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Data Analytics Engineer Jobs in Minneapolis, MN (NOW HIRING)

Data Analytics Engineer

Edina, MN · On-site

$115K - $165K/yr

We are seeking an Analytics Engineer to drive the development and day-to-day operations on our data and analytics team. This is an execution-focused role within a lean data team, responsible for ...

New

Infrastructure Data Analytics Engineer

Hopkins, MN · On-site

$116K - $139K/yr

The Infrastructure Data Analytics Engineer is responsible for acquiring, transforming, integrating, and analyzing data from infrastructure, platform, cloud, and enterprise technology systems. This ...

New

Join our team as a Principal Analytics Engineer! This is a fixed hybrid role on-site Tuesday ... This role is responsible for building the trusted data foundations that power business decision ...

Manage a team of Data Analysts and Engineers * Hire, develop, and mentor analytics talent toward emerging leadership roles * Foster a culture of analytics excellence and establish team standards for ...

Migrate core data infrastructure from legacy systems to modern platforms, supporting the business ... engineering, BI, or analytics delivery roles * Proven experience delivering production data and ...

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Showing results 1-20

Data Analytics Engineer information

See Minneapolis, MN salary details

$46.4K

$135.4K

$185.3K

How much do data analytics engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for data analytics engineer in Minneapolis, MN is $135,398.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,500.00 and $143,500.00 per year, depending on experience, location, and employer.

How do data analytics engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

What are the key skills and qualifications needed to thrive as a data analytics engineer, and why are they important?

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

What is the difference between Data Analytics Engineer vs Data Scientist?

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What are the most commonly searched types of Data Analytics Engineer jobs in Minneapolis, MN? The most popular types of Data Analytics Engineer jobs in Minneapolis, MN are:
What are popular job titles related to Data Analytics Engineer jobs in Minneapolis, MN? For Data Analytics Engineer jobs in Minneapolis, MN, the most frequently searched job titles are:
What job categories do people searching Data Analytics Engineer jobs in Minneapolis, MN look for? The top searched job categories for Data Analytics Engineer jobs in Minneapolis, MN are:
What cities near Minneapolis, MN are hiring for Data Analytics Engineer jobs? Cities near Minneapolis, MN with the most Data Analytics Engineer job openings:
Infographic showing various Data Analytics Engineer job openings in Minneapolis, MN as of August 2026, with employment types broken down into 79% Full Time, and 21% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $135,398 per year, or $65.1 per hour.

Data Analytics Engineer

Evereve Incorporated

Edina, MN • On-site

$115K - $165K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 2 days ago

New


Evereve rating

8.2

Company rating: 8.2 out of 10

Based on 6 frontline employees who took The Breakroom Quiz


Job description

Description

EVEREVE inspires women to move forward in their fashion and in their lives by offering modern, curated pieces-along with expert styling-to ensure women feel confidently put together. Our 100+ stores, booming e-commerce business and a fast-growing subscription box service, Trendsend, reach over one million customers every year.
 

Living our core values and treating everyone with HEART (humility, empathy, authenticity, relationships, tenacity) creates a shared purpose and collaborative community-and it's also a key part of our success. Join our team to help shape the future of an ever-growing, ever-evolving brand!

__________________________________________________________________________________


About the Role:

We are seeking an Analytics Engineer to drive the development and day-to-day operations on our data and analytics team. This is an execution-focused role within a lean data team, responsible for building, debugging, and maintaining the tools that deliver data to our stakeholders. 

The ideal candidate is a highly proficient practitioner who thrives on building and maintaining the "full stack" of BI. You will be responsible for writing and troubleshooting Python-based ETL/ELT pipelines, developing complex logic within SQL Server, and creating the end-user reports that power our business. We need someone who enjoys all stages of data including cleaning it, moving it, and visualizing it with a high degree of accuracy and reliability.


Key Responsibilities:

  • SQL Server Development & Administration
    • Develop, optimize, and maintain complex SQL Server queries, stored procedures, and functions in production environments.
    • Perform regular database tuning, troubleshooting, and query optimization, prioritizing stability and performance for reporting infrastructure.
  • ETL/ELT Development
    • Develop Python scripts to extract data from various sources and load it into our environment.
    • Monitor existing ETL/ELT processes to ensure data is flowing correctly and resolve any pipeline failures promptly.
  • Reporting & Visualization
    • Design, develop, and maintain SSRS reports and Power BI dashboards to meet stakeholder requirements.
    • Ensure data models are optimized for performance and usability.
  • BI Systems Analysis & Support
    • Provide tier-2/3 support for BI tools and environments, including issue triage and resolution.
    • Partner with business stakeholders to document data requirements and ensure solutions align with operational and strategic goals.
  • Data Governance & Quality
    • Implement data validation, auditing, and reconciliation processes to ensure integrity of reporting outputs.
    • Support governance initiatives for consistent and accurate data across platforms.

Requirements

  • Bachelor's degree in computer science, Information Systems, Mathematics or related field (or equivalent work experience).
  • 5+ years of experience as a BI Developer, Database Developer, or similar role.
  • 2+ years of experience supporting production-grade      python ETL processes.
  • Strong proficiency with SQL Server (including stored procedures, functions, triggers, and performance tuning).
  • Proven experience with SSRS and Power BI, including DAX and Power Query.
  • Experience supporting production environments and snapshot reporting databases.
  • Strong analytical and problem-solving skills with attention to detail.
  • Excellent communication and documentation skills to interface with technical and non-technical stakeholders.

Preferred Qualifications:

  • Knowledge of data warehousing concepts and dimensional modeling.
  • Familiarity with version control systems (e.g., Git).
  • Familiarity with JIRA and agile methodologies
  • Background in business or systems analysis, with proven ability to translate business requirements into technical solutions.
  • Experience with retail and NetSuite Data Model 

Key Competencies:

  • Self-starter and curiosity to dig in and learn 
  • Strong collaboration and cross-functional communication skills.
  • Ability to prioritize and manage multiple tasks in a fast-paced environment.
  • Proactive, detail-oriented, and committed to delivering high-quality solutions.

EVEREVE Benefits and Perks: 

  • Self-Managed PTO: Time off is yours to plan and use as you need it
  • Affordable Health Insurance: 80% employer-paid premiums for medical and dental for team members; 50% covered for eligible partners, spouses and dependents
  • Parental Leave: Generous paid leave benefits for maternity, paternity and adoption to enjoy time with your growing family
  • Flex Spending Accounts: Benefit from pre-tax savings for out-of-pocket healthcare or dependent/daycare costs
  • Additional Insurance: Company paid life insurance and short- and long-term disability 
  • 401k +5% Match. Contribute to your financial future and receive a 5% company match with immediate vesting upon eligibility
  • Fashion Discount: Enjoy a 30% discount on all EVEREVE product when you shop in our stores
  •  Culture of Purpose: Experience a culture of purpose rooted in our HEART Values - Humility, Empathy, Authenticity, Relationship and Tenacity

What Evereve employees say

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