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Data Mining Jobs in Reno, NV (NOW HIRING)

Hamilton Company

Data Analyst

Reno, NV · On-site

This role involves gathering data, performing statistical analysis, and presenting findings to stakeholders. Job duties and responsibilities: * Collect, analyze, and interpret data to support ...

Hamilton Company

Data Analyst

Reno, NV

This role involves gathering data, performing statistical analysis, and presenting findings to stakeholders. Job duties and responsibilities: * Collect, analyze, and interpret data to support ...

Hamilton Company

Data Analyst

Reno, NV

This role involves gathering data, performing statistical analysis, and presenting findings to stakeholders. Job duties and responsibilities: * Collect, analyze, and interpret data to support ...

Hamilton Company

Data Analyst

Reno, NV · On-site

This role involves gathering data, performing statistical analysis, and presenting findings to stakeholders. Job duties and responsibilities: * Collect, analyze, and interpret data to support ...

Kanak Elite Services Inc

Data Analyst

Sattley, CA · On-site

Position : Data Analyst Location : Santa Clara, CA Onsite - Local Only Duration : Long term contract Description: * Strong in advance SQL * Good at data analysis * Should be able to build BI ...

Bespoke Labs

Data Engineer

Sparks, NV · On-site

$117K - $140K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

Bespoke Labs

Data Engineer

Carson City, NV · On-site

$112K - $134K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

Elemental Brands

Accounting Data Analyst

Reno, NV · On-site

As an Accounting Data Analyst, you'll turn complex sales and financial data--like commissions, rebates, and key performance metrics--into meaningful insights that drive accuracy and impact. You'll ...

Elemental Brands

Accounting Data Analyst

Reno, NV · On-site

As an Accounting Data Analyst, you'll turn complex sales and financial data-like commissions, rebates, and key performance metrics-into meaningful insights that drive accuracy and impact. You'll ...

Elemental LED, Inc.

Accounting Data Analyst

Reno, NV · On-site

As an Accounting Data Analyst, you'll turn complex sales and financial data-like commissions, rebates, and key performance metrics-into meaningful insights that drive accuracy and impact. You'll ...

BitDeer

Production Planner

Sparks, NV · On-site

Bitdeer is committed to providing comprehensive Bitcoin mining solutions for its customers and ... Headquartered in Singapore, Bitdeer has deployed data centers across multiple countries, including ...

ALS

Metallurgical Engineer - Junior

Reno, NV

$82K - $101K/yr

Summarize data for interpretation, and present data in a suitable format, write final technical ... Represent ALS Metallurgy at trade shows, conferences, mining shows, etc. as required; these events ...

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All JobsData Mining JobsData Mining Jobs in Reno, NV

Data Mining information

See Reno, NV salary details

$50.9K

$69.8K

$88.7K

How much do data mining jobs pay per year?

As of Jul 18, 2026, the average yearly pay for data mining in Reno, NV is $69,794.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,800.00 and $84,800.00 per year, depending on experience, location, and employer.

What does a data miner do?

A data miner analyzes large datasets to identify patterns, trends, and useful information that can support decision-making. They use tools like SQL, Python, or specialized software to extract and interpret data, often working in environments that require strong analytical and technical skills. Data mining is essential in fields like marketing, finance, and healthcare for uncovering insights and improving strategies.

Is data mining a good career?

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

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.

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.

Is 40 too late for data science?

Data mining is a key skill in data science, and professionals can enter the field at any age. Success depends on acquiring relevant skills such as programming, statistics, and tools like SQL or Python, regardless of age, making 40 not too late to start a career in data science.

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 the most commonly searched types of Data Mining jobs in Reno, NV? The most popular types of Data Mining jobs in Reno, NV are:
What are popular job titles related to Data Mining jobs in Reno, NV? For Data Mining jobs in Reno, NV, the most frequently searched job titles are:
What job categories do people searching Data Mining jobs in Reno, NV look for? The top searched job categories for Data Mining jobs in Reno, NV are:
Data Mining jobs near you
Data Analyst

Data Analyst

Hamilton Company

Reno, NV • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Company Overview

Hamilton Company is a worldwide leader in the design and manufacture of manual, semi-automated and robotic products for precision fluid measuring. We specialize in the development, manufacturing and customization of precision measurement devices, automated liquid handling stations, and sample management systems. For more than 60 years, Hamilton has been satisfying customer needs by combining quality materials with skilled workmanship, ensuring the highest level of performance of every precision fluid measuring device we manufacture.

Responsibilities

The Analyst is responsible for conducting data analysis to support business operations and decision making. This role involves gathering data, performing statistical analysis, and presenting findings to stakeholders. 

Job duties and responsibilities: 

  • Collect, analyze, and interpret data to support business operations. 

  • Develop and maintain reports and dashboards to track KPIs. 

  • Assist in the development of analytical models to solve business problems. 

  • Communicate data findings to stakeholders in a clear and concise manner. 

  • Collaborate with team members to identify and address business needs. 

  • Stay updated with the latest industry trends and best practices in data analytics. 

  • Document SOPs for internal and external teams.

This role is located in Reno, NV and requires working onsite.

Qualifications

  • Proficiency in data analysis tools and software (SQL, Python, R, Power BI)
  • Ability to present complex data findings in a clear and concise manner to stakeholders. 
  • High level of accuracy and attention to detail. 
  • Ability to work effectively on a team. 
  • Strong interpersonal skills to prioritize and meet deadlines.
  • Willingness to learn and adapt to new tools, technologies, and methodologies. 
  • Ability to stay updated with industry trends and best practices in data analytics.

Education/Experience

  • Bachelor's degree in data science, Economics, or a related field.

  • 1+ years of experience in data analysis or a related field.

  • Ability to explore and validate measures and tables against source data. 

  • Excellent written and verbal communication skills.    

  • Experience with CRM analytics and data (HubSpot). 
  • Proven ability to establish and maintain trusting relationships with high level stakeholders 

About Hamilton

  • Established, stable, and reliable company.
  • Comprehensive benefits package: medical, dental, vision insurance; paid vacation and sick time; disability insurance; 401(k); tuition reimbursement; and more.
  • Engaging and innovative design projects.
  • Strong opportunities for professional growth.
  • Commitment to sustainable design practices.
  • Personal Protective Equipment (PPE) may be required (provided by employer).
  • Drug and background screenings required.

Equal Employment Opportunity - It is the policy of this organization to provide equal employment opportunities to all qualified applicants without regard to race, creed, color, national origin, sex, age 40 and over, disability, marital status, sexual orientation, gender identity, genetic information, citizenship status, religious preference, or veteran status in all phases of the employment process and in compliance with applicable federal, state, and local laws and regulations.

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