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Dbt Analytics Jobs in Minnesota (NOW HIRING)

Cretex Companies, Inc.

IT-Analytics Engineer

Brooklyn Park, MN · On-site

$119K - $143K/yr

Snowflake, Snowflake AI/Cortex, DBT, Matillion, Dimensional Modeling, Data Vault 2.0, GitHub/CI-CD ... Analyze and optimize Snowflake compute utilization, data processing performance, and SQL query ...

Cretex Companies, Inc.

IT-Analytics Engineer

Brooklyn Park, MN · On-site

$119K - $143K/yr

Snowflake, Snowflake AI/Cortex, DBT, Matillion, Dimensional Modeling, Data Vault 2.0, GitHub/CI-CD ... Analyze and optimize Snowflake compute utilization, data processing performance, and SQL query ...

Socket.dev

Senior Community Manager

Virginia, MN · On-site

$130 - $163/hr

Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable ...

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Dbt Analytics information

See Minnesota salary details

$36.7K

$62.6K

$90.1K

How much do dbt analytics jobs pay per year?

As of Aug 26, 2026, the average yearly pay for dbt analytics in Minnesota is $62,588.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,900.00 and $69,500.00 per year, depending on experience, location, and employer.

What is a dbt analytics?

A dbt Analytics job typically refers to a role focused on using dbt (data build tool) to transform, test, and document data within a data warehouse. Professionals in this field design and manage data models, write SQL-based transformations, and ensure data quality for analytics purposes. They collaborate with data engineers and analysts to build efficient, maintainable workflows that support business intelligence and data-driven decision-making. dbt Analytics jobs require strong SQL skills, familiarity with modern data stack tools, and an understanding of data modeling best practices.

What are the key skills and qualifications needed to thrive as a dbt analytics professional?

To thrive as a DBT Analytics professional, you need strong SQL skills, a solid understanding of data modeling, and experience with analytics engineering, typically backed by a degree in a quantitative field. Familiarity with the DBT (Data Build Tool) platform, cloud data warehouses like Snowflake or BigQuery, and version control systems such as Git is essential. Attention to detail, problem-solving abilities, and effective communication help you collaborate with stakeholders and ensure data reliability. These skills and tools are crucial for transforming raw data into actionable insights and maintaining robust, scalable analytics infrastructure.

How does a dbt analytics professional typically collaborate with data engineers and analysts within a team?

Dbt Analytics professionals play a key role in bridging the work of data engineers and data analysts. They transform raw data into clean, well-documented, and analysis-ready datasets using dbt (data build tool), ensuring consistency and reliability. Collaboration often involves working closely with data engineers to understand data sources and pipelines, while also partnering with analysts to tailor data models to business needs. Effective communication and regular feedback loops are crucial, as dbt professionals often serve as the link between technical data infrastructure and business-facing analysis.

What is the difference between Dbt Analytics vs Data Analyst?

AspectDbt AnalyticsData Analyst
Required CredentialsSQL, data modeling, analytics certificationsStatistics, Excel, SQL, sometimes certifications
Work EnvironmentData teams, analytics platforms, cloud environmentsBusiness units, reporting tools, spreadsheets
Industry UsageData transformation, modeling, analytics pipelinesData interpretation, reporting, insights

While Dbt Analytics focuses on transforming and modeling data within analytics workflows, Data Analysts primarily interpret data and generate reports. Both roles require SQL skills and work closely with data teams, but Dbt Analytics emphasizes data transformation using tools like dbt, whereas Data Analysts focus on analyzing and communicating insights.

Is dbt in demand?

Dbt analytics engineers are increasingly in demand as organizations adopt modern data transformation tools to improve data workflows. Skills in SQL, data modeling, and familiarity with cloud platforms enhance job prospects in this field, which is growing alongside the broader data analytics industry.

What are popular job titles related to Dbt Analytics jobs in Minnesota?

For Dbt Analytics jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Dbt Analytics jobs in Minnesota look for?

The top searched job categories for Dbt Analytics jobs in Minnesota are:

What cities in Minnesota are hiring for Dbt Analytics jobs?

Cities in Minnesota with the most Dbt Analytics job openings:

Dbt Analytics jobs near you
Infographic showing various Dbt Analytics job openings in Minnesota as of August 2026, with employment types broken down into 1% Internship, 92% Full Time, 3% Part Time, and 4% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $62,588 per year, or $30.1 per hour.

Manager Data Analytics (SQL,DBT)

Expert Technology Services

Eden Prairie, MN • On-site

Contractor

Posted 14 days ago

Job description

Job Summary (List Format):
- Develop data models for multiple case management programs to provide data extracts for finance team partners
- Build and maintain dashboards for tracking and monitoring new processes
- Collaborate with three internal development teams to gather process logic
- Work closely with the finance team to deliver required data sets
- Independently drive project progress while effectively coordinating with multiple partner teams
- Utilize SQL (5+ years), DBT (2+ years), Snowflake (2+ years), and Power BI (2+ years)
- Alteryx experience considered a plus, but not required
- Healthcare data support experience preferred, but not mandatory
- Work hours are 8-4 Central Time (flexible, M-F); position may extend through Q1 2027
- Remote/telecommute work is acceptable
- Interview conducted via Microsoft Teams video call
- No background check or drug screening required