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Remote Data Mining Jobs in Tucson, AZ (NOW HIRING)

Bradken

Business Development Specialist

Tucson, AZ · On-site +1

... regional mining clients. In this fully remote position, you will be the spearhead for our Fixed ... Proficiency in Salesforce (CRM) and data-driven decision-making (Preferred but not mandatory)

Office of the Inspector General

Data Scientist

Tucson, AZ · On-site +1

$50K - $100K/yr

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 ...

Office of the Inspector General

Data Scientist

Tucson, AZ · On-site +1

$74K - $172K/yr

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 ...

All JobsData Mining JobsRemote Data Mining JobsRemote Data Mining Jobs in Tucson, AZ

Remote Data Mining information

See Tucson, AZ salary details

$43.5K

$156K

$230.2K

How much do remote data mining jobs pay per year?

As of Aug 30, 2026, the average yearly pay for remote data mining in Tucson, AZ is $156,021.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,200.00 and $160,700.00 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 Tucson, AZ?

The most popular types of Data Mining jobs in Tucson, AZ are:

What are popular job titles related to Remote Data Mining jobs in Tucson, AZ?

For Remote Data Mining jobs in Tucson, AZ, the most frequently searched job titles are:

What job categories do people searching Remote Data Mining jobs in Tucson, AZ look for?

The top searched job categories for Remote Data Mining jobs in Tucson, AZ are:

What cities near Tucson, AZ are hiring for Remote Data Mining jobs?

Cities near Tucson, AZ with the most Remote Data Mining job openings:

Remote Data Mining jobs near you
Infographic showing various Remote Data Mining job openings in Tucson, AZ as of August 2026, with employment types broken down into 2% Internship, 73% Full Time, 10% Part Time, 3% Temporary, and 12% Contract. Highlights an 100% Remote job distribution, with an average salary of $156,021 per year, or $75 per hour.

Remote Data Analyst / HR

Tucson, AZ • Remote

Jobsultant Solutions
See more jobs at Jobsultant Solutionsexternal

Contractor

Re-posted 16 days ago

Job description

The Nations 2nd largest Technical Staffing and Services Firm, has an opening for a Remote Analyst at a global leader in retail pharmacy for a 6-month contract with the opportunity for extension or conversion.

Summary:

The Walgreens Merchandise Planning Analytics team manages reporting, analysis, and tool building for the Walgreens Merchandising team. They support a team of 100+ merchants and 40+ planners to optimize performance of the Walgreens Front End (non-Pharmacy) businesses.

Work Environment:

  • 100% remote - must work in CST
  • 8am-5pm (9 hour day with one hour lunch break 12pm-1pm).
    • The hours can be flexible per above but minimally need 30 hours a week in order to fulfill the business needs

Responsibilities:

  • Own Brand (private label) reporting, recapping, tracking, and analysis, including ad-hoc analysis based on business needs
  • Item level historical analysis and recapping
  • Item level future looking forecast
  • Scope will be thousands of Own Brand items (at item level)
  • System/ tool used is Excel
  • Project will involve complex excel formulas and ability to synthesize large data sets into meaningful executive recaps

Top Must-Have Skills:

  • Bachelors Degree and at least 3-5 year of experience in one or more of the following: analytics, data science, finance, financial analysis, assortment planning, retail, procurement/purchasing, merchandising
  • Minimum 3 years experience in data analytics or other related field with strong understanding of retail merchandising basics (i.e. category management) and merchandising organization structures and processes
  • Outstanding analytical and problem-solving skills partnered with storytelling finesse
  • Ability to conduct complex quantitative analysis and build analytical models using Microsoft Excel
  • Ability to communicate effectively and succinctly both verbally and in writing via Microsoft PowerPoint
  • Ability to manage and prioritize multiple assignments and meet tight deadlines
  • Ability to develop effective working relationships with Merchandising, Planning, Finance and other stakeholders
  • Ability to work independently and adapt to changing work priorities
  • Retail math background; skills such as item level forecasting based on demand patterns or sell through/ sales/ profit goals, knowledge of sales by type and AUR impacts, all inventory and sales metrics
  • Intermediate/Advanced level skill in Microsoft Excel (for example: using SUM/SUMIFS, Subtotals, VLOOKUP, HLOOKUP, Macros, Pivot tables) - CRITICAL SKILL NEEDED FOR ROLE, most work will be done in excel
  • Intermediate level skill in Microsoft Word and PowerPoint

Top Nice-to-Have Skills:

  • MBA preferred; Science, Technology, Engineering, Mathematics and/or other quantitative analytical degree a plus
  • Data science experience
  • Retail experience
  • SQL Coding, Microsoft Access, Macro building

Education / Experience Requirements:

  • 3-5 year experience in Analytics or Data Science, Merchandising background

Equal Opportunities

Optimere is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Optimere does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age or any other basis protected by applicable

PLEASE NOTE: Optimere is unable to sponsor visas at this time. You must be a US Citizen or Permanent Resident authorized to work in the US.

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