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Data Mining Jobs in Indiana (NOW HIRING)

GMV

AI Innovation Leader

New Albany, IN · On-site +1

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 ...

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All JobsData Mining JobsData Mining Jobs in Indiana

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 13, 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:
What are popular job titles related to Data Mining jobs in Indiana? For Data Mining jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Data Mining jobs in Indiana look for? The top searched job categories for Data Mining jobs in Indiana are:
Data Mining jobs near you
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.
Sr. SQL Developer

Sr. SQL Developer

Avani Technology Solutions, Inc.

Fort Wayne, IN • On-site

Full-time

Re-posted 16 days ago

Job description

Position : SQL Developer
Location: Ft Wayne, IN
Duration: 6 months+
Skill Level: Sr level
Interview Process: References, online assessment, 1 phone/ onsite (will get first preference) / Skype (maybe)
Send Skill matrix back when submitting candidates!
Area of competency "must have's"
Short explanation of your experience with each skill - what, how, where, when, how long
# of years' experience
Expertise Score (1-10)
SSAS
Good SQL experience
Syed.j@avanitechsolutions.com
585-532-7200 Ext 9002
Top Three Skills:
  1. SQL Server (Most servers have been migrated to 2016, but they still have some on 2003 and up)
  2. SSRS and SSIS (Must have strong experience here for reporting and integration)
  3. Stored Procedures (Ability to write complex queries, design and deploy tables and views)

Job Description:
This resource will be the dedicated senior database developer to one of the large product teams (Scrum teams). These project teams could be Item Management, Order Management, Data Feed, E-marketing, etc.
This is a database developer position with long term contract and potential hire. The job duties, responsibilities and requirements are as follows below. We're looking for someone who has strong technical knowledge, good experience and outstanding interpersonal and team skills
• Coordinate and work with other technical staff to develop relational SQL databases and other storage solutions.
• Design and deploy tables, views, and stored procedures
• Creation of ETL's to facilitate data movement
• Reporting and BI functions
• Work closely with DBA's and Enterprise Data Architect to provide data consistency and direction across all areas.
• Provide high quality application to data layer connectivity
• Provide Business Intelligence Delivery for data mining capabilities
• Usage of MS SQL tools including, SSRS, SSIS, SSAS, Visual Studio and TFS
• Identify data entry, retrieval, change, and delete issues, and work to ensure a high level of data availability while working to meet business requirements for project completion.
• Ensure Ethical usage of all data
• Working with Agile Development Methodology and Scrum Framework
• Participate as a member of a large team of developers

Apply