ZipRecruiter

Log In

1

Data Mining Jobs in Tucson, AZ (NOW HIRING)

SynergisticIT

Data Analyst

Tucson, AZ · On-site

Providing technical expertise in data storage structures, data mining, and data cleansing. Skill Required: * Data Visualization. * Data Cleaning. * MATLAB. * R. * Python. * SQL and NoSQL. * Machine ...

Turner Mining Group

Chief Mine Engineer

Tucson, AZ

$140K/yr

Evaluate methods to optimize ore extraction and mining sequence and prepare trade-off analyses as ... Analyze data and prepare technical memos or presentations to assist in the decision-making process.

Weir

Sales Development Manager - Mining

Tucson, AZ · Remote

Experience with major mining equipment industry suppliers Proficiency in Salesforce and data tools like Power BI and Excel. Entrepreneurial mindset with strong accountability and strategic thinking.

next page

Showing results 1-20

People also search for

All JobsData Mining JobsData Mining Jobs in Tucson, AZ

Data Mining information

See Tucson, AZ salary details

$48.2K

$66.2K

$84.1K

How much do data mining jobs pay per year?

As of May 28, 2026, the average yearly pay for data mining in Tucson, AZ is $66,183.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,000.00 and $80,400.00 per year, depending on experience, location, and employer.

What is a Data Mining job?

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 the Data Mining position, 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.
More about Data Mining jobs
What are the most commonly searched types of Data Mining jobs in Tucson, AZ? The most popular types of Data Mining jobs in Tucson, AZ are:
What are popular job titles related to Data Mining jobs in Tucson, AZ? For Data Mining jobs in Tucson, AZ, the most frequently searched job titles are:
What job categories do people searching Data Mining jobs in Tucson, AZ look for? The top searched job categories for Data Mining jobs in Tucson, AZ are:
Data Mining jobs near you
Infographic showing various Data Mining job openings in Tucson, AZ as of May 2026, with employment types broken down into 3% As Needed, 24% Full Time, 72% Part Time, and 1% Nights. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $66,183 per year, or $31.8 per hour.
Data Analyst

Data Analyst

SynergisticIT

Tucson, AZ • On-site

Other

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

Job description

Data Analyst

Synergistic IT is a full-service staffing and placement firm servicing clients in America for the past 12+ years. We are dedicated towards fulfilling the IT needs of our clients. From staffing to full implementation of projects we provide the highest quality IT Services. We intend to deliver exceptional student outcome. We don't just help you secure a tech job but build a solid career in technology.

Job Description:

  • Managing master data, including creation, updates, and deletion.
  • Managing users and user roles
  • Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems.
  • Generating reports from single or multiple systems.
  • Troubleshooting the reporting database environment and reports
  • Evaluating changes and updates to source production systems.
  • Training end-users on new reports and dashboards.
  • Providing technical expertise in data storage structures, data mining, and data cleansing.

Skill Required:

  • Data Visualization.
  • Data Cleaning.
  • MATLAB.
  • R.
  • Python.
  • SQL and NoSQL.
  • Machine Learning.
  • Linear Algebra and Calculus.

Education Requirement: Bachelors, Masters in Computer Science/ Computer Engineering/ Information Systems/Information Technology/ Electrical Engineering/ Mechanical Engineering.

Benefits:

  • On Job Technical support
  • E- verified
  • Filing of H1b
  • Full time position

Candidate who are missing the required skills, might be provided an option to enhance their skills, so that they can also apply for the role and can make a career in IT industry.

If you do respond via e-mail, please include a daytime phone number so that we can reach you. In considering candidates, time is of the essence, so please respond ASAP. Thank you

Apply