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Mining Data Analytics Jobs in Minnesota (NOW HIRING)

Tactile Medical

Data Analyst

New Brighton, MN

The candidate must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating ...

Tactile Medical

Data Analyst

New Brighton, MN · On-site

$61K - $86K/yr

The candidate must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating ...

Target

Sr Data Analyst

Minneapolis, MN · Hybrid

$88K - $158K/yr

The position operates at the intersection of business strategy and advanced analytics, partnering ... Solid problem solving, analytical skills, data curiosity, data mining, data creation and ...

Target Brands, Inc.

Sr Data Analyst

Minneapolis, MN · On-site

$88K - $158K/yr

The position operates at the intersection of business strategy and advanced analytics, partnering ... Solid problem solving, analytical skills, data curiosity, data mining, data creation and ...

Target

Sr Data Analyst

Minneapolis, MN · Hybrid

$88K - $158K/yr

As a part of the Properties Analytics team, our analysts work closely with business owners as well ... Solid problem solving, analytical skills, data curiosity, data mining, Data creation and ...

Target Corporation

Sr Data Analyst

Minneapolis, MN · On-site

$88K - $158K/yr

As a part of the Properties Analytics team, our analysts work closely with business owners as well ... Solid problem solving, analytical skills, data curiosity, data mining, Data creation and ...

New

Target Brands, Inc.

Sr Data Analyst

Minneapolis, MN · On-site

$88K - $158K/yr

As a part of the Properties Analytics team, our analysts work closely with business owners as well ... Solid problem solving, analytical skills, data curiosity, data mining, Data creation and ...

Raks Group LLC

.Net Developer

Minneapolis, MN · On-site

$48 - $63.25/hr

Ability to work with a large amount of data from diverse, complex and frequently unrelated sources and be able to perform data collection, data analyses/mining, data cleansing, data integration and ...

Raks Group LLC

.Net Developer

Minneapolis, MN

$48 - $63.25/hr

Ability to work with a large amount of data from diverse, complex and frequently unrelated sources and be able to perform data collection, data analyses/mining, data cleansing, data integration and ...

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Mining Data Analytics information

What does a mining data analytics do?

A mining data analyst collects, processes, and interprets data related to mining operations to improve efficiency, safety, and productivity. They use tools like SQL, Python, or specialized mining software to analyze large datasets and support decision-making. Strong analytical skills and knowledge of mining processes are essential for this role.

What is data analytics in the mining industry?

Data analytics in mining involves collecting and analyzing large datasets from exploration, production, and safety operations to optimize processes, improve efficiency, and reduce costs. Mining data analysts use tools like statistical software and machine learning to interpret sensor data, geological information, and operational metrics, supporting decision-making and resource management.

What is the difference between Mining Data Analytics vs Data Analyst?

AspectMining Data AnalyticsData Analyst
Required CredentialsBachelor's in Data Science, Mining Engineering, or related fields; certifications in data analytics or mining softwareBachelor's in Statistics, Data Science, or related fields; certifications in data analysis tools
Work EnvironmentMining sites, data centers, or corporate offices; focus on mineral extraction dataOffice settings, corporate or consulting firms; focus on business data
Employer & Industry UsageMining companies, resource extraction industriesVarious industries including finance, healthcare, retail

Mining Data Analytics and Data Analysts both analyze data, but Mining Data Analytics specializes in mineral extraction data within the mining industry, often requiring industry-specific knowledge and certifications. Data Analysts have a broader scope across multiple industries, focusing on business insights. While both roles involve data interpretation, their environments and applications differ significantly.

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

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

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

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

What cities in Minnesota are hiring for Mining Data Analytics jobs?

Cities in Minnesota with the most Mining Data Analytics job openings:

Mining Data Analytics jobs near you

Data Analyst

Tactile Medical

New Brighton, MN

Full-time

Re-posted 6 hours ago

Tactile Medical rating

8.6

Company rating: 8.6 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

Job description

The Data Analyst will discover valuable information in large data sets and help Tactile Medical make smarter decisions to deliver better products and optimize operations. We are looking for a motivated Data Analyst to deliver clear insights into the operations and development teams and leadership. The ideal candidate will have a strong desire to use mathematical and statistical expertise and will have a natural curiosity to gain knowledge through the independent creation of thoughtful analyses tied to company goals. The candidate must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations.

Accountabilities & Responsibilities

  • Develop, maintain, and distribute data reporting tools for manufacturing, supply chain, shipping, and product development
  • Work with Operations, Digital Solutions, and other stakeholders to understand reporting needs
  • Fill knowledge gaps through creative application of data resulting in clear and reliable data reporting
  • Design and maintain models, metrics, reports, and dashboards that help stakeholders better understand the business trends
  • Collaborate across multiple teams to understand business needs and analyze complex data while communicating recommendations
  • Analyze structured and unstructured data from medical devices, ERP systems, and cloud platforms to uncover trends and opportunities
  • Develop requirements, processes, and documentation for reporting on data-related projects
  • Embrace working toward the end goal of helping others live a better quality of life
  • Support day-to-day business needs surrounding system and data related tasks
  • Contribute to publication-grade data analysis using datasets provided by the Digital Solutions team, supporting research and thought leadership initiatives
  • Support IoT-related use cases by evaluating device usage data and informing quality metrics

Education & Experience:

  • Bachelors Degree in Data Analytics or in Computer Science, Engineering, Mathematics, Statistics, or related field, with a focus on Data Analytics
  • 1+ years of relevant experience in data analytics, data science, and/or a quantitative field
  • Working knowledge of various analytic methods (i.e. data analysis, statistics, operations research and/or machine learning) with application to business problems

Knowledge & Skills:

  • Excellent communication, analytical and collaborative problem-solving skills in applying analytical methods to real world problems with measurable outcomes
  • Engage in statistical and exploratory analysis of datasets from medical device data
  • Experience in setting analytics frameworks or strategies for complex scenarios
  • Play a role in defining, monitoring, and reporting on key product performance metrics
  • Experience in an ERP systems collecting data
  • Experience in R, Python, or similar scripting language
  • Experience with data visualization and presentation tools, such as Power BI
  • Demonstrable record of accomplishment dealing well with ambiguity, prioritizing needs, and delivering results in an agile, dynamic regulated environment

Competencies:

  • Analytical
  • Technical Expertise
  • Detail Oriented
  • Research and Development
  • Team Leadership
  • Flexible
  • Collaboration
  • Communication
  • Critical Thinking
  • Peer Relationships
  • Problem Solving

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