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Entry Level Analytics Engineer Jobs in Minnesota

Technical analysis: performing calculations, conducting data analysis, and compiling technical ... Education: bachelor's degree in civil engineering. * Software: familiarity with AutoCAD and Civil ...

Technical analysis: performing calculations, conducting data analysis, and compiling technical ... Education: bachelor's degree in civil engineering. * Software: familiarity with AutoCAD and Civil ...

Showing results 21-40

Entry Level Analytics Engineer information

What does an entry level analytics engineer do?

An Entry Level Analytics Engineer is responsible for building and maintaining data pipelines, transforming raw data into usable formats, and ensuring data quality for analysis. They work closely with data analysts and data scientists to create data models and automate data workflows, often using tools like SQL, Python, and cloud data platforms. Entry level positions focus on learning best practices, supporting senior engineers, and helping the organization make data-driven decisions by providing clean and reliable data.

What types of projects do entry level analytics engineers typically work on, and how do they collaborate with data teams?

Entry Level Analytics Engineers often assist with building and maintaining data pipelines, transforming raw data into usable formats for analysis, and developing reports or dashboards for business stakeholders. They work closely with data analysts to understand reporting needs and with data engineers to ensure data quality and efficient data flow. Collaboration is key, as they may participate in team meetings, code reviews, and documentation efforts to support broader analytics goals. This role provides hands-on experience with modern data tools while offering opportunities to learn from more senior team members.

What are the key skills and qualifications needed to thrive as an entry level analytics engineer, and why are they important?

To thrive as an Entry Level Analytics Engineer, you need a solid grounding in data analysis, SQL, and basic programming skills, often supported by a degree in computer science, statistics, or a related field. Familiarity with data modeling tools, analytics platforms like dbt, and cloud data warehouses such as Snowflake or BigQuery is typically expected. Strong problem-solving abilities, attention to detail, and effective communication are important soft skills that help bridge technical and business needs. These skills ensure accurate, actionable data insights and smooth collaboration with cross-functional teams in data-driven environments.

What is the difference between Entry Level Analytics Engineer vs Data Analyst?

AspectEntry Level Analytics EngineerData Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; some certificationsBachelor's in Statistics, Math, or related field; certifications optional
Work EnvironmentTechnical teams, data engineering projects, software toolsBusiness units, reporting, data visualization tools
Employer & Industry UsageTech companies, startups, data-driven organizationsFinance, marketing, healthcare, retail
Common Search & ComparisonYesYes

The Entry Level Analytics Engineer focuses on building data pipelines, integrating data sources, and supporting data infrastructure, often requiring programming skills. Data Analysts primarily interpret data, create reports, and visualize insights for business decisions. While both roles work with data, Analytics Engineers are more technical and infrastructure-oriented, whereas Data Analysts focus on analysis and reporting.

What are the most commonly searched types of Analytics Engineer jobs in Minnesota?

The most popular types of Analytics Engineer jobs in Minnesota are:

What are popular job titles related to Entry Level Analytics Engineer jobs in Minnesota?

For Entry Level Analytics Engineer jobs in Minnesota, the most frequently searched job titles are:

What cities in Minnesota are hiring for Entry Level Analytics Engineer jobs?

Cities in Minnesota with the most Entry Level Analytics Engineer job openings:

Infographic showing various Entry Level Analytics Engineer job openings in Minnesota as of August 2026, with employment types broken down into 100% Full Time. Highlights an 60% In-person, and 40% Remote job distribution.

Entry Level Structural Engineer

SRF Consulting Group

Minneapolis, MN โ€ข On-site

$80K/yr

Full-time

Medical, Retirement, PTO

Posted 3 days ago

New


Job description

Description:

SRF Consulting Group, Inc. creates lasting solutions to strengthen communities. SRF’s engineers, planners, and designers collaborate with our clients and their partners to ensure meaningful results for the most challenging projects and enrich everyday experiences. Our award-winning projects range from designing roadways, trails, and bridges to planning statewide transportation systems, to revitalizing neighborhoods and urban spaces. At SRF, our employee-owners help shape the culture and future of our business and our communities. As a 100 percent employee-owned company, team members share in the company’s growth and prosperity and receive stock ownership on a vesting schedule for their retirement. Our culture offers frequent companywide events, clubs, and sports teams, as well as opportunities to give back to the community. SRF also provides employees with the following:

  • 401(k) and company match plan, Comprehensive health benefits package.
  • Competitive salaries, Paid professional certifications and memberships.
  • Flex-time scheduling, Generous time-off programs, and Vacation time carry-over.
  • Multiple professional development programs.

SRF’s commitment to diversity, equity, and inclusion is a cornerstone of our culture and success. Individual differences, life experiences, and talents drive our innovation and our approach. Everyone is welcome, differences are celebrated, and horizons are limitless.


We are currently seeking an Entry Level Structural Engineer to join our growing Structures group in our Minneapolis, MN office. The position would primarily focus on in-state transportation projects but would also assist our structural team on a variety of projects throughout the Midwest. Typical projects would involve design, load ratings and/or inspection of bridges, retaining walls and culverts/tunnels.


Responsibilities:

  • Structural design and preparation of Contract Documents.
  • Construction administration and periodic field inspections.
  • Bridge inspections and load ratings with some travel required.
  • Ensure SRF’s QC/QA procedures are maintained for all work.
  • Additional duties as assigned.
Requirements:

Qualifications: 

  • Minimum B.S. in civil engineering from an accredited school with an emphasis in structural engineering; master’s degree is a plus.
  • 0 – 2 years of experience in structural engineering.
  • EIT Certification or ability to obtain within 6 months.
  • Excellent communication skills.
  • Enthusiastic and positive attitude.


Salary: $80,500


Compensation is determined by various factors, including education, experience, skills, job location, internal equity, market analysis, and specific qualifications relevant to the role.


SRF Consulting Group values diverse talent and global experience. All candidates must be authorized to work in the United States without the need for new employer visa sponsorship now or in the future.


SRF Consulting Group, Inc. is an Equal Employment Opportunity / Affirmative Action Employer. We cultivate a diverse, equitable, and inclusive environment where all individuals feel respected, acknowledged, and empowered to bring their authentic selves to work. Our diversity drives our innovation; our inclusivity drives our approach. We encourage ALL qualified people to apply.


We will not discriminate against or harass any employee or applicant for employment because of hair style or texture -race, genetic testing, military status or unfavorable discharge, citizenship or work authorization status, pregnancy, arrest/conviction and expunged or sealed convictions, color, creed, religion, national origin, sex, sexual orientation, disability, age, marital status, familial status, ancestry, gender identity or expression, status about public assistance, or any other protected class.