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Data Analytics Jobs in Brainerd, MN (NOW HIRING)

TSMG

Data collector / Driver

Brainerd, MN · On-site

We collect data where automation is not possible. We count features, take pictures, make videos ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

TSMG

Data collector / Driver

Brainerd, MN · Remote

We collect data where automation is not possible. We count features, take pictures, make videos ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

MLCV

Financial Analyst $60,000-$99,000/annually

Onamia, MN · On-site

$60K - $99K/yr

This role partners closely with leaders to analyze financial and operational data, identify trends and risks, evaluate opportunities, and provide clear, actionable insight that improves performance ...

Essentia Health

Patient Experience Partner

Brainerd, MN · On-site +1

$57K - $86K/yr

Under moderate supervision, this role follows established processes to collect, analyze, and summarize patient, family, and physician experience data; support reporting and survey activities; and ...

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All JobsData Analytics JobsData Analytics Jobs in Brainerd, MN

Data Analytics information

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$23

$53

$92

How much do data analytics jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for data analytics in Brainerd, MN is $53.57, according to ZipRecruiter salary data. Most workers in this role earn between $43.03 and $60.67 per hour, depending on experience, location, and employer.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

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

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

What cities near Brainerd, MN are hiring for Data Analytics jobs?

Cities near Brainerd, MN with the most Data Analytics job openings:

Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Brainerd, MN as of August 2026, with employment types broken down into 5% Internship, 76% Full Time, 14% Part Time, and 5% Nights. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $111,416 per year, or $53.6 per hour.

Data collector / Driver

TSMG

Brainerd, MN • On-site

Full-time

Re-posted 25 days ago

Job description

Company description

Terry Soot Management Group (TSMG) is a field data collection company founded in 2017 in Europe. 

We collect data where automation is not possible. We count features, take pictures, make videos, record speech, and scan areas for every detail you need to make more informed decisions. Our field data collection teams are spread across Europe and North America, ready to accept new challenges.

Project objective
The goal of the project is to help collect images of streets, main points of interest and public areas. The project is performed on cars with 360 cameras mounted on top that image the area around the vehicle and store those images on computers inside the vehicle. Later, this data will be used to enhance one the most popular online maps in the world.

The data collectors will be given specific routes around public streets and areas, specifically targeting commercial districts and historical sites. Due to poor weather conditions some areas will be visited multiple times in order to collect the best quality of imaging. The project is expected to last at least 3 months and will cover different city/state zones.

The ideal candidate enjoys driving, knows well the area, traffic trends, is highly responsible and reliable.

The schedule expected on the project is Monday-Friday, 8 hours/day 40 hours per week. You can work more than 8 hours if you will.
Requirements
  • Must have a valid Driver License (driving experience, 1-2 yrs minimum)
  • Must have parking for a vehicle
  • Must be authorized to work in the US
  • Must pass the background check
  • Enjoys driving, with flexible schedule
  • Available for a minimum of 3 months
  • Responsible & Reliable
  • Good driving skills
  • Great communication skills
  • High level of responsibility
  • General car knowledge
  • Tech savvy (smartphone and basic apps)
  • Basic computer skills
  • Self-motivated and detailed oriented
We would be happy to get to know you and your skills better and see how we can support each other's growth.

Please apply and let's meet!
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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