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Data Analyst Data Science Jobs in Detroit Lakes, MN

Analyze business processes and data to identify opportunities for simplification, automation, and efficiency gains. Coordinate with AI, Development, IT, Compliance, Quality, and operational teams to ...

Analyze business processes and data to identify opportunities for simplification, automation, and efficiency gains. * Coordinate with AI, Development, IT, Compliance, Quality, and operational teams ...

Analyze business processes and data to identify opportunities for simplification, automation, and efficiency gains. * Coordinate with AI, Development, IT, Compliance, Quality, and operational teams ...

Academic Paraprofessional

Perham, MN · On-site

$15 - $19.50/hr

... science, art, health, physical education, and music. * C onducts ongoing assessment of student ... K nowledge of data information systems, data analysis and the formulation of action plans. * K ...

In this role, you will partner with the Survey Crew Chief to support field data collection and ... Associate of Science degree in Surveying or equivalent preferred, but not required * Land Surveyor ...

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Showing results 1-20

Data Analyst Data Science information

See Detroit Lakes, MN salary details

$33.2K

$80.7K

$132.8K

How much do data analyst data science jobs pay per year?

As of Aug 27, 2026, the average yearly pay for data analyst data science in Detroit Lakes, MN is $80,719.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,000.00 and $94,700.00 per year, depending on experience, location, and employer.

What does a data analyst in data science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

What are the key skills and qualifications needed to thrive as a data analyst in data science?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.

How do data analysts in data science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What is the difference between Data Analyst Data Science vs Data Engineer?

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

What cities near Detroit Lakes, MN are hiring for Data Analyst Data Science jobs?

Cities near Detroit Lakes, MN with the most Data Analyst Data Science job openings:

Laboratory Analyst - RMB Environmental Laboratories - Detroit Lakes, MN Lab

RMB Environmental Laboratories, INC

Detroit Lakes, MN • On-site

Full-time

Re-posted 27 days ago


Job description

RMB ENVIRONMENTAL LABORATORIES

JOB DESCRIPTION

Laboratory Analyst

DEPARTMENT:

Laboratory

EXEMPTION STATUS:

Non-exempt / Hourly

REPORTS TO:

Laboratory Manager

POSITION LOCATION:

Detroit Lakes, MN

POSITION STATUS

Full – time MONDAY - FRIDAY

POSITION SUMMARY

The Laboratory Analyst performs testing of samples submitted to the laboratory following written procedures and good documentation practices. The analyst is required to complete comprehensive in-house training program for all laboratory activities. Documented proficiency is required before the analyst can perform tasks independently. Because of the level of experience required for this position, the scope of work is generally limited to routine testing explicitly following written test protocols, however, upon the discretion of QC supervisory staff the analyst may be called upon to execute non-routine testing to support method validation, and method transfer. In addition, the analyst may be called upon to peer review analytical procedures and analysis data or qualify as trainers/supervisors of specific procedures.

DUTIES & RESPONSIBILITIES

• Perform sample preparation, digestion, and testing in accordance with written procedures for: ground water, drinking water, surface water (lakes and streams), waste water (industrial and municipal), and storm water in accordance with Safe Drinking Water, Clean Water, and RCRA programs and methodologies. Follow current TNI and NELAC standards.

• Exercise and maintain levels of competence, integrity and interpersonal skills necessary to attain regulatory and quality goals.

• Maintain documentation of laboratory activities including bench sheets or LIMS entries according to defined laboratory documentation practices.

• Process electronic data using procedures that ensure data integrity and security.

• Complete individual sample management and test scheduling to maintain holding times and company defined TATs (turn-around-times).

• Operate and maintain various bench-top instrumentation.

• Review and countersign (when necessary) logbooks, notebooks, worksheets, and LIMS data entries for the purpose of verifying compliance with written procedures, good documentation practices, data integrity and accuracy of calculations.

• Dispose of laboratory waste on an as needed basis while following stringent disposal practices.

• Perform and document daily standardization, calibration, and performance verifications on laboratory equipment.

• Comply with company procedures including but not limited to process and testing documentation, deviation reporting, certification and regulatory compliance, safety, and electronic data security.

Handle hazardous materials, reagents, and chemicals in a safe manner in accordance to laboratory policy and procedure.

• At the discretion of QC management, may qualify as a trainer and supervisor on specific laboratory procedures.

• Identify atypical laboratory events and results requiring a laboratory investigation. Assist QC management to perform investigative testing.

• Perform testing to support method validations and method transfers. • Inventory reagents and supplies to ensure uninterrupted operations.

• Execute and document preventative maintenance and calibration procedures on laboratory equipment.

• Clean laboratory glassware and maintain general laboratory cleanliness.

• Participation in weekly team meetings. • Assist where deemed necessary by Supervisors.

• Act as role model for work ethics, quality, and efficiency.

KNOWLEDGE, SKILLS & ABILITIES

• Skills – Measurable or observable behavior while performing a cognitive or manual activity, such as skill in word processing.

• Ability – Natural (perhaps innate) talents or gained capabilities, such as ability to follow procedures. An ability to plan, organize and prioritize work

Preferred knowledge:

• Degree in science related field of study

• Principles and application of current laboratory methods, materials and equipment used in Wet Chemistry and /or microbiology

• Local State and Federal Laboratory Regulations

• Methods for Test validation and verification

• Quality control and quality assurance

• Laboratory Safety

• Current technology and trends in the profession

EEO Statement RMB Environmental Laboratory is an Equal Opportunity Employer and will not discriminate against any applicant for employment on the basis of race, age, religion, sex, veterans, individuals with disabilities, sexual orientation, or gender identity


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