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Manager Data Mining Jobs in Arizona (NOW HIRING)

... Talent Management, Value Added Services through CLASS (Competency Leveraged Advanced Staffing ... Uses data mining and data analysis tools. Reviews and validates data loaded into the data warehouse ...

Together and with our mining clients, we will create a lasting community benefit making water ... report writing, data management & interpretation, project coordination, and managing clients.

Together and with our mining clients, we will create a lasting community benefit making water ... report writing, data management & interpretation, project coordination, and managing clients.

Underground Mining Engineer

Chandler, AZ · On-site

$85K - $123K/yr

From approval and permitting to design and construction management services, we put the goals of ... Proficiency in compiling and presenting data (PowerBI, Excel, PowerPoint) * Strong communication ...

Underground Mining Engineer

Phoenix, AZ · On-site

$85K - $123K/yr

From approval and permitting to design and construction management services, we put the goals of ... Proficiency in compiling and presenting data (PowerBI, Excel, PowerPoint) * Strong communication ...

Connect to other data sources to collect information for data mining and analysis * Integrate data ... Excellent organizational and time management skills * Good working ethics and ability to treat ...

Connect to other data sources to collect information for data mining and analysis * Integrate data ... Excellent organizational and time management skills * Good working ethics and ability to treat ...

Origin Mining Company operates the Mineral Park copper-molybdenum mine in Arizona and is focused on ... Analyze production data and key performance indicators to identify opportunities for operational ...

Origin Mining Company operates the Mineral Park copper-molybdenum mine in Arizona and is focused on ... Analyze production data and key performance indicators to identify opportunities for operational ...

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Manager Data Mining information

Is 40 too late for data science?

For a Manager in Data Mining or related data science roles, starting or transitioning at age 40 is feasible, as the field values experience, analytical skills, and continuous learning. Many professionals successfully enter or advance in data science later in their careers by acquiring relevant skills such as programming, statistics, and tools like Python or SQL, often through certifications or online courses.

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

AspectManager Data MiningData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related field; experience in data mining and team managementBachelor's degree in Statistics, Data Science, or related field; proficiency in data analysis tools
Work EnvironmentLeads data mining teams, collaborates with multiple departments, oversees projectsAnalyzes data sets, prepares reports, supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare industries for strategic insightsCommon across various industries for operational analysis

The main difference is that a Manager Data Mining oversees data mining projects and teams, focusing on strategic implementation, while a Data Analyst primarily conducts data analysis and reporting. Managers handle higher-level planning and coordination, whereas Data Analysts focus on data interpretation and insights.

What is the highest paid job in mining?

In the mining industry, senior roles such as Mining Directors, Chief Geologists, and Operations Managers tend to be the highest paid, often earning six-figure salaries. These positions require extensive experience, leadership skills, and knowledge of mining operations, safety standards, and regulatory compliance.

Is data mining a good career?

Data mining is a valuable career in data analysis and business intelligence, involving extracting insights from large datasets using tools like SQL, Python, and machine learning algorithms. It offers strong job growth, competitive salaries, and opportunities across various industries, especially for those with analytical skills and experience in data management. Continuous learning and certifications can enhance career prospects in this field.

What is the salary of a data manager?

The salary of a data manager typically ranges from $70,000 to $120,000 annually, depending on experience, industry, and location. Senior data managers with specialized skills in data analysis and management tools may earn higher salaries, often exceeding $130,000. Certifications like Certified Data Management Professional (CDMP) can also influence compensation.
What are the most commonly searched types of Data Mining jobs in Arizona? The most popular types of Data Mining jobs in Arizona are:
What are popular job titles related to Manager Data Mining jobs in Arizona? For Manager Data Mining jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Manager Data Mining jobs in Arizona look for? The top searched job categories for Manager Data Mining jobs in Arizona are:
What cities in Arizona are hiring for Manager Data Mining jobs? Cities in Arizona with the most Manager Data Mining job openings:
Infographic showing various Manager Data Mining job openings in Arizona as of June 2026, with employment types broken down into 3% As Needed, 64% Full Time, 30% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Warehousing - Intermediate

Collabera

Phoenix, AZ

$49 - $67/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago


Job description

Company Description

About Collabera:

Established in 1991, Collabera has been a leader in IT staffing for over 22 years and is one of the largest diversity IT staffing firms in the industry. As a half a billion dollar IT company, with more than 9,000 professionals across 30+ offices, Collabera offers comprehensive, cost-effective IT staffing & IT Services. We provide services to Fortune 500 and mid-size companies to meet their talent needs with high quality IT resources through Staff Augmentation, Global Talent Management, Value Added Services through CLASS (Competency Leveraged Advanced Staffing & Solutions) Permanent Placement Services and Vendor Management Programs. 

Collabera recognizes true potential of human capital and provides people the right opportunities for growth and professional excellence. Collabera offers a full range of benefits to its employees including paid vacations, holidays, personal days, Medical, Dental and Vision insurance, 401K retirement savings plan, Life Insurance, Disability Insurance.

Job Description

Position Details:

Industry Banking and Financial

Job Title Data Warehousing - Intermediate

Location: 3202 W Behrend Dr., Phoenix, AZ - 85027

Duration 04+ Months (Very High Possibility of Extension)

Job Summary:

Responsible for gathering and assessing business information needs and preparing system requirements.

Performs analyses, development and evaluation of data mining in a data warehouse environment which includes data design, database architecture, metadata and repository creation. 

Uses data 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 to users of the various data warehouses and advises users on conflicts and inappropriate data usage.

Responsible for prototyping solutions, preparing test scripts, and conducting tests and for data replication, extraction, loading, cleansing, and data modeling for data warehouses.

Maintains knowledge of software tools, languages, scripts, and shells that effectively support the data warehouse environment in different operating system environments.

Possesses working knowledge of Relational Database Management Systems (RDBMS) and data warehouse front-end tools.

Must have an extensive knowledge of data warehouse and data mart concepts.

Typically has 3 to 5 years of IT work experience in business intelligence tools and systems.


Additional Information

To know more on this position or to schedule an interview, please contact:

Vishwas Jaggi

973-475-7482