ZipRecruiter

Log In

1

Data Mining Jobs in Kansas (NOW HIRING)

PROLIM Global Corporation

IT Data Architect

Topeka, KS · On-site +1

Eight (8) year's direct experience relative to the field of work, with at least five (5) years direct experience with data architecting, data mining, large-scale data modeling and business ...

New

Murphy-Hoffman Company

Data Engineer

Leawood, KS · On-site

$111K - $133K/yr

Strong knowledge of database structure systems and data mining * Experience working with Snowflake, Azure Data Factory, Qlik Replicate, SQL, T-SQL, DBT, Microsoft Fabric, Python/PySpark. * Ability to ...

Velocity Staff

Senior Data Engineer

Overland Park, KS · On-site

$104K - $142K/yr

This role requires significant understanding of data mining and analytical techniques. An ideal candidate will have strong technical capabilities, business acumen, and the ability to work effectively ...

Nuvative Inc

Data Scientist

Wichita, KS · On-site

Background in data mining, machine learning, statistical analysis, and modeling. * Strong SQL abilities and experience with massive relational database systems. * Programming skills in R or Python ...

Nuvative Inc

Data Scientist

Wichita, KS · On-site

Background in data mining, machine learning, statistical analysis, and modeling. * Strong SQL abilities and experience with massive relational database systems. * Programming skills in R or Python ...

Garmin

Senior C# Software Engineer - Map Data

Olathe, KS · On-site

$115K - $152K/yr

... data mining techniques to derive insights or features from large datasets • Previous experience in the cycling, running, outdoor adventure or automotive industries • Outstanding academics ...

next page

Showing results 1-20

All JobsData Mining JobsData Mining Jobs in Kansas

Data Mining information

See Kansas salary details

$45.5K

$62.4K

$79.4K

How much do data mining jobs pay per year?

As of Jul 14, 2026, the average yearly pay for data mining in Kansas is $62,429.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,100.00 and $75,800.00 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 Kansas? The most popular types of Data Mining jobs in Kansas are:
What are popular job titles related to Data Mining jobs in Kansas? For Data Mining jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Data Mining jobs in Kansas look for? The top searched job categories for Data Mining jobs in Kansas are:
What cities in Kansas are hiring for Data Mining jobs? Cities in Kansas with the most Data Mining job openings:
Data Mining jobs near you

Data Analyst - Overland Park, KS

Futran Tech Solutions Pvt. Ltd.

Overland Park, KS • On-site

Full-time

Re-posted 11 days ago

Job description

Role : Data Analyst
Location - Overland Park, KS
Longterm Contract
JD:
We are looking for a passionate certified Data Analyst. The successful candidate will turn data into information, information into insight and insight into business decisions.
Responsibilities
  • Interpret data, analyze results using statistical techniques and provide ongoing reports
  • Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
  • Acquire data from primary or secondary data sources and maintain databases/data systems
  • Identify, analyze, and interpret trends or patterns in complex data sets
  • Filter and "clean" data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
  • Work with management to prioritize business and information needs
  • Locate and define new process improvement opportunities

Requirements and skills
  • Proven working experience as a Data Analyst or Business Data Analyst
  • Technical expertise data models, database design development, data mining and segmentation techniques
  • Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks) Power BI Required
  • Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  • Adept at queries, report writing and presenting findings
  • ServiceNow experience preferred not required.

Apply