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Data Extraction Jobs in Minnesota (NOW HIRING)

... (ETL) processes • Familiar with cloud-based data solutions, particularly Azure • Capable of handling end-to-end analytics projects from data sourcing to visualization Job Details: This role ...

Data Actuarial Analyst Senior

Bloomington, MN · On-site

$86K - $109K/yr

To work with Manager and other Actuarial team members on various projects including data investigation, data extraction, and data layouts. * Assist Actuarial team members with data integrity issues.

This role will support key data and analytics initiatives, contributing to data extraction, transformation, and reporting processes that drive strategic decision-making. Key Responsibilities: Develop ...

New

This role will support key data and analytics initiatives, contributing to data extraction, transformation, and reporting processes that drive strategic decision-making. Key Responsibilities: Develop ...

New

Data Scientist

Minneapolis, MN · On-site

$105 - $124/hr

Strong analytical skills with the ability to extract, organize, analyze, and interpret complex data sets. * Experience with: Machine Learning, Predictive Modeling, Statistical Analysis, Data ...

New

Strong analytical skills with the ability to extract, organize, analyze, and interpret complex data sets * Experience with: * Machine Learning * Predictive Modeling * Statistical Analysis * Data ...

New

Data Engineer III

Plymouth, MN · On-site

$90 - $153.30/hr

... extraction, transformation, automation, and analysis or equivalent programsProficiency in Power BI Desktop and Power BI Cloud Services or equivalent business intelligence/data visualization ...

Infrastructure Data Analytics Engineer

Hopkins, MN · On-site

$116K - $139K/yr

Data extraction * Data transformation * Data quality validation * Automation workflows * API integrations * Design and maintain Alteryx workflows for data preparation, blending, and analytics ...

Infrastructure Data Analytics Engineer

Hopkins, MN · On-site

$116K - $139K/yr

Data extraction * Data transformation * Data quality validation * Automation workflows * API integrations * Design and maintain Alteryx workflows for data preparation, blending, and analytics ...

Lead Data Engineer

Eagan, MN · Hybrid

$116K - $140K/yr

Have expert-level skills in SQL, Snowflake, DBT, for complex data extraction, manipulation, transformation, and query optimization. * Possess a deep understanding and practical experience with data ...

Senior Data Science Analyst

Rochester, MN · On-site

$87K - $110K/yr

Applies and modifies existing scripts or software applications to support data management, data extraction, data analysis, and AI as required May develop predictive models on large-scale datasets to ...

New

Data Engineer III

Minneapolis, MN · On-site

$90K - $153K/yr

Proficiency in Python and SQL for data extraction, transformation, automation, and analysis or equivalent programs * Proficiency in Power BI Desktop and Power BI Cloud Services or equivalent business ...

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Data Extraction information

See Minnesota salary details

$11

$27

$67

How much do data extraction jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for data extraction in Minnesota is $27.38, according to ZipRecruiter salary data. Most workers in this role earn between $14.71 and $30.36 per hour, depending on experience, location, and employer.

What is a data extraction?

A Data Extraction job involves collecting and retrieving data from various sources, such as databases, documents, websites, and APIs. This data is then transformed, cleaned, and structured for analysis or storage. Professionals in this role use tools like SQL, Python, or web scraping technologies to automate the process. Data extraction is essential for businesses to gain insights, make data-driven decisions, and streamline operations.

What are the typical daily responsibilities for someone working in data extraction?

Professionals in Data Extraction typically spend their days gathering data from a variety of sources—such as databases, websites, or documents—using specialized tools or scripts. They are responsible for cleaning, formatting, and validating this data to ensure accuracy and consistency before delivering it to analysts or other stakeholders. Collaborating with data analysts, IT teams, and business units is common to clarify data requirements and resolve any discrepancies. Most roles involve a mix of independent technical work and teamwork, with some positions requiring regular reporting or documentation of data extraction processes.

What are the key skills and qualifications needed to thrive in data extraction, and why are they important?

To excel in Data Extraction, candidates should have strong analytical skills, attention to detail, and a background in data management or computer science. Experience with extraction tools and programming languages such as SQL, Python, R, or ETL platforms, as well as familiarity with data governance standards, is often required. Strong organizational, problem-solving, and communication skills help professionals handle complex datasets and collaborate effectively across teams. These competencies ensure accurate, efficient data retrieval and support informed business decisions.

How to become a data extraction?

To become a data extraction specialist, develop skills in data management, programming languages like Python or SQL, and familiarity with data extraction tools such as web scrapers or ETL software. Gaining experience through relevant projects or certifications can improve job prospects, and understanding data privacy and security is also beneficial.

What job categories do people searching Data Extraction jobs in Minnesota look for?

The top searched job categories for Data Extraction jobs in Minnesota are:

Infographic showing various Data Extraction job openings in Minnesota as of August 2026, with employment types broken down into 65% Full Time, and 35% Contract. Highlights an 100% In-person job distribution, with an average salary of $56,950 per year, or $27.4 per hour.

Full-time

Posted 13 days ago


Key responsibilities

  • Design, develop, and maintain interactive Tableau dashboards for the TracKing customer-facing platform.

  • Simplify complex datasets into clear, intuitive visualizations and analytical insights.

  • Write and optimize SQL queries to support reporting and analysis needs.


Job description

Data Analyst
Notes:
Onsite Interview Required
• 6 years of experience in Data Analysis
• Strong proficiency in Tableau
• Extensive experience in building dashboards using Tableau
• Strong experience in SQL
• Knowledge of Azure platform and services (Azure Plus)
• Experience as an Analytics Engineer
• Dataset management and data pipeline development
• Demonstrates solid expertise in data visualization and dashboard creation
• Skilled in data extraction, transformation, and loading (ETL) processes
• Familiar with cloud-based data solutions, particularly Azure
• Capable of handling end-to-end analytics projects from data sourcing to visualization
Job Details:
This role requires deep experience in transforming complex datasets into intuitive, actionable insights for external customers. The ideal candidate will have strong expertise in Tableau, including relationships, LOD expressions, and advanced calculations, as well as a solid understanding of SQL and data modeling best practices. This position requires a detail oriented professional with strong analytical abilities, excellent communication skills, and a passion for delivering high quality, accurate dashboards that help customers make informed decisions
Responsibilities
• Design, develop, and maintain interactive Tableau dashboards for the TracKing customer-facing platform.
• Simplify complex datasets into clear, intuitive visualizations and analytical insights.
• Partner with stakeholders to understand reporting needs and translate them into effective dashboard solutions.
• Use advanced Tableau capabilities such as relationships, LOD expressions, parameter controls, and complex calculations.
• Write and optimize SQL queries to support reporting and analysis needs.
• Apply data modeling best practices to ensure scalable, reliable analytics.
• Validate data accuracy and ensure dashboards reflect consistent, high quality information.
• Document data sources, calculations, and dashboard logic for transparency and maintainability.
• Troubleshoot issues with dashboards, data pipelines, and data quality.
• Collaborate closely with cross-functional teams, including data engineering, product management, and customer support.
Technical Skills
• Bachelor's degree in Data Science, Computer Science, Information Systems, Business Analytics, or a related field.
• Minimum of 6 years of experience in data analysis or business intelligence roles.
• Strong proficiency with Tableau, including relationships, LOD functions, and advanced visualization techniques.
• Solid understanding of SQL and experience writing complex queries.
• Experience with data modeling concepts and best practices.
• Familiarity with ETL concepts, data integration tools, and operational data sources.
• Experience working with large datasets and optimizing queries for performance.
• Knowledge of cloud platforms (Azure, AWS, or GCP) is a plus.
• Experience with version control systems such as Git is beneficial.
Soft Skills:
• Strong problem solving and analytical thinking abilities.
• Excellent verbal and written communication skills.
• High attention to detail with a commitment to accuracy and quality.
• Ability to simplify complex concepts for non technical audiences.
• Strong collaboration skills and ability to work across teams.
• Highly organized with the ability to manage multiple priorities and deadlines.
• Proactive, self motivated, and comfortable working in a dynamic environment.

Lorven technologies logo

About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

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