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Data Mining Specialist Jobs (NOW HIRING)

Apptad, Inc.

Data Analyst with AI

Plano, TX · On-site

Data Analyst Data Mining Specialist AIDriven Analytics Prompt Engineering Job Summary * We are seeking a highly skilled Data Analyst Data Mining Specialist with expertise in AIenabled analytics ...

Omni Inclusive

Quality - Data Entry Specialist

Devens, MA · On-site

$19 - $25.25/hr

Data Entry Specialist In the Data Entry Specialist role candidate will be responsible for entry and ... mining completed Manufacturing Batch Records when necessary. Candidates will also be asked to ...

Via Logic LLC

Data Scientist

Springfield, VA · On-site

$92.30 - $166.85/hr

Position Overview Leidos has an opening for an Exploitation Specialist/Data Scientist - Senior ... Programming (Python/Pig/Java/JS/SQL/R), spatial analysis, data mining, database structures ...

Cotiviti

Payment Accuracy Specialist*

Cotiviti's Data Mining team configures custom claim reviews to investigate untapped billing ... A Payment Accuracy Data Mining (DM) Specialist is responsible for auditing client data and ...

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Data Mining Specialist information

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$28K

$72.9K

$88K

How much do data mining specialist jobs pay per year?

As of Aug 27, 2026, the average yearly pay for data mining specialist in the United States is $72,947.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,000.00 and $87,000.00 per year, depending on experience, location, and employer.

What does a data mining specialist do?

A Data Mining Specialist is responsible for analyzing large sets of data to identify patterns, trends, and insights that help organizations make informed decisions. They use statistical methods, machine learning algorithms, and specialized software to extract valuable information from structured and unstructured data. Their work often involves cleaning and preprocessing data, designing data models, and communicating findings to stakeholders. Data Mining Specialists play a crucial role in fields such as marketing, finance, healthcare, and retail by enabling data-driven strategies and solutions.

What are the key skills and qualifications needed to thrive as a data mining specialist?

To thrive as a Data Mining Specialist, you need a strong background in statistics, data analysis, and computer science, often supported by a relevant degree such as in mathematics, computer science, or data science. Proficiency with tools and programming languages like SQL, Python, R, and data mining platforms such as RapidMiner or SAS is typically required. Analytical thinking, attention to detail, and effective communication skills help distinguish top performers in this field. These skills are crucial for accurately extracting insights from complex datasets and effectively communicating findings to drive business decisions.

What are some common challenges faced by data mining specialists when working with large and complex datasets?

Data Mining Specialists often encounter challenges related to data quality, such as handling missing or inconsistent data, and ensuring data privacy and security. Working with large and complex datasets can also strain computational resources, requiring efficient algorithms and sometimes the use of distributed computing environments. Additionally, translating raw data findings into actionable insights for non-technical stakeholders can be demanding, necessitating strong communication and data visualization skills. Collaborating closely with data engineers, analysts, and domain experts helps overcome these challenges and ensures meaningful results.

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

AspectData Mining SpecialistData Analyst
Primary FocusExtracting patterns and insights from large datasets using advanced techniquesInterpreting data to identify trends and support decision-making
Skills & ToolsData mining, machine learning, SQL, Python, RData visualization, Excel, SQL, statistical analysis
Work EnvironmentData warehouses, research labs, tech companiesBusiness environments, marketing, finance departments
Common CertificationsCertified Data Mining Professional, SAS certificationsMicrosoft Excel Certification, Google Data Analytics

While both roles analyze data, a Data Mining Specialist focuses on uncovering hidden patterns using advanced techniques, whereas a Data Analyst interprets data to inform business decisions. The roles often overlap but differ in technical depth and scope.

Is data mining a good career?

Data mining specialists analyze large datasets to extract useful information, often using tools like SQL, Python, or R. It is a growing field with strong demand across industries such as finance, healthcare, and marketing, offering opportunities for advancement and specialization.
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What states have the most Data Mining Specialist jobs?

States with the most job openings for Data Mining Specialist jobs include:

What job categories do people searching Data Mining Specialist jobs look for?

The top searched job categories for Data Mining Specialist jobs are:

Data Mining Specialist jobs near you
Infographic showing various Data Mining Specialist job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $72,947 per year, or $35.1 per hour.

Data Analyst with AI

Apptad, Inc.

Plano, TX • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Description:
Data Analyst Data Mining Specialist AIDriven Analytics Prompt Engineering
Job Summary
  • We are seeking a highly skilled Data Analyst Data Mining Specialist with expertise in AIenabled analytics prompt engineering Splunk and Dynatrace Performance Engineering Analysis

Key Responsibilities
  • AIDriven Analytics Prompt Engineering
  • Design test and optimize AI prompts in Copilot to
  • Accelerate data exploration and root cause analysis
  • Automate insight generation from structured and unstructured data
  • Develop reusable prompt frameworksplaybooks for common business use cases eg incident trends capacity risk KPI variance
  • Partner with engineering teams to embed AIdriven analysis into workflows AIOps dashboards reporting
  • Validate AIgenerated outputs for accuracy bias and business relevance
  • Data Analysis Insight Generation
  • Analyze large datasets to identify patterns trends and anomalies
  • Use statistical techniques to generate insights and support business decisions
  • Translate data findings into clear business narratives and recommendations
  • Support predictive and diagnostic analytics initiatives
  • Data Mining Advanced Modeling
  • Using Incident data apply advanced techniques clustering classification anomaly detection to uncover hidden patterns
  • Build and maintain predictive models leveraging machine learning and AI
  • Perform exploratory data analysis to uncover unknown relationships in data
  • Reporting Visualization AIEnabled Storytelling
  • Build dashboards and visualizations Power BI Tableau etc to communicate insights
  • Use AI tools to generate automated summaries trend explanations and executivelevel reporting
  • Present findings to leadership with clear actionable recommendations
  • Business Collaboration Decision Support
  • Collaborate with stakeholders to define KPIs and analytics requirements
  • Use AIassisted querying and analysis to respond rapidly to business questions
  • Support strategic initiatives with datadriven insights
  • Data Governance Quality Responsible AI
  • Ensure data accuracy integrity and consistency
  • Establish validation frameworks for AIgenerated insights and outputs
  • Support governance auditability and compliance requirements critical in regulated environments
  • Maintain documentation of models prompts and analytical workflows

Key Deliverables
  • AIenhanced analytical models and datasets
  • Prompt libraries reusable AI playbooks
  • Executive dashboards and automated reports
  • Predictive insights and anomaly detection outputs
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About Apptad

Sourced by ZipRecruiter

Apptad offers strategic consulting, enterprise information management and digital transformation services. With globally connected offices in US and India along with a team of trained and certified IT resources, Apptad ensures quick and effective delivery to its customers.Apptad is relentlessly reinventing the outlook of how companies leverage data. With an effort to enable our customers the ability to solve biggest problems within their organization. We perceive our clients’ problems and respond with custom solutions instead of handing over boilerplate responses.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Reston, VA, US

Year founded

2018

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