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Assistant Insurance Data Analytics Jobs in Reno, NV

Develop and maintain reports and dashboards to track KPIs. * Assist in the development of ... Stay updated with the latest industry trends and best practices in data analytics. * Document SOPs ...

New

Develop and maintain reports and dashboards to track KPIs. * Assist in the development of ... Stay updated with the latest industry trends and best practices in data analytics. * Document SOPs ...

Develop and maintain reports and dashboards to track KPIs. * Assist in the development of ... Stay updated with the latest industry trends and best practices in data analytics. * Document SOPs ...

New

Candidate should be able to assist business stakeholders in building their dashboards * Supply chain domain knowledge Skill Matrix Skills Years of experience Advanced SQL Data Analytics Tableau Power ...

First and Goal Events has an Analytics Assistant opportunity open for a grab. The successful ... In-depth knowledge and experience with data management platforms, and the ability to examine ...

First and Goal Events has an Analytics Assistant opportunity open for a grab. The successful ... In-depth knowledge and experience with data management platforms, and the ability to examine ...

Capital Insurance Group is seeking a candidate to join our Actuarial & Analytics Department. We ... As a Data Scientist, you will perform in-depth analyses. The results from your projects will ...

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Showing results 1-20

Assistant Insurance Data Analytics information

See Reno, NV salary details

$13

$20

$29

How much do assistant insurance data analytics jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for assistant insurance data analytics in Reno, NV is $20.28, according to ZipRecruiter salary data. Most workers in this role earn between $16.78 and $23.03 per hour, depending on experience, location, and employer.

What is the difference between Assistant Insurance Data Analytics vs Insurance Data Analyst?

AspectAssistant Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsTypically an associate degree or relevant certificationBachelor's degree in data analysis, statistics, or related field
Work EnvironmentSupportive team, entry-level tasks, supervisedMore independent analysis, project ownership
Employer & Industry UsageInsurance companies, supporting rolesInsurance firms, leading data projects
Common Search & ComparisonEntry-level support roleAdvanced data analysis position

In summary, Assistant Insurance Data Analytics roles are entry-level positions supporting data teams, often requiring less experience and focusing on assisting with data tasks. Insurance Data Analysts typically have more experience, handle complex analysis independently, and lead projects within insurance companies.

Infographic showing various Assistant Insurance Data Analytics job openings in Reno, NV as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $42,188 per year, or $20.3 per hour.
Data Analyst

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days 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.