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Data Analysis Assistant Jobs in Nevada (NOW HIRING)

Hamilton Company

Data Analyst

Reno, NV · On-site

This role involves gathering data, performing statistical analysis, and presenting findings to ... Develop and maintain reports and dashboards to track KPIs. * Assist in the development of ...

New

First and Goal Events

Analytics Assistant

Reno, NV

First and Goal Events has an Analytics Assistant opportunity open for a grab. The successful ... Proactively identify opportunities for data analysis and analysis to prioritize daily workflow

First and Goal Events

Analytics Assistant

Reno, NV · On-site

First and Goal Events has an Analytics Assistant opportunity open for a grab. The successful ... Proactively identify opportunities for data analysis and analysis to prioritize daily workflow

DCS Corp

Senior Data Manager

Las Vegas, NV

Primarily assist Operations and Data Analysts in managing and improving data workflows by organizing data, streamlining database processes, and optimizing tools on existing data infrastructures.

DCS CORPORATION

Senior Data Manager

Las Vegas, NV · On-site

Primarily assist Operations and Data Analysts in managing and improving data workflows by organizing data, streamlining database processes, and optimizing tools on existing data infrastructures.

DCS Corporation

Primarily assist Operations and Data Analysts in managing and improving data workflows by organizing data, streamlining database processes, and optimizing tools on existing data infrastructures.

SIEGEL GROUP NEVADA INC

Data Analyst

Las Vegas, NV · On-site

In-depth knowledge of Python, APIs, Data Warehouse, data querying, demand planning, trends analysis ... Ability to create databases from scratch such as SQL or Postgress to assist in data gathering and ...

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All JobsData Analysis JobsData Analysis Assistant JobsData Analysis Assistant Jobs in Nevada

Data Analysis Assistant information

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How much do data analysis assistant jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for data analysis assistant in Nevada is $19.40, according to ZipRecruiter salary data. Most workers in this role earn between $16.39 and $21.78 per hour, depending on experience, location, and employer.

Is AI replacing data analysts?

AI is automating certain tasks within data analysis, such as data cleaning and basic reporting, but it does not replace the role of a data analysis assistant. Human skills like interpreting complex data, making strategic decisions, and communicating insights remain essential. Data analysts and assistants who develop skills in tools like SQL, Python, or data visualization are better positioned to adapt to technological changes.

What are the top 3 skills for a data analyst?

A data analysis assistant should have strong analytical skills to interpret data accurately, proficiency in data manipulation tools like Excel, SQL, or Python, and good communication skills to present findings clearly. Familiarity with data visualization software such as Tableau or Power BI is also valuable. These skills enable effective data-driven decision-making and reporting.

Is 40 too late for data science?

For a Data Analysis Assistant or similar data-related roles, starting a career at 40 is feasible as many employers value experience and analytical skills. Success often depends on acquiring relevant tools like SQL, Python, or Excel, and building a strong portfolio or certifications, regardless of age.

What is the difference between Data Analysis Assistant vs Data Analyst?

AspectData Analysis AssistantData Analyst
Required CredentialsAssociate's degree or relevant certificationsBachelor's degree or higher in related fields
Work EnvironmentSupportive, entry-level roles in offices or teamsIndependent or team-based analysis in various industries
Employer & Industry UsageEntry-level support roles across sectorsData-driven decision-making roles in multiple industries
Common Search & ComparisonOften compared for entry-level data support rolesMore advanced, analytical positions

The Data Analysis Assistant typically performs entry-level support tasks, assisting with data collection and basic analysis, often requiring an associate's degree or certifications. In contrast, Data Analysts handle more complex data interpretation, reporting, and strategic insights, usually holding a bachelor's degree or higher. While both roles work in similar environments, the Data Analyst role involves greater responsibility and independence.

What are the key skills and qualifications needed to thrive as a Data Analysis Assistant, and why are they important?

To thrive as a Data Analysis Assistant, you need a solid background in statistics, data interpretation, and proficiency with spreadsheets, often supported by a relevant degree or coursework. Familiarity with data analysis tools such as Microsoft Excel, SQL, and basic knowledge of programming languages like Python or R is commonly required. Attention to detail, critical thinking, and strong communication skills help you effectively process data and present findings. These competencies are crucial for ensuring accurate data handling, supporting sound business decisions, and enabling effective teamwork.

What does a data analysis assistant do?

A data analysis assistant supports data collection, cleaning, and organization to prepare datasets for analysis. They often use tools like Excel, SQL, or statistical software to identify trends and generate reports under the supervision of data analysts or scientists.

What are some common challenges faced by Data Analysis Assistants when supporting multiple projects simultaneously?

Data Analysis Assistants often juggle several projects at once, which can make prioritizing tasks and managing time a challenge. Balancing the differing data requirements, deadlines, and communication with multiple team members requires strong organizational skills and adaptability. It's important to maintain clear documentation, proactively clarify expectations with project leads, and regularly update stakeholders on progress. Effective use of tools for tracking assignments and deadlines can help ensure accuracy and timely delivery of analyses.
What are the most commonly searched types of Data Analysis jobs in Nevada? The most popular types of Data Analysis jobs in Nevada are:
What are popular job titles related to Data Analysis Assistant jobs in Nevada? For Data Analysis Assistant jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Data Analysis Assistant jobs in Nevada look for? The top searched job categories for Data Analysis Assistant jobs in Nevada are:
What cities in Nevada are hiring for Data Analysis Assistant jobs? Cities in Nevada with the most Data Analysis Assistant job openings:
Data Analysis Assistant jobs near you
Infographic showing various Data Analysis Assistant job openings in Nevada as of June 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $40,355 per year, or $19.4 per hour.
Data Analyst

Data Analyst

Hamilton Company

Reno, NV • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 hours ago

Job description

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.

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.


  • 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.
 
 

  • 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 
 
 

  • 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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