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Mining Data Analytics Jobs in Utah (NOW HIRING)

America First Credit Union

Data Scientist

Ogden, UT · On-site

The Data Scientist's primary focus will be performing data mining, statistical analysis, and operationalization of analytical models. This is not a research, proof of concept, or theorist position ...

America First Credit Union

Data Scientist

Ogden, UT · On-site

The Data Scientist's primary focus will be performing data mining, statistical analysis, and operationalization of analytical models. This is not a research, proof of concept, or theorist position ...

New

Snap Finance US

Data Scientist III

West Valley City, UT · On-site

$90 - $120/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Mining, modeling, and analyzing large datasets, utilizing predictive modeling techniques. Building and validating a variety of statistical models, providing analytic support, and developing new ...

Snap Finance, LLC

Data Scientist III

West Valley City, UT · On-site

$90 - $120/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Mining and Modeling:** + Mining, modeling, and analyzing large datasets, utilizing predictive modeling techniques. + Building and validating a variety of statistical models, providing analytic ...

WSP

Mining Construction Safety Lead

South Jordan, UT · On-site

$70K - $94K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

This Opportunity WSP is seeking a Mining Construction Safety Lead to monitor and oversee all onsite ... Collect and analyze health and safety data, preparing reports for management that highlight ...

WSP

Mining Construction Safety Manager

South Jordan, UT · On-site

$70K - $94K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

This Opportunity WSP is seeking a Mining Construction Safety Manager to monitor and oversee all ... Collect and analyze health and safety data, preparing reports for management that highlight ...

WSP

Mining Construction Safety Lead

South Jordan, UT · On-site

$70K - $94K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

This Opportunity WSP is seeking a Mining Construction Safety Lead to monitor and oversee all onsite ... Collect and analyze health and safety data, preparing reports for management that highlight ...

WSP

Mining Construction Safety Manager

South Jordan, UT · On-site

$70K - $94K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

This Opportunity WSP is seeking a Mining Construction Safety Manager to monitor and oversee all ... Collect and analyze health and safety data, preparing reports for management that highlight ...

Wood Plc

Geologist

Sandy, UT · On-site +1

The company maintains mining offices across Canada, the USA and Australia, as well as in Santiago ... Development of exploration drill campaigns, data collection at mine sites, data analytics ...

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All JobsMining Data Analytics JobsMining Data Analytics Jobs in Utah

Mining Data Analytics information

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

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

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

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

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

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

Mining Data Analytics jobs near you

Data Scientist

America First Credit Union

Ogden, UT • On-site

Full-time

Re-posted 12 days ago

America First Credit Union rating

8.1

Company rating: 8.1 out of 10

Based on 51 frontline employees who took The Breakroom Quiz

61st of 150 rated financial services

Job description

Schedule
Mon- Fri
Overview
In office and Work @ Home available. Must live in one of the following states: AZ, CA, HI, ID, IA, MI, NV, NH, NJ, NM, OR, TN, TX, UT, VT, VA, & WA.
This position is responsible for aiding operational areas of the organization leveraging both internal and external data assets to achieve business insights, gain deeper understanding of member needs, and enhance tactical and strategic decision making.
Responsibilities
Collaborates with business segments to extract analytical, behavioral and predictive insights from ever increasing data resources. Applies progressive statistical, programmatic, and analytical approaches to business hypotheses to gain deeper understanding of available data. Aids business owners in the interpretation of the results of models and analysis. Requires a solid understanding of both the technical and business aspects of Data Science and business analytics. Must be able to understand the analytical needs of business users, and the business, and translate those needs into actionable resources. Requires full Data Science life cycle development experience within various analytical architectures, including piloting models, A/B testing, underlying data design, and model operationalization. Models will be deployed using agile methodologies to ensure timely and relevant delivery.
Responsible for the design, development, and maintenance of analytical models that will be placed into operation. Will be required to explore internal and external data sources to identify useful structures within the data that were/are previously unknown to the business. Should have a strong understanding of relational and dimensional modeling to facilitate data wrangling, model operationalization, and exploration of data. Must have experience with R, Python, and Linux. Responsible for adhering to corporate reporting policy and controls to ensure the accuracy, timeliness and confidentiality of corporate data and reports. Must be able to work with users from all levels of management in developing and implement operational and strategic analytics. The Data Scientist's primary focus will be performing data mining, statistical analysis, and operationalization of analytical models. This is not a research, proof of concept, or theorist position, the data scientist must be able to drive real business value.
ESSENTIAL FUNCTIONS AND BASIC DUTIES:
  • Uncover and operationalize underlying structure within the data into tangible business value utilizing machine learning.
    1. Develop models, processes, and structures necessary to support analytic needs of America First Credit Union using machine learning in 4th generation and 3rd generation computer languages.
    2. Work with analytics information manager and other staff to implement various analytical models, anything from churn, future value, or recommender systems.
    3. Build small reporting layer on top of analytical models to ensure accountability and insight into models outcomes and impact.
    4. Able to pilot and build POC's to demonstrate and test business value of model.
    5. Extracts operational, performance, statistical and other data from various information systems.

  • Educate and demystify analytical models to business users.
    1. Develop presentations and trainings for business users to increase understanding of statistics and implementation of models.
    2. Maintain department as the competency center for analytics within America First Credit Union.

  • Works closely with analytics information manager to interpret report results.
    1. Analyze, interpret, and summarize analytical model's results.
    2. Participates in the interpretation and context of complex business reports.
    3. Runs what--if simulations based on varying factors and assumptions.
    4. Identifies exceptions, positive and negative trends and measures that are out of tolerance with established limits and ranges.
    5. Identifies potential concerns based on projections of current trends.
    6. Performs statistical and financial analysis of data.

Qualifications
  • Must have prior experience developing business analytical solutions in large or midsize companies.
  • Must be able to manage multiple tasks simultaneously and react to problems quickly.
  • Must be able to translate concepts and directions into practical solutions.
  • Must have experience in reporting on business analytical solutions.
  • Must have strong presentation skills.
  • Must have programming experience with 4th generation and 3rd generation computer languages such as Python and R.
  • Must have experience with Linux.
  • Must have experience with data mining models, for example Linear Regression, Random Forest, Support Vector Machines...
  • Must have development experience with relational database structures, multi-dimensional database, and data warehouse design architecture.
  • Must have strong SQL abilities, experience with both Oracle and Microsoft desired.
  • Must be able to develop, maintain, review and explain data models.
  • Must have excellent verbal and written communication skills.
  • Must be a team player.
  • Must understand numerous references to all things nerdy.
  • Understanding of the financial services industry desired.
  • Experience with dashboard design and delivery.

EXPERIENCE:
  • Three or more years of experience in designing, developing and implementing Data Science solutions.

EDUCATION:
  • Masters of science in information technology, computer science, statistics, or related degree.
  • Bachelors of science degree in information technology, computer science, statistics, or related business degree with equivalent experience of 3 years.

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