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Data Mining Jobs in Grapevine, TX (NOW HIRING)

Provide analytical support to the organization by leveraging data mining tools and analytical methodologies Assist in data modelling and analysis to determine key customer insights, drive business ...

Data Scientist - IV

Irving, TX · On-site

$70 - $75/hr

... and Data Mining algorithms MUST HAVE SKILLS (Most Important): List at least top 3 required skills: Gen-AI, Prompt engineering, RAG By providing your phone number, you consent to: (1) receive ...

Data Entry Clerk

Irving, TX · On-site

$15 - $19/hr

What You'll Do As a Data Entry Clerk, you will: * Assist with data mining for periodic State data reporting and submission of PEIMS and Core Collections. * Perform data entry and maintenance of PEIMS ...

Preferred : • Bachelor's Degree or Professional Certificate in Data Analytics, Data Mining, Data Science, or a related field. Company : Michaels Stores is an arts and crafts supplier store that ...

Designs scalable data mining models and reporting protocols to identify trends and patterns in massive datasets. * Applies modern and emerging data science techniques to solve business problems ...

Apply data mining, quantitative analysis, and statistical models to understand customer interactions * Collaborate across the organization to develop best practices and advocate for enterprise-wide ...

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Data Mining information

See Grapevine, TX salary details

$47.1K

$64.7K

$82.2K

How much do data mining jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data mining in Grapevine, TX is $64,671.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,800.00 and $78,500.00 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 Grapevine, TX?

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

What are popular job titles related to Data Mining jobs in Grapevine, TX?

For Data Mining jobs in Grapevine, TX, the most frequently searched job titles are:

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

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

Infographic showing various Data Mining job openings in Grapevine, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $64,671 per year, or $31.1 per hour.

Contractor

Re-posted 12 days ago


Job description

Company Description

Halo Group is a premier provider of IT talent. We place technology experts within the teams of the world's leading companies and help clients build innovative businesses that keep them one step closer to their customers and one step ahead of the competition.

Halo Group strives to be among the most respected IT consulting firms by providing unmatched customer, consultant and employee support. A meaningful work environment for employees, attractive and interesting engagements for consultants, and cutting edge innovation for our customers set us apart from the rest. At Halo Group, people are not a commodity, but our greatest resource.

Job Description

Description:

Important Note:

Candidates should have the following experience:

Hands on experience using SQL or SAS and other query tools on large databases

Experience with Big Data

Experience making presentations

Manage analytics projects

Preferably local to DFW

Good contract/full-time tenure

Recent financial services experience

POSITION SUMMARY -

Reason for contingent headcount?

Workload

What is the project(s) name?

Core Support - Customer Analytics

What are the key objectives for this resource (project summary)?

This position will provide customer insight to the organization through analysis, research, modelling and data mining.

Provide analytical support to the organization by leveraging data mining tools and analytical methodologies

Assist in data modelling and analysis to determine key customer insights, drive business strategies, and maximize ROI

Integrate internal and external data sources, be comfortable working with both structured and unstructured data

Assist in advanced quantitative methods to segment customers and evaluate customer related activities for effectiveness and efficiency

Assist in development, maintenance and enhancement of statistical models

Use statistical tools and techniques to extract and analyze trends from the customer database warehouse

Manage analytics projects

Prepare and deliver presentations with complex analytical concepts. Comfortable presenting to the business and upper management.

Experience in deep dive analysis and applying analytic techniques to customer/consumer behavior data to determine key customer insights, drive business strategies and maximize ROI such as text analytics.

Conduct multi-channel deep dive analysis for online and offline contexts using mobile phone/tablet/PC/offline browsing and purchase data

Going forward, assist in development and analysis of Real-Time data flows.

Ability to partner with business groups to provide decision support and help determine and drive business strategies by leveraging data

Comfortable working with big data/large datasets

What specific Client departments will they interact with?

Service Operations (Customer Service Call Centers)

Marketing

Legal & Compliance

Sales

Remarketing, Insurance, BTS, and various other business groups

What phase is the project currently in?

Ongoing Support

Requirements:

Must Haves:

2-5 years of experience in a data analytics lead role

Hands on experience using SQL or SAS and other query tools on large databases

Knowledge of at least one statistical programming language (R, SQL, SAS, and/or Python)

Strong quantitative skills

Experience in applying advanced statistical or machine learning techniques

Knowledge of dashboard and reporting software (Tableau, OBIEE, etc.)

Understanding of relational databases

Bachelor's degree in a quantitative discipline (Statistics, Applied Mathematics, etc) or sufficient on the job use of related skills. Masters/PhD degree is a plus.

Strong presentation and communication skills

Exceptional standards for quality and strong attention to detail

Comfortable working with vendors and business partners and the ability to take initiative to drive projects forward.

Must be able to multitask and handle multiple projects at any given time.


Additional Information


Nice-to-haves: (The below is not necessary for this position. These are the responsibilities of the new big data architect position we are hiring for)

Knowledge of at least one programming language for API's (python, java, etc.)

Experience working with API's and integrating external data sources

Additional knowledge in NOSQL databases (Hadoop) and real-time frameworks (kafka, kinesis, flume, etc.), and AWS.

Financial Services experience

will be kept confidential according to EEO guidelines.


Sonoma Consult logo

About Sonoma Consult

Sourced by ZipRecruiter

Sonoma Consult is a California based C corporation helping companies bring products to the patient by working closely with the engineering teams and the clinicians. Our goal, no matter what stage of product development, is to create and execute a plan of action to move the product through the appropriate clinical and regulatory steps. Sonoma Consult works cohesively with the engineers and physicians to translate technologies to the clinic. Our goal is to help you get the very best product to the clinic and to the market. This includes planning, execution and ensuring critical data is delivered in the right format to ensure the feedback loop to the design team ultimately delivers the most advanced technology to the patient.

Industry

Business management consulting

Company size

1 - 10 Employees

Headquarters location

Sonoma, CA, US