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Data Mining Jobs in Indiana (NOW HIRING)

... mining, to more complex statistical methodologies • Collaborate with internal and external partners to develop novel ways of using and reporting out data. • Provide technical assistance to ...

Data Architect

Anderson, IN · On-site +1

$55.25 - $71/hr

You will collaborate with leading professionals in data analysis and processing, as well as in advanced research of statistical models, machine learning approaches and data mining algorithms to ...

... mining, to more complex statistical methodologies • Collaborate with internal and external partners to develop novel ways of using and reporting out data. • Provide technical assistance to ...

Data Engineer

New Albany, IN · On-site +1

$105K - $127K/yr

You will collaborate with leading professionals in data analysis and processing, as well as in advanced research of statistical models, machine learning approaches and data mining algorithms to ...

... data mining techniques for Predictive Analytics. 5+ years of experience developing Advanced Analytics using, for example, Linear Regression, Logistic Regression, GLM, GAM, PCA, ANOVA, CART ...

Associate Data Scientist

Fort Wayne, IN · On-site

$58K - $58K/yr

Demonstrate proficiency with data mining, mathematics, statistical analysis, and predictive modeling. * Able to look at things differently, debug, troubleshoot, design, and implement solutions to ...

Associate Data Scientist

Fort Wayne, IN · On-site

$58K - $58K/yr

Demonstrate proficiency with data mining, mathematics, statistical analysis, and predictive modeling. * Able to look at things differently, debug, troubleshoot, design, and implement solutions to ...

Sr. Financial Analyst

Shipshewana, IN · On-site

$90K - $100K/yr

... data mining techniques and technology tools, including AI-enabled platforms where appropriate, to improve analysis quality and reporting efficiency. • Partner closely with the Controller & VP of ...

New

Senior Data Analyst

Goshen, IN

$76K - $96K/yr

... mining, and interpreting behavioral data to identify member trends and campaign performance drivers. - Advanced experience with data visualization platforms (e.g., Tableau, Power BI) to deliver ...

Data Analytics Specialist

Crane, IN · On-site

$100K - $160K/yr

The ideal candidate will have strong expertise with toolsets for data mining, statistical modeling, optimization, and data visualization for the purpose of driving engineering insights. Key ...

Data Analytics Specialist

Crane, IN · On-site

$100K - $160K/yr

The ideal candidate will have strong expertise with toolsets for data mining, statistical modeling, optimization, and data visualization for the purpose of driving engineering insights. Key ...

Senior Data Analyst

Goshen, IN · On-site

$76K - $96K/yr

... mining, and interpreting behavioral data to identify member trends and campaign performance drivers. - Advanced experience with data visualization platforms (e.g., Tableau, Power BI) to deliver ...

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Data Mining information

See Indiana salary details

$48.5K

$66.6K

$84.7K

How much do data mining jobs pay per year?

As of Jul 8, 2026, the average yearly pay for data mining in Indiana is $66,609.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,300.00 and $80,900.00 per year, depending on experience, location, and employer.

What does a data miner do?

A data miner analyzes large datasets to identify patterns, trends, and useful information that can support decision-making. They use tools like SQL, Python, or specialized software to extract and interpret data, often working in environments that require strong analytical and technical skills. Data mining is essential in fields like marketing, finance, and healthcare for uncovering insights and improving strategies.

Is data mining a good career?

Data mining is a viable career that involves analyzing large datasets to extract useful information, often requiring skills in statistics, programming, and data analysis tools like SQL and Python. It is in demand across industries such as finance, healthcare, and marketing, with opportunities for growth and specialization. Success in this field typically requires continuous learning and relevant certifications.

What are some common challenges faced by professionals in Data Mining roles?

Data Mining professionals often encounter challenges such as handling large and complex datasets, ensuring data quality, and selecting the most appropriate algorithms for specific business problems. Managing diverse data sources and cleaning data to prepare it for analysis can be time-consuming and requires careful attention to detail. Collaboration with business analysts, IT staff, and subject matter experts is frequent, as understanding the business context is essential for meaningful results. Overcoming these challenges is key to delivering accurate insights and supporting strategic decisions within an organization.

What is a Data Mining job?

A Data Mining job involves extracting useful patterns, trends, and insights from large datasets using statistical, machine learning, and analytical techniques. Professionals in this field work with structured and unstructured data to help businesses make data-driven decisions. Common tasks include data preprocessing, feature selection, algorithm development, and result interpretation. They often use tools like Python, R, SQL, and data visualization software to analyze data effectively.

Is 40 too late for data science?

Data mining is a key skill in data science, and professionals can enter the field at any age. Success depends on acquiring relevant skills such as programming, statistics, and tools like SQL or Python, regardless of age, making 40 not too late to start a career in data science.

What are the key skills and qualifications needed to thrive in the Data Mining position, and why are they important?

To thrive in Data Mining, a strong background in statistics, mathematics, computer science, and data analysis is usually required, often supported by a related degree or equivalent experience. Familiarity with tools such as Python, R, SQL, and data mining platforms like Weka or RapidMiner, as well as certifications in data analytics, are highly beneficial. Strong problem-solving abilities, analytical thinking, and effective communication skills help professionals interpret complex data and share actionable insights with stakeholders. These competencies are crucial for extracting valuable information from large datasets and driving data-informed decision-making within organizations.

What are the most commonly searched types of Data Mining jobs in Indiana? The most popular types of Data Mining jobs in Indiana are:
Infographic showing various Data Mining job openings in Indiana as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $66,609 per year, or $32 per hour.
Data & Analytics Analyst - Affiliates

Data & Analytics Analyst - Affiliates

Brotherhood Mutual

Fort Wayne, IN • On-site

Full-time

Posted 28 days ago


Brotherhood Mutual rating

7.3

Company rating: 7.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

217th of 278 rated insurance


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”.


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