1

Data Mining Jobs in Houston, TX (NOW HIRING)

Perform data mining and trend analysis * Develop DAX measures and Power Query transformations to support project KPIs and executive reporting * Develop, maintain, and enhance Power BI dashboards

While mining, interpreting, and cleaning our data, this person will be relied on to ask questions, connect the dots, and uncover hidden opportunities for realizing the data full potential. As part of ...

Perform research, data analysis, modeling, data mining, visualization, and pattern analysis. * Develop and test hypotheses and communicate findings in a clear, precise, and actionable manner.

New

As a Data Scientist, you will apply strong expertise through the use of machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics ...

Houston, TX Must Have Skills (Top 2 technical skills only) Minimum 8 years of relevant experience in applying data mining, artificial intelligence, signal processing, machine learning, optimization ...

Data Analyst

Houston, TX · On-site +1

$21 - $26/hr

Knowledge of machine learning algorithms and data mining techniques. * Familiarity with project management methodologies and tools. * Experience working in a team-oriented, collaborative environment.

The role involves problem-solving, data mining, and daily operations related to data maintenance while working with various business functions. Responsibilities : • Manage Master Data in SAP across ...

next page

Showing results 1-20

Data Mining information

See Houston, TX salary details

$48.7K

$66.8K

$85K

How much do data mining jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data mining in Houston, TX is $66,848.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,500.00 and $81,200.00 per year, depending on experience, location, and employer.

What is a data mining?

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.

What are the key skills and qualifications needed to thrive in data mining, 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 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.

How much do data miners make?

Data miners typically earn between $50,000 and $90,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced professionals with advanced skills in data analysis and tools like SQL or Python can earn higher salaries.

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 tools like SQL and Python. It is in demand across industries such as finance, healthcare, and marketing, with opportunities for advancement and specialization.

What are the most commonly searched types of Data Mining jobs in Houston, TX?

The most popular types of Data Mining jobs in Houston, TX are:

What cities near Houston, TX are hiring for Data Mining jobs?

Cities near Houston, TX with the most Data Mining job openings:

Infographic showing various Data Mining job openings in Houston, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $66,848 per year, or $32.1 per hour.

Engineering Data Analytics

Jobtailor

Houston, TX • On-site

$95 - $130/hr

Other

Posted 6 days ago


Key responsibilities

  • Analyze engineering and cost-related datasets to identify trends and business insights

  • Develop, maintain, and enhance Power BI dashboards and reports to support project KPIs and executive reporting

  • Establish data validation checks, automate reporting processes, and support cross-functional teams with data analysis and visualization


Job description

  • Analyze engineering and cost-related datasets to identify trends and business insights
  • Perform data mining and trend analysis
  • Develop DAX measures and Power Query transformations to support project KPIs and executive reporting
  • Develop, maintain, and enhance Power BI dashboards
  • Establish data validation checks for report accuracy, completeness, and consistency
  • Create executive-level reports and visualizations
  • Automate reporting processes to improve efficiency
  • Track cost-saving initiatives and project milestones
  • Support engineering review meetings and status reporting
  • Improve reporting methodologies and data visibility
  • Develop standardized metrics and KPI reporting systems
  • Maintain data integrity and validate data accuracy
  • Support cross-functional engineering, manufacturing, product development, and program teams
Requirements
  • High school diploma with previous experience in other functional areas
  • Minimum of 5+ years of experience in project controls with a focus on engineering
  • Minimum of 5+ years of experience in advanced Power BI development
  • Strong proficiency in Power BI
  • Experience developing Power BI semantic models and dashboards
  • Experience with Power Query, DAX, and relational data modeling
  • Ability to document data logic, KPI definitions, and reporting methodology
  • Ability to integrate data from multiple systems, spreadsheets, databases, or project controls tools
  • Proven record and experience in a project controls effort on assigned projects
  • Understanding of basic project management principles
  • Excellent general understanding of Cost Management, Estimating, and Change Control
  • High degree of computer literacy
  • Strong written and verbal communication skills with the ability to interact with staff at all levels
  • Ability to meet deadlines, work independently, be accountable, maintain focus, be punctual, and maintain good attendance
  • Ability to work independently or as a team member when needed
  • Bachelor’s Degree preferred
  • Experience with SQL preferred
  • Experience with Primavera P6, Microsoft Projects, or other project controls systems preferred
  • Experience with row-level security, deployment pipelines, and Power BI Service administration preferred
Core Competencies

Demonstrates expertise in Power BI development, including DAX measures, Power Query transformations, and dashboard creation to support project KPIs and executive reporting. Proven ability to analyze datasets for trends, maintain data integrity, and automate reporting processes for enhanced efficiency.

Highest-signal resume keywords
  • Power BI Development
  • DAX Measures
  • Power Query
  • Data Analysis
  • Project Controls
Hard Skills
  • Data Mining
  • Trend Analysis
  • Relational Data Modeling
  • KPI Reporting
  • Data Validation
  • Cost Management
  • Estimating
  • Change Control
  • SQL
  • Row-Level Security
Soft Skills
  • Strong Communication Skills
  • Ability to Work Independently
  • Team Collaboration
  • Accountability
  • Punctuality
Industry Keywords
  • Project Management Principles
  • Cost-Saving Initiatives
  • Data Integrity
  • Executive Reporting
  • Cross-Functional Support
Tools & Technologies
  • Power BI
  • Primavera P6
  • Microsoft Projects
  • Project Controls Systems
#J-18808-Ljbffr