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Mining Data Analytics Jobs in Indiana (NOW HIRING)

Linde Advanced Material Technologies Inc. IT Manager - Data & Analytics Indianapolis, IN, United ... mining. Linde's industrial gases and technologies are used in countless applications, enabling ...

... to data mining, to more complex statistical methodologies • Collaborate with internal and ... analysis needed with an understanding of both qualitative and quantitative data. • Working ...

Senior Data Analyst

Goshen, IN

$76K - $96K/yr

... analytics partner and an advanced technical contributor, building upon the foundational ... data mining, and interpreting behavioral data to identify member trends and campaign performance ...

Senior Data Analyst

Goshen, IN · On-site

$76K - $96K/yr

... analytics partner and an advanced technical contributor, building upon the foundational ... data mining, and interpreting behavioral data to identify member trends and campaign performance ...

... to data mining, to more complex statistical methodologies • Collaborate with internal and ... analysis needed with an understanding of both qualitative and quantitative data. • Working ...

Building analytical machine learning solutions; Data visualization techniques using tools such as PowerBI, R Shiny, SAS JMP; Multivariate data mining; Develop applications for a Cloud-based ...

Data Scientists - Seniors #IN1290

Columbus, IN · On-site +1

$115K - $158K/yr

Building analytical machine learning solutions; Data visualization techniques using tools such as PowerBI, R Shiny, SAS JMP; Multivariate data mining; Develop applications for a Cloud-based ...

Data Scientists - Seniors #IN1290

Columbus, IN · On-site +1

$115K - $158K/yr

Building analytical machine learning solutions; Data visualization techniques using tools such as PowerBI, R Shiny, SAS JMP; Multivariate data mining; Develop applications for a Cloud-based ...

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Mining Data Analytics information

Is 40 too late for data science?

Mining Data Analytics is a field that values skills and experience over age; many professionals transition into data science later in their careers. Learning programming languages like Python or R and gaining relevant certifications can help regardless of age. Age should not be a barrier to entering data science if you develop the necessary skills and stay current with industry tools.

What is the highest paid job in mining?

The highest paid roles in mining typically include mine managers, senior engineers, and geologists, with salaries often exceeding $150,000 annually. These positions require extensive experience, technical expertise, and often involve overseeing large operations or specialized skills such as data analysis and safety 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.

Will data mining be replaced by AI?

Data mining in mining data analytics involves extracting useful patterns from large datasets, and AI technologies like machine learning are increasingly used to automate and enhance this process. While AI can perform many tasks traditionally done by data miners, skilled analysts are still needed to interpret results, develop models, and ensure data quality, making complete replacement unlikely in the near term.

What does a data mining analyst do?

A data mining analyst examines large datasets to identify patterns, trends, and relationships that can inform business decisions. They use statistical tools and software such as SQL, Python, or R, and often work in environments requiring strong analytical and problem-solving skills to extract actionable insights.
What job categories do people searching Mining Data Analytics jobs in Indiana look for? The top searched job categories for Mining Data Analytics jobs in Indiana are:
What cities in Indiana are hiring for Mining Data Analytics jobs? Cities in Indiana with the most Mining Data Analytics job openings:
Data & Analytics Analyst - Affiliates

Data & Analytics Analyst - Affiliates

Brotherhood Mutual

Fort Wayne, IN • On-site

Full-time

Posted 10 days ago


Job description

Job Title: Data & Analytics Analyst - Affiliates

FLSA Status: Exempt

Job Family: Affiliates

Department: Strategy & Operations - Affiliates

Location: Corporate Office (Fort Wayne, IN)


JOB SUMMARY
Responsible for the collection, storage, interpretation, and visualization of company and Affiliate data. Serves as team lead in bringing together data sets in visualization tools, and creating views that identify areas for portfolio focus and attention. Key contributor and input into the buildout and execution of the
Affiliate Data & Analytics practice in support of BrotherhoodWorks, Lightwell & ACG Agencies, and BMIC.


POSITION ESSENTIAL FUNCTIONS AND RESPONSIBILITIES
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • Understand objectives, business strategies, and key performance indicators (KPI’s) to provide meaningful management information and analysis to help drive financial and business performance.
  • Develop and maintain Affiliate dashboards through Power BI and other tools.
  • Identify trends, data discrepancies, and/or process improvement opportunities and provide recommended solutions to management.
  • Design, develop and implement predictive and descriptive data mining models to support data driven decision-making.
  • Facilitate development and operationalization of an environment of management information, business intelligence, and decision-making tools for Affiliate team members, and executive leadership.
  • Evaluate and recommend emerging technologies, products, and enterprise-wide solutions.
  • Apply feature selection algorithms to models predicting outcomes of interest, such as product use in the Affiliate niche market.
  • Lead in the production of statistical models, tools, and processes.
  • Deliver oral or written presentations of the results of mathematical modeling and data analysis to management or other end users.
  • Design surveys, opinion polls, or other instruments to collect data.
  • Identify business problems or management objectives that can be addressed through data analysis.
  • Identify relationships and trends or any factors that could affect the results of research.
  • Complete other projects as assigned.


KNOWLEDGE, SKILLS, AND ABILITIES
The requirements listed below are representative of the knowledge, skills, and/or abilities required to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable individuals with
disabilities to perform the essential functions.

  • Possess excellent technical and analytical abilities.
  • Demonstrate experience with analytical software, database user interface and query software.
  • Expertise in data mining, mathematics, statistical analysis, and predictive modeling.
  • Possess skills in looking at things differently, debugging, troubleshooting, designing, and implementing solutions to complex technical issues.
  • Effectively interface with external contacts, Brotherhood employees, managers, and department staff members.


EDUCATION AND/OR EXPERIENCE
List Degree Requirement, Years' Experience, and Certifications

  • Must have a bachelor's degree in an analytically focused area e.g., data analytics, economics, finance, math, computer science, statistics, or related discipline.
  • Must have three to four years of experience in a data science, analytics, or business insights role with some level of experience in the general insurance industry.
  • At least one year of experience with Excel, SQL, and/or a statistical programming language (e.g., Python, R, SAS) is required.
  • Experience in building analytics using data pipelines, data visualization tools, or dashboard creation is desired.
  • A master's degree in data science, computer science, statistics, or related discipline is desired.
  • Experience on resume within the insurance or financial services industries is desired.


Terms and Conditions

This description is intended to describe the general content of and requirements for the performance of this position. It is not to be construed as an exhaustive statement of duties, responsibilities, or requirements.

Because the company’s niche is the church and related ministries market, and because effective service requires a thorough understanding of this market, persons in this position must be familiar with church operations and must conduct themselves in a manner that will neither alienate nor offend persons within this target niche.

Brotherhood Mutual Insurance Company reserves the right to modify, interpret, or apply this position description in any way the company desires. This job description in no way implies that these are the only duties, including essential duties, to be performed by the employee occupying
this position. This position description is not an employment contract, implied or otherwise. The employment relationship remains “at-will”.