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Assistant Insurance Data Analytics Jobs in Reno, NV

Kanak Elite Services Inc

Data Analyst

Sattley, CA · On-site

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 ...

Elemental LED, Inc.

Accounting Data Analyst

Reno, NV · On-site

... trends * Assist with audit requests by preparing supporting schedules, documentation, and ... Bachelor's degree in Accounting, Information Systems, Data Analytics or related fields * Minimium ...

Elemental LED, Inc.

Accounting Data Analyst

Reno, NV · On-site

... trends * Assist with audit requests by preparing supporting schedules, documentation, and ... Bachelor's degree in Accounting, Information Systems, Data Analytics or related fields * Minimium ...

First and Goal Events

Analytics Assistant

Reno, NV

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

Analytics Assistant

Reno, NV · On-site

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

Data Scientist

Reno, NV · On-site

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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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 May 30, 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.

Assistant Insurance Data Analytics jobs near you

Data Analyst

Kanak Elite Services Inc

Sattley, CA • On-site

Contractor

Posted 29 days ago

Job description

Hello There,

My name is Himanshu Sharma, and I serve as the Recruitment Lead at Kanak-IT INC. I am reaching out to share an excellent career opportunity for the role of Data Analyst with our esteemed client. If you are interested then please share your updated resume.

Job Description

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 dashboards using Tableau & Power BI
  • 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 BI 

AWS

Databricks

Thanks & Regards

Himanshu Sharma

Recruitment Lead

Email : Himanshu01@kanakits.com

LinkedIn : https://www.linkedin.com/in/himanshustaffingexpert/

Kanak IT is an equal opportunity employer. We consider all applicants for employment without regard to citizenship, immigration status, race, gender, disability, or any other protected category.