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Data Analyst Non Technical Jobs in Minnesota (NOW HIRING)

Our Data Analyst will play a crucial role in supporting the data and analytics needs of our ... com Non-Solicitation Notice to Recruitment Agencies: Ryan Companies kindly requests that ...

NO DEGREE REQUIRED, MANAGER IS LOOKING FOR OVERALL TECHNICAL EXPERIENCE *** Interprets results using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex ...

NO DEGREE REQUIRED, MANAGER IS LOOKING FOR OVERALL TECHNICAL EXPERIENCE *** Interprets results using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex ...

... of technical personnel in large and multi-national organizations. Over the last five years, our ... data from Act as the primary resource to educate providers on the required file standards and ...

The AI Data Analyst partners with data engineering, AI, and governance teams to assess data ... This role does not own endtoend data pipelines and is not expected to be a deep technical expert in ...

Title: SQL Data Analyst Location: Minneapolis, MN - Locals Duration: Contract to Hire Experience ... technical support to business users · Attention to detail and data accuracy Rbc client

Data Analyst Senior

Minneapolis, MN · On-site +1

$107K - $155K/yr

The Data Analyst Senior cleans up data for analysis and/or visual display in a report or dashboard ... Take on additional roles beyond technical development and client service that may include: serving ...

Job#: 3039952 Principal Data Analyst (Data Modeling) Location: Remote (100% Telecommute) Hours: 9 ... Highly technical evaluation Top 3 Priorities * Enterprise data modeling & architecture experience ...

... to data management, cleanup, and analytics. • Experience providing verbal and written recommendations in technical and non-technical terms. • Resource must have completed CJIS training and be ...

Showing results 21-40

Data Analyst Non Technical information

What is a data analyst non technical?

A Data Analyst (Non Technical) is a professional who works with data to help organizations make informed decisions, but focuses more on interpreting and presenting data rather than writing code or using advanced technical tools. They often use spreadsheets and basic data visualization software to analyze trends, prepare reports, and communicate findings to non-technical stakeholders. Their role is key in translating complex data into actionable insights that can be easily understood by decision-makers across the business.

How do data analyst non technical roles typically contribute to cross-departmental projects within an organization?

Data Analyst (Non-Technical) professionals often serve as a bridge between data teams and business units, helping translate data insights into actionable strategies for departments like marketing, sales, or operations. They work closely with stakeholders to understand their data needs, prepare reports, and communicate findings in accessible language. Collaboration is key, as they frequently participate in meetings, provide context for data trends, and ensure that different teams are aligned on objectives and outcomes. This role is ideal for those who enjoy teamwork, communication, and applying analytical thinking to solve business challenges.

What are the key skills and qualifications needed to thrive as a data analyst non technical, and why are they important?

To excel as a Data Analyst (Non-Technical), you need strong analytical thinking, attention to detail, and a solid understanding of data interpretation, usually supported by a bachelor's degree in a related field. Familiarity with Excel, basic data visualization tools, and reporting platforms is typically expected, though advanced programming is not required. Effective communication, problem-solving, and stakeholder management are vital soft skills that help translate data insights into actionable business strategies. These abilities are crucial for ensuring data-driven decisions align with organizational goals and for communicating findings clearly to non-technical audiences.

What is the difference between Data Analyst Non Technical vs Data Analyst Technical?

AspectData Analyst Non TechnicalData Analyst Technical
Required SkillsData interpretation, reporting, visualization tools (Excel, Tableau)Programming (Python, R), SQL, data modeling
CertificationsBusiness Intelligence certifications, Tableau, ExcelSQL certifications, Python/R courses
Work EnvironmentBusiness teams, reporting dashboardsData engineering teams, coding environments
Industry UsageMarketing, finance, sales analysisData science, machine learning projects

Data Analyst Non Technical roles focus on interpreting data and creating reports using visualization tools, requiring less programming knowledge. Data Analyst Technical roles involve coding, data modeling, and advanced analytics. Both roles are essential in data-driven industries but differ mainly in technical skill requirements and work environment.

Can a non-technical person become a data analyst?

Yes, a non-technical person can become a data analyst by developing skills in data visualization, basic statistical analysis, and tools like Excel or Tableau. Many roles also value strong problem-solving and communication skills, and training or certifications in data analysis can help bridge technical gaps.

Is a data analyst non technical still in demand in 2026?

Data analysts, including non-technical roles, are expected to remain in demand in 2026 due to ongoing growth in data-driven decision making across industries. Skills in data visualization tools like Tableau or Power BI and basic understanding of databases will continue to be valuable for these roles.

What other jobs can a data analyst do?

A data analyst can transition into roles such as data scientist, business analyst, data engineer, or operations analyst, leveraging skills in data visualization, statistical analysis, and tools like Excel, SQL, and Tableau. These roles often require strong analytical skills, familiarity with programming languages like Python or R, and understanding of business processes.

What cities in Minnesota are hiring for Data Analyst Non Technical jobs?

Cities in Minnesota with the most Data Analyst Non Technical job openings:

Infographic showing various Data Analyst Non Technical job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

$85K - $100K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago


Job description

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 humanresources@ryancompanies.com

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.