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Entry Level Analytics Engineer Jobs in Minneapolis, MN

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

New

Supplier Quality Engineer

Anoka, MN ยท On-site

$65K - $85K/yr

We are seeking an Entry-Level to Experienced candidate to become an integral part of our clients ... Support fit-ups and complete root cause analysis for fit-up issues on supplier parts. Requirements

This entry-level engineering role will have a strong emphasis on system-level testing and ... Collect, process, analyze, and document test data to evaluate system performance. * Identify ...

Engineer I, Manufacturing Engineering Entegris is growing and seeking an entry-level Manufacturing ... Develop ROI analyses and manage equipment upgrades, tooling, and fixture design to improve ...

Provide guidance and assistance to entry-level professionals or support staff in related technical ... Strong analytical and problem-solving skills, with the ability to assess equipment performance and ...

Engineer I, Manufacturing Engineering Entegris is growing and seeking an entry-level Manufacturing ... Develop ROI analyses and manage equipment upgrades, tooling, and fixture design to improve ...

Showing results 21-40

Entry Level Analytics Engineer information

See Minneapolis, MN salary details

$42.3K

$90.2K

$148.7K

How much do entry level analytics engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for entry level analytics engineer in Minneapolis, MN is $90,164.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,800.00 and $108,000.00 per year, depending on experience, location, and employer.

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 Minneapolis, MN?

The most popular types of Analytics Engineer jobs in Minneapolis, MN are:

Infographic showing various Entry Level Analytics Engineer job openings in Minneapolis, MN as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $90,164 per year, or $43.3 per hour.

Data Analyst/Python Programmer - Remote

SynergisticIT

Minneapolis, MN โ€ข On-site

Other

Posted 10 days ago


Job description

Entry-Level Data Analyst โ€” Start Your Career in Data With Practical Skills Data analyst roles are attractive because they sit at the intersection of business, technology, and decision-making. But entry-level data roles are also competitive. Employers want candidates who can write SQL queries, clean data, build dashboards, understand business metrics, and communicate insights clearly. A degree or certificate may help, but it is often not enough by itself. SynergisticIT is looking for candidates interested in data analytics, SQL, Python, Excel, Power BI, Tableau, business reporting, data visualization, and dashboard development. This role is well-suited for recent graduates, career changers, and candidates who enjoy solving problems with data. Since 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor's or Master's programs Those struggling to land interviews despite having experience please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ Please check below links: Synergisticit Industry Event videos (OCW, JavaOne, Gartner data Analytics): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Explore JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ SynergisticIT JOPP is good for aspiring data analysts because it focuses on job readiness, not just learning tools. Candidates can strengthen their technical stack, build portfolio-style projects, improve resume keywords, and prepare for interviews where they may need to explain SQL logic, dashboards, data-cleaning decisions, and business impact. If you are ready to turn your interest in data into a career path, Contact us Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.