notice to Recruitment Agencies:

Ryan Companies kindly requests that recruitment agencies and third-party recruiters do not submit unsolicited resumes or candidate information to any Ryan Companies employee or office. Ryan Companies will not be responsible for any fees or expenses associated with unsolicited submissions. If recruitment services are required, we will reach out directly to agencies on our approved vendor list. We appreciate your understanding and cooperation.

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Como este salário de Data Analyst se compara

Esta vaga paga $92,500/yrabaixo da faixa típica para vagas de Data Analyst.

$79,800 a mediana $102,900 $125,850

Faixa típica $93,813–$117,128/yr, com base em 18 vagas de Data Analyst comparáveis na JobsRadar (pagamento anualizado em USD). Ver insights salariais de Data Analyst →

Sobre a Ryan Companies

Ryan Companies US, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, ethnicity, sex, sexual orientation, gender identity, gender expression, genetic information, national origin, ancestry, protected veteran or disability status, age, or any other characteristic protected by law. View your Know your Rights poster If we can help accommodate a disability during any portion of the application or hiring process, please email [email protected]. Reasonable accommodations will be determined on a case-by-case basis.

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