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Data Mining Jobs in Minnesota (NOW HIRING)

Ztek Consulting INC

Lead Data Engineer

Minneapolis, MN · On-site

... Mining, Optimization and Simulation and Data Engineering (Snowflake, Oracle and SQL) 5 years of experience in designing data conformation from disparate data sources for data analytics 3 years of ...

Mayo Clinic

Data Science Analyst

Rochester, MN · On-site

... data mining techniques. May provide Consultative Services to departments/divisions and/or support scientific projects under the guidance of a designated senior level data scientist. Other ...

Apex Systems

Data Engineer x2

Rochester, MN · On-site

$116K - $139K/yr

Strong knowledge of SQL, including writing and troubleshooting queries for data mining. * Understanding of ETL processes, data modeling concepts, and data systems. * Deep understanding of the Globus ...

BCforward

Data Analyst

Golden Valley, MN

Interprets results using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining. Designs, develops, implements and maintains business solutions.

BCforward

Data Analyst

Golden Valley, MN · On-site

Interprets results using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining. Designs, develops, implements and maintains business solutions.

Northrop Grumman Corporation

$89K - $134K/yr

Experience with data mining, data analysis, or data visualization software applications (e.g. Tableau) * Experience with factory simulation / modeling (e.g. FlexSim) * Ability to obtain and maintain ...

Amentum

Data Scientist - Senior

Virginia, MN · On-site

Responsibilities : • Perform advanced data analytics, data mining, and statistical analysis to uncover actionable insights. • Design and develop machine learning models, including recommendation ...

RELX

Data Scientist

Minneapolis, MN · On-site

$77K - $128K/yr

The ideal candidate will bring strong expertise in data mining and analytics to deliver impactful insights and scalable solutions. Responsibilities * Build and deploy machine learning models using R ...

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Data Mining information

See Minnesota salary details

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$68.6K

$87.2K

How much do data mining jobs pay per year?

As of Jul 17, 2026, the average yearly pay for data mining in Minnesota is $68,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,900.00 and $83,200.00 per year, depending on experience, location, and employer.

What does a data miner do?

A data miner analyzes large datasets to identify patterns, trends, and useful information that can support decision-making. They use tools like SQL, Python, or specialized software to extract and interpret data, often working in environments that require strong analytical and technical skills. Data mining is essential in fields like marketing, finance, and healthcare for uncovering insights and improving strategies.

Is data mining a good career?

Data mining is a viable career that involves analyzing large datasets to extract useful information, often requiring skills in statistics, programming, and data analysis tools like SQL and Python. It is in demand across industries such as finance, healthcare, and marketing, with opportunities for growth and specialization. Success in this field typically requires continuous learning and relevant certifications.

What are some common challenges faced by professionals in Data Mining roles?

Data Mining professionals often encounter challenges such as handling large and complex datasets, ensuring data quality, and selecting the most appropriate algorithms for specific business problems. Managing diverse data sources and cleaning data to prepare it for analysis can be time-consuming and requires careful attention to detail. Collaboration with business analysts, IT staff, and subject matter experts is frequent, as understanding the business context is essential for meaningful results. Overcoming these challenges is key to delivering accurate insights and supporting strategic decisions within an organization.

What is a Data Mining job?

A Data Mining job involves extracting useful patterns, trends, and insights from large datasets using statistical, machine learning, and analytical techniques. Professionals in this field work with structured and unstructured data to help businesses make data-driven decisions. Common tasks include data preprocessing, feature selection, algorithm development, and result interpretation. They often use tools like Python, R, SQL, and data visualization software to analyze data effectively.

Is 40 too late for data science?

Data mining is a key skill in data science, and professionals can enter the field at any age. Success depends on acquiring relevant skills such as programming, statistics, and tools like SQL or Python, regardless of age, making 40 not too late to start a career in data science.

What are the key skills and qualifications needed to thrive in the Data Mining position, and why are they important?

To thrive in Data Mining, a strong background in statistics, mathematics, computer science, and data analysis is usually required, often supported by a related degree or equivalent experience. Familiarity with tools such as Python, R, SQL, and data mining platforms like Weka or RapidMiner, as well as certifications in data analytics, are highly beneficial. Strong problem-solving abilities, analytical thinking, and effective communication skills help professionals interpret complex data and share actionable insights with stakeholders. These competencies are crucial for extracting valuable information from large datasets and driving data-informed decision-making within organizations.

What are the most commonly searched types of Data Mining jobs in Minnesota? The most popular types of Data Mining jobs in Minnesota are:
What are popular job titles related to Data Mining jobs in Minnesota? For Data Mining jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Data Mining jobs in Minnesota look for? The top searched job categories for Data Mining jobs in Minnesota are:
What cities in Minnesota are hiring for Data Mining jobs? Cities in Minnesota with the most Data Mining job openings:
Data Mining jobs near you

Scientist, Microbiome Data Science & Bioinformatics

Ferring Pharmaceuticals

Roseville, MN • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Description:
Scientist, Microbiome Data Science & Bioinformatics
Summary: The Scientist (Microbiome Data Science & Bioinformatics) will translate large datasets into mechanistic and therapeutic hypotheses through omics analysis approaches and create novel analytical methods. We are looking for someone who enjoys a fast-paced environment, effectively collaborates with others, and who can apply their expertise to fuel biological discoveries and analytical advancement.
Responsibilities:
  • Lead qualitative and quantitative human microbiome research, including data mining, data analyses, and interpretation of findings from clinical trials and research studies that align with company goals
  • Create, curate and maintain datasets, databases and resources for annotation and use of complex omics data
  • Lead integrated data mining and translation of bioinformatic insights for R&D, pre-clinical and clinical initiatives
  • Conceptualize, building, test, and benchmark gold standard and novel bioinformatic methods
  • Use and improve continuous deployment models, containerization, cloud computing, and agile practices
  • Independently achieve project-specific deliverables with stakeholders (internal and external) through collaboration, requirements gathering, and timeline management
  • Contribute to publications in peer-reviewed journals, as well as any methodological innovations
  • Effectively present and defend scientific work in the form of internal and external presentations
  • Critically evaluate primary literature for design and analysis of appropriate experiments to reach timely project Go/No-Go decisions
  • Continuously learn in the fields of bioinformatics, computer science and biology including the latest methodologies, techniques, and resources

Requirements:
  • Advanced degree (e.g. MS or Ph.D.) in bioinformatics, genomics, biostatistics or related biological field
  • Minimum of one year of experience in the field of omics sciences, preferably the microbiome
  • Proficiency in developing, deploying, and running cloud-based bioinformatic workflows
  • Proven experience in Linux, AWS, coding in Python and R
  • Excellent writing, communication, and other organizational skills including documentation & data organization
  • Proven experience in statistical computing for data mining, exploratory analysis and biomarker discovery related to the microbiome or other -omes
Location:
Roseville, Minnesota

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