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Data Mining Consultant Jobs (NOW HIRING)

WATI

Informatic Consultant

Los Angeles, CA

$14.50 - $20/hr

... data mining/intelligence; statistically-valid analysis and measurement methodologies; packaging data - infographics and other data display techniques, and report design options; data interpretation ...

ASK Consulting

Data Scientist III

Mountain View, CA · On-site

... data mining to generate business insights. • Design, execute, and evaluate A/B tests and experimentation frameworks. • Define success metrics, experimental design, measurement plans, and ...

New

Nalley Consulting

Data Scientist - Sr

Washington, DC · On-site

Join the Nalley Consulting team as a Data Scientist at DIA Headquarters. Position: Data Scientist ... Experience with data analytics, data mining, statistical analysis, or AI/ML Desired qualifications

Collabera

Data Warehousing - Intermediate

Phoenix, AZ · On-site

$49 - $67/hr

... mining and data analysis tools. Reviews and validates data loaded into the data warehouse for accuracy. Interacts with user community to produce reporting requirements. Provides technical consulting ...

BC Forward

Senior Reporting & Data Analytics

Charlotte, NC · Hybrid

$50 - $50.16/hr

Assessment: Glider - Data Consultant. Score report with all skill categories must be attached ... Perform data mining, aggregation, and trend analysis to identify discrepancies and at-risk controls.

New

Nalley Consulting

Data Scientist - Sr

Washington, DC · On-site

Join the Nalley Consulting team as a Data Scientist at DIA Headquarters. Position: Data Scientist ... Experience with data analytics, data mining, statistical analysis, or AI/ML Desired Qualifications

Nalley Consulting

Data Scientist - Sr

Washington, DC · On-site

Join the Nalley Consulting team as a Data Scientist at DIA Headquarters. Position: Data Scientist ... Experience with data analytics, data mining, statistical analysis, or AI/ML Desired qualifications

1872 Consulting

Applied Data Scientist

Manhattan, NY · On-site

Job Summary : 1872 Consulting is seeking an Applied Data Scientist to work on customer-facing ... data mining and forensic skills • Experience working with customers. Advantage - financial ...

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Data Mining Consultant information

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How much do data mining consultant jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for data mining consultant in the United States is $44.89, according to ZipRecruiter salary data. Most workers in this role earn between $30.29 and $60.10 per hour, depending on experience, location, and employer.

What does a data mining consultant do?

A Data Mining Consultant helps organizations extract valuable insights from large sets of data using specialized techniques and tools. Their work includes analyzing complex data, identifying patterns and trends, and providing actionable recommendations to support business decisions. They may also assist in setting up data mining processes, selecting appropriate algorithms, and ensuring data quality. Data Mining Consultants often work across various industries, helping companies improve efficiency, target customers, or detect fraud.

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

To thrive as a Data Mining Consultant, you need expertise in statistical analysis, data modeling, and a solid background in computer science or a related field, often supported by a relevant degree. Familiarity with data mining tools such as Python, R, SQL, and platforms like SAS or RapidMiner, as well as certifications in data science or analytics, is typically required. Strong problem-solving abilities, communication skills, and the capacity to translate complex data into actionable insights set top consultants apart. These skills are crucial for extracting valuable patterns from data, delivering business solutions, and effectively communicating findings to stakeholders.

What are some common challenges faced by data mining consultants when working with client data, and how can these be addressed?

Data Mining Consultants often encounter challenges such as dealing with incomplete or inconsistent client data, integrating data from multiple sources, and ensuring data privacy and compliance. Addressing these issues typically involves thorough data cleaning, standardizing formats, and working closely with clients to understand their data landscape. Additionally, consultants must stay updated on data regulations and implement robust data security practices to protect sensitive information. Collaborating with client IT teams and stakeholders is key to overcoming these challenges and delivering actionable insights.

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

AspectData Mining ConsultantData Analyst
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; certifications like Certified Analytics ProfessionalBachelor's in Statistics, Mathematics, or related fields; often no specific certifications required
Work EnvironmentConsulting firms, corporate data teams, project-based settingsBusiness, finance, healthcare, or tech companies; in-house or agency roles
Employer & Industry UsageUsed across industries for data-driven decision-making, often in consulting projectsUsed within organizations to analyze data, generate reports, and support business strategies

While both roles involve working with data, Data Mining Consultants focus on extracting insights from large datasets through specialized techniques and often work on client projects. Data Analysts primarily interpret data to produce reports and support operational decisions within a company. The roles overlap in skills and tools but differ in scope and application.

How do I become a data mining consultant?

To become a data mining consultant, you typically need a bachelor's degree in computer science, data science, or a related field, along with strong skills in data analysis, statistical methods, and programming languages like Python or R. Gaining experience with data mining tools and techniques, and obtaining certifications such as Certified Analytics Professional (CAP), can enhance your qualifications. Building a portfolio of projects and developing good communication skills are also important for success in this role.

Is data mining a good career?

Data mining is a viable career for those interested in analyzing large datasets to extract useful information, often requiring skills in statistics, programming, and tools like SQL or Python. It is in demand across industries such as finance, healthcare, and marketing, with opportunities for advancement and specialization. Success in this field typically involves continuous learning and certifications in data analysis or machine learning.

What are popular job titles related to Data Mining Consultant jobs?

For Data Mining Consultant jobs, the most frequently searched job titles are:

Data Mining Consultant jobs near you
Infographic showing various Data Mining Consultant job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $93,381 per year, or $44.9 per hour.

Informatic Consultant

Los Angeles, CA

WATI
See more jobs at WATIexternal

$14.50 - $20/hr

Full-time

Re-posted 25 days ago

Job description

Informatic Consultant

Location: Los Angeles, CA

Duration: 12 months

Skills

Required:

The Informatics Data Analyst will possess knowledge and experience in basic statistical concepts; identifying the trends, business opportunities, and relevant issues; commonly-used demographics and databases; definitions of fields and how data is entered and processed; data mining/intelligence; statistically-valid analysis and measurement methodologies; packaging data – infographics and other data display techniques, and report design options; data interpretation and validation; Ad Hoc analysis/performance evaluation principles; common demographic data bases; SQL coding and report services; data warehouse design; web-based application design; PC skills (e.g. Microsoft Office, Word, Excel, PowerPoint, SAS, Access and Excel); working independently as well as a leadership role in creating process documentation and interfacing with other team members to obtain this information; detailed-oriented; excellent interpersonal, oral and written communication skills; ability to handle multiple tasks; and problem solving and troubleshooting skills.

Skills Preferred: The Informatics Data Analyst will possess knowledge and experience in basic statistical concepts; identifying the trends, business opportunities, and relevant issues; commonly-used demographics and databases; definitions of fields and how data is entered and processed; data mining/intelligence; statistically-valid analysis and measurement methodologies; packaging data – infographics and other data display techniques, and report design options; data interpretation and validation; Ad Hoc analysis/performance evaluation principles; common demographic data bases.

Experience Required: This classification must have a minimum of two (2) years of experience in processing, management, and retrieval of information.

Experience Preferred: Should have experience in the Salesforce platform, specifically for Salesforce Applications Enterprise Architecture, advanced experience with Salesforce configurations, a background in CRM process design and implementations, building standard/custom reports, and dashboards. Experience with enterprise integration tools and extract, transformation, and load (ETL) tools.

Education Required: This classification requires the possession of a bachelor's degree in an IT-related or Engineering field. Additional qualifying experience may be substituted for the required education on a year-for-year basis

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