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Remote Data Mining Jobs in Arizona (NOW HIRING)

Data Engineer III

Chandler, AZ · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... and data connectivity anywhere in the world. For over 20 years, Iridium's unique network and ... and remote operations all rely on Iridium to stay connected. We take our responsibility for ...

Data Engineer III

Chandler, AZ · Remote

$110K - $132K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... and data connectivity anywhere in the world. For over 20 years, Iridium's unique network and ... and remote operations all rely on Iridium to stay connected. We take our responsibility for ...

Lead Data & AI Engineer

Phoenix, AZ · On-site +1

$50 - $60/hr

Phoenix, AZ (hybrid remote) Type: 6-month contract to hire Pay: $50-60/hr We're looking for a Lead Data & AI Engineer to lead the design and delivery of secure, scalable data and AI solutions within ...

Contact Center Data Analyst

Phoenix, AZ · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This position is local to our corporate campus located in Phoenix, AZ and is ineligible for fully remote work. As a Data Analyst, team members will be responsible for evaluating and improving U-Haul ...

Lead Engineer, Data Platforms

Tempe, AZ · On-site +1

$111K - $133K/yr

This position is eligible for remote work within any state Dutch Bros currently resides in (AL, AZ, CA, CO, FL, ID, KS, KY, MO, NM, NV, OK, OR, TN, TX, UT, WA, WY) Key Result Areas (KRAs): Assess ...

Data Analyst

Phoenix, AZ · Remote

$5.7K - $6.5K/mo

Manager, Data Services Base Location: AZ or CO Work Status: Virtual Office Minimum Starting Monthly Range: $5,757 Hiring Range (Monthly Pay): $5,757 - $6,583 Full-time / Part-time Full-time Exempt ...

Data Analyst

Phoenix, AZ · Remote

$5.7K - $6.5K/mo

Manager, Data Services Base Location: AZ or CO Work Status: Virtual Office Minimum Starting Monthly Range: $5,757 Hiring Range (Monthly Pay): $5,757 - $6,583 Full-time / Part-time Full-time Exempt ...

Data Scientist

Tucson, AZ · On-site +1

$50K - $100K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Extracting data from internal/external data sources and provided files using prescribed tools, scripts, or step-by-step procedures; performing basic cleaning tasks; and loading into approved ...

Data Scientist

Tucson, AZ · On-site +1

$74K - $172K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The incumbent will serve as a Data Scientist, responsible for utilizing scientific methodologies, process, algorithms, and systems to extract insights from structured and unstructured data and to ...

Data Engineer

Tempe, AZ · On-site +1

$174K - $261K/yr

What you'll do As a member of our Data Platform team, you'll help build infrastructure and tools for collecting and processing data in streaming and batch pipelines. Your work will power access to ...

Senior Data Analyst

Phoenix, AZ · Remote

$6.9K - $8.0K/mo

Manager, Data Services Base Location: AZ or CO Work Status: Virtual Office Minimum Starting Monthly Range: $6,943 Hiring Range (Monthly Pay): $6,943 - $8,083 Full-time / Part-time Full-time Exempt ...

Data Analyst Senior

Phoenix, AZ · On-site +1

$107K - $155K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

The Data Analyst Senior cleans up data for analysis and/or visual display in a report or dashboard, or they work out details regarding data access to support a project. Our Data Analysts favorite ...

Showing results 21-40

Remote Data Mining information

See Arizona salary details

$42.9K

$153.8K

$226.9K

How much do remote data mining jobs pay per year?

As of Aug 18, 2026, the average yearly pay for remote data mining in Arizona is $153,778.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,400.00 and $158,400.00 per year, depending on experience, location, and employer.

What is remote data mining?

A Remote Data Mining job involves extracting, processing, and analyzing large datasets to uncover patterns, trends, and insights—all while working from a remote location. Professionals in this field use statistical methods, machine learning techniques, and specialized software to transform raw data into actionable insights. These roles are common in industries like finance, marketing, healthcare, and e-commerce, where data-driven decision-making is essential. Remote data miners typically collaborate with teams via digital communication tools and may need proficiency in programming languages like Python or R.

What skills and qualifications are needed for remote data mining?

To thrive as a Remote Data Mining professional, you need strong analytical abilities, statistical knowledge, proficiency in programming languages such as Python or R, and a background in computer science, data science, or a related field. Expertise in data mining tools like SQL, RapidMiner, or Weka and familiarity with data visualization platforms are highly valued, and certifications in data analytics can be advantageous. Attention to detail, problem-solving skills, and effective communication are important soft skills for collaborating remotely and presenting insights to stakeholders. These skills enable you to extract valuable patterns and insights from large datasets while working independently and aligning with organizational goals.

What are common challenges faced by remote data mining professionals, and how can they be addressed?

Remote data mining professionals often encounter challenges such as managing large and complex datasets, ensuring data privacy, and maintaining effective communication with distributed teams. Addressing these challenges typically involves leveraging secure cloud storage solutions, utilizing robust data analysis tools, and adopting clear documentation and regular virtual meetings to stay aligned on project goals. Additionally, building strong time management habits and being proactive in seeking feedback from team members can help remote data miners stay productive and engaged. Most organizations provide access to collaboration platforms and training to help overcome these obstacles, ensuring a supportive and efficient remote work environment.

How do you become a remote data mining?

To become a remote data miner, you typically need a strong foundation in data analysis, statistics, and programming languages such as Python or R. Gaining experience with data mining tools, databases, and machine learning techniques, along with relevant certifications or degrees, can improve your chances of securing a remote position in this field.

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 cities in Arizona are hiring for Remote Data Mining jobs?

Cities in Arizona with the most Remote Data Mining job openings:

Infographic showing various Remote Data Mining job openings in Arizona as of August 2026, with employment types broken down into 5% Internship, 89% Full Time, and 6% Part Time. Highlights an 100% Remote job distribution, with an average salary of $153,778 per year, or $73.9 per hour.

Enterprise Data Analyst II

First Citizens Bank

Phoenix, AZ • Remote

Full-time

Re-posted 10 days ago


First Citizens Bank rating

7.4

Company rating: 7.4 out of 10

Based on 106 frontline employees who took The Breakroom Quiz

106th of 171 rated banks


Job description

Overview

This is a remote role that may only be hired in the following locations: (Charlotte, NC, Raleigh, NC or Phoenix, AZ)

This position leads Bank initiatives that improve enterprise data quality, governance, reporting, and analytics at an advanced level of ability and technical expertise. Drives positive change across the Bank through technical innovation and continuous improvement initiatives, as well as through cross-functional partnership with other business units. Provides expert consultation to team members, the Information Technology department, and other stakeholders on strategies that achieve data management goals. May provide leadership to less experienced consultants in the work group. 


Responsibilities

Data Enhancement & Analytics 

  • Leads the implementation of enhancements to enterprise data quality, storage, and management within the Enterprise Data Warehouse. 
  • Executes initiatives for data profiling, issue resolution, and system fixes. 
  • Supports and delivers special data-focused initiatives aligned to business needs. 

Business Support & Governance 

  • Enforcesenterprise data policies, standards, and governance practices. 
  • Conducts month-end data validations to ensure accuracy, completeness, and readiness for business use. 
  • Collaborates with stakeholders to identify gaps and improve data management processes. 
  • Provides training, guidance, and mentorship to junior team members as needed. 

Business Strategy & Stakeholder Collaboration 

  • Supports the development and execution of enterprise data strategy and roadmap. 
  • Works cross-functionally to strengthen data management capabilities across business units. 
  • Maintains current knowledge of emerging technologies, tools, and trends within financial services and data management. 
  • Serves as a liaison between business, data, and technology teams to ensure alignment and successful delivery. 

Documentation & Data Management 

  • Creates and maintains technical documentation including: 
  • Source-to-target mappings 
  • Data dictionaries 
  • Data lineage and governance artifacts 
  • Develops and manages centralized, business-critical reporting assets. 

Agile Delivery & Execution 

  • Achieves Agile cadence by actively participating in all ceremonies (sprint planning, daily stand-ups, reviews, and retrospectives). 
  • Ensures work is managed consistently through Agile frameworks and best practices. 
  • Performs accurate estimation, backlog refinement, and capacity planning to support reliable delivery. 

Backlog Quality & Delivery Readiness 

  • Establishes and enforces a Definition of Ready (DoR) for all backlog items. 
  • Ensures at least 90% of user stories meet DoR standards prior to sprint intake, including: 
  • Clear linkage to parent Jira issue types 
  • Well-defined acceptance criteria 
  • User test cases 
  • Data mapping requirements 
  • Improves delivery efficiency and reduces rework through consistent backlog quality standards. 

Outcome Focus 

  • Delivers high-quality, reliable enterprise data solutions. 
  • Improves data integrity, governance, and reporting accuracy. 
  • Strengthens Agile delivery discipline and predictability. 
  • Enables better business decision-making through trusted data and analytics. 

Qualifications

Bachelor's Degree and 4 years of experience in Data Management, Financial Analysis, or similar OR High School Diploma or GED and 8 years of experience in Data Management, Financial Analysis, or similar

Preferred:

  • Experience as Strong Data analyst in Agile environment 
  • Deep expertise and 15+ years of experience in Data Analysis, Data warehouse and Analytics  
  • Hardcore data analyst with broad experience desired in data warehousing, documenting business processes, data governance & data integration  
  • Data wizard with hands on data analysis, profiling, and advanced PL/SQL skills 
  • Excellent presentation, listening, and writing skills with ability to lead workstreams independently 
  • Experience with data modelling, data analysis, data visualization, API’s and real time services preferred 
  • Full understanding and hands on experience of waterfall and agile development practices  
  • Excellent written and verbal communication skills with both internal and external stakeholders 
  • Domain experience in Customer Data, Marketing Data and systems is highly preferred 

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Qualifications:

Bachelor's Degree and 4 years of experience in Data Management, Financial Analysis, or similar OR High School Diploma or GED and 8 years of experience in Data Management, Financial Analysis, or similar

Preferred:

  • Experience as Strong Data analyst in Agile environment 
  • Deep expertise and 15+ years of experience in Data Analysis, Data warehouse and Analytics  
  • Hardcore data analyst with broad experience desired in data warehousing, documenting business processes, data governance & data integration  
  • Data wizard with hands on data analysis, profiling, and advanced PL/SQL skills 
  • Excellent presentation, listening, and writing skills with ability to lead workstreams independently 
  • Experience with data modelling, data analysis, data visualization, API’s and real time services preferred 
  • Full understanding and hands on experience of waterfall and agile development practices  
  • Excellent written and verbal communication skills with both internal and external stakeholders 
  • Domain experience in Customer Data, Marketing Data and systems is highly preferred 

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Education:UNAVAILABLEEmployment Type: FULL_TIME

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