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Data Mining Analyst Jobs in Texas (NOW HIRING)

Hanchey

Data Scientist

Dallas, TX · On-site

$85K - $130K/yr

Methods include basic descriptive approaches including trending and visualization to advanced causal analysis rooted in statistics and data mining techniques. The DSC interprets results and presents ...

Winaxis

Data Analyst

Dallas, TX · On-site

Providing technical expertise in data storage structures, data mining, and data cleansing. Data Analyst Requirements: Bachelor's degree from an accredited university or college in computer science.

Winaxis

Data Analyst

Dallas, TX · On-site

Providing technical expertise in data storage structures, data mining, and data cleansing. Data Analyst Requirements: Bachelor's degree from an accredited university or college in computer science.

Winaxis

Data Analyst

Dallas, TX · On-site

Providing technical expertise in data storage structures, data mining, and data cleansing. Data Analyst Requirements: Bachelor's degree from an accredited university or college in computer science.

Winaxis

Data Analyst

Dallas, TX · On-site

Providing technical expertise in data storage structures, data mining, and data cleansing. Data Analyst Requirements: Bachelor's degree from an accredited university or college in computer science.

InfoVision, Inc.

Data Engineer with Palantir

Dallas, TX · On-site

$113K - $136K/yr

Strong experience in analyzing large data set and resolve issues. * Strong experience in Data Mining and data integration * Using Ingested Data from Real time streaming Kafka * Experience delivering ...

Mindlance

Data Scientist

Houston, TX · On-site

They are seeking a Data Scientist with extensive experience in data mining and machine learning to tackle business analytics challenges. Qualifications : Required : • Minimum 8 years of relevant ...

Mindlance

Data Scientist

Houston, TX · On-site

They are seeking a Data Scientist with extensive experience in data mining, artificial intelligence, and machine learning to apply advanced analytics in business contexts. Qualifications : Required ...

Messer Americas

Sr Analyst, Procurement-Data

Dallas, TX · On-site

$77K - $97K/yr

Utilize data mining, analysis, and market research tools (e.g. SAP Cloud Analytics, Coupa Analytics, Microsoft applications) to identify actionable patterns and strategic insights. Research and apply ...

Messer Americas

Sr Analyst, Procurement-Data

Dallas, TX · On-site

$77K - $97K/yr

Utilize data mining, analysis, and market research tools (e.g. SAP Cloud Analytics, Coupa Analytics, Microsoft applications) to identify actionable patterns and strategic insights. Research and apply ...

Insolation Technology Ltd

Data Analyst

Houston, TX · On-site +1

$21 - $26/hr

The Data Analyst will be responsible for collecting, processing, and analyzing data to support ... Knowledge of machine learning algorithms and data mining techniques. * Familiarity with project ...

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All JobsData Mining Analyst JobsData Mining Analyst Jobs in Texas

Data Mining Analyst information

See Texas salary details

$47.5K

$65.2K

$82.9K

How much do data mining analyst jobs pay per year?

As of Aug 3, 2026, the average yearly pay for data mining analyst in Texas is $65,215.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,200.00 and $79,200.00 per year, depending on experience, location, and employer.

What are Data Mining Analysts?

Data Mining Analysts are professionals who specialize in analyzing large datasets to discover patterns, trends, and insights that help organizations make data-driven decisions. They use statistical techniques, machine learning tools, and software to extract useful information from complex data sources. Their work often involves cleaning and organizing data, building predictive models, and presenting findings to stakeholders. Data Mining Analysts play a key role in industries such as finance, marketing, healthcare, and retail.

How much do data miners make?

Data mining analysts typically earn a median annual salary of around $60,000 to $80,000, depending on experience, education, and location. Entry-level positions may start lower, while experienced analysts with advanced skills in SQL, Python, or machine learning can earn higher salaries and bonuses.

Is 40 too late for data science?

Data Mining Analysts and other data science roles do not have strict age limits; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or SQL, regardless of age. Continuous learning and experience are valued in the field, making age less of a barrier than skill and knowledge.

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 tools like SQL, Python, or R and often work with data visualization and statistical analysis to extract actionable insights.

Will AI replace a data analyst?

AI can automate routine data processing and analysis tasks, but a data mining analyst's role involves interpreting complex data, making strategic decisions, and communicating insights, which currently require human judgment. While AI tools enhance efficiency, the need for analytical expertise, critical thinking, and domain knowledge keeps the role relevant and evolving alongside technological advancements.

How does a Data Mining Analyst typically collaborate with other departments within an organization?

Data Mining Analysts frequently work alongside departments such as marketing, finance, and operations to translate raw data into actionable insights. They often participate in cross-functional meetings to understand specific business challenges and design data models that address those needs. Collaboration may include presenting findings, creating reports, and explaining complex patterns in data to non-technical stakeholders. This interdepartmental teamwork ensures that data-driven solutions are aligned with organizational goals and strategies.

What is the difference between Data Mining Analyst vs Data Analyst?

AspectData Mining AnalystData Analyst
Required SkillsData mining, statistical analysis, SQL, data visualizationData cleaning, reporting, Excel, basic SQL
CertificationsCertified Data Mining Professional, SQL certificationsMicrosoft Excel certifications, Google Data Analytics
Work EnvironmentData warehouses, analytics teams, research projectsBusiness units, reporting teams, dashboards
Industry UsageTech, finance, healthcare, marketingRetail, finance, healthcare, government

While both roles analyze data, Data Mining Analysts focus on extracting patterns from large datasets using advanced techniques, whereas Data Analysts primarily interpret data to generate reports and support decision-making. The roles often overlap but differ in technical depth and scope.

What are the key skills and qualifications needed to thrive as a Data Mining Analyst, and why are they important?

To thrive as a Data Mining Analyst, you need strong analytical skills, proficiency in statistics, and a background in computer science or a related field, often supported by a relevant degree. Familiarity with data mining tools like SQL, Python, R, and platforms such as SAS or RapidMiner, as well as knowledge of machine learning algorithms, is typically required. Attention to detail, critical thinking, and effective communication are vital soft skills for interpreting data and presenting actionable insights. These competencies are crucial for extracting meaningful patterns from large datasets and informing strategic business decisions.
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What job categories do people searching Data Mining Analyst jobs in Texas look for? The top searched job categories for Data Mining Analyst jobs in Texas are:
What are popular job titles related to Data Mining Analyst jobs in TX? For Data Mining Analyst jobs in TX, the most frequently searched job titles are:
Data Mining Analyst jobs near you
Infographic showing various Data Mining Analyst job openings in Texas as of July 2026, with employment types broken down into 88% Full Time, 7% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 8% Hybrid, and 10% Remote job distribution, with an average salary of $65,215 per year, or $31.4 per hour.

Data Analyst

Judit Inc

Plano, TX

Full-time

Re-posted 28 days ago

Job description

Top skills:

  • Business Analysis
  • Tableau
  • SQL

Schedule: Fully onsite 9am-5pm
Skills and Qualifications

  • Master's degree in Mathematics, Computer Science, Economics, or Statistics
  • 5-7 years experience mining data as a data analyst or business data analyst
  • Proven analytic skills, including mining, evaluation, analysis, and visualization
  • Technical writing experience in relevant areas, including queries, reports, and presentations
  • Strong Google Big query,SQL or Excel skills with the ability to learn other analytic tools
  • 5+ years experience using reporting tools such as Tableau.
  • Technical expertise regarding data models, database design development, data mining and segmentation techniques
  • Working experience with transactional data sets
  • Previous experience in ecommerce analytics or similar function with heavy focus on data analysis
  • Must have executive level power point creation experience

Responsibilities

  • Develop, implement, and maintain leading-edge analytic reports, taking complicated problems and building simple frameworks
  • Identify trends and opportunities for growth through analysis of complex data sets
  • Create best-practice reports based on data mining, analysis, and visualization
  • Evaluate internal systems for efficiency, problems, and inaccuracies, developing and maintaining protocols for handling, processing, and cleaning data
  • Work directly with management and users to gather requirements, provide status updates, and build relationships
  • Proactively analyze data to answer key questions from stakeholders or out of self-initiated curiosity with an eye for what drives business performance, investigating and communicating areas for improvement in efficiency and productivity
  • Create and maintain rich interactive visualizations through data interpretation and analysis integrating various reporting components from multiple data sources