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Associate In Insurance Data Analytics Jobs in California

In order to retain our talented workforce, we provide an excellent benefits package. We encourage a ... San Jose, CA Qualifications Responsibilities: • Collaborate with business analysts and data ...

A strong foundation in data analytics and statistics are necessary to ask the right questions, interpret complex data, and translate it into meaningful insights. The position focuses on addressing ...

A strong foundation in data analytics and statistics are necessary to ask the right questions, interpret complex data, and translate it into meaningful insights. The position focuses on addressing ...

Data Analytics Analyst

Irvine, CA · Hybrid

$69.30K - $103.77K/yr

About the RoleCanon USA in Melville, NY is currently seeking a Data Analytics Analyst (Analyst, Data Analytics). As a Data Analyst within the Revenue Operations team, you will serve as a vital ...

Data Analytics Analyst

Irvine, CA · Hybrid

$69.30K - $103.77K/yr

About the RoleCanon USA in Melville, NY is currently seeking a Data Analytics Analyst (Analyst, Data Analytics). As a Data Analyst within the Revenue Operations team, you will serve as a vital ...

Data Analytics Analyst

Glendale, CA · Hybrid

$69.30K - $103.77K/yr

About the RoleCanon USA in Melville, NY is currently seeking a Data Analytics Analyst (Analyst, Data Analytics). As a Data Analyst within the Revenue Operations team, you will serve as a vital ...

You will also mentor analysts on the team, establish best practices in analytics and ... Ensure data integrity, consistency, and accuracy across DTC data sources including ecommerce ...

Data Analytics Analyst

Glendale, CA · Hybrid

$69.30K - $103.77K/yr

About the RoleCanon USA in Melville, NY is currently seeking a Data Analytics Analyst (Analyst, Data Analytics). As a Data Analyst within the Revenue Operations team, you will serve as a vital ...

You will also mentor analysts on the team, establish best practices in analytics and ... Ensure data integrity, consistency, and accuracy across DTC data sources including ecommerce ...

Data Analytics Analyst

Irvine, CA · Hybrid

$69.30K - $103.77K/yr

About the RoleCanon USA in Melville, NY is currently seeking a Data Analytics Analyst (Analyst, Data Analytics). As a Data Analyst within the Revenue Operations team, you will serve as a vital ...

Data Analytics Analyst

Glendale, CA · Hybrid

$69.30K - $103.77K/yr

About the RoleCanon USA in Melville, NY is currently seeking a Data Analytics Analyst (Analyst, Data Analytics). As a Data Analyst within the Revenue Operations team, you will serve as a vital ...

You will also mentor analysts on the team, establish best practices in analytics and ... Ensure data integrity, consistency, and accuracy across DTC data sources including ecommerce ...

The candidate is expected to be a self-learner as it relates to new big data analytics technologies • Must have extensive experience and excellent expertise in Java based server-side high ...

The candidate is expected to be a self-learner as it relates to new big data analytics technologies Must have extensive experience and excellent expertise in Java based server-side high-performance ...

Data Analytics Analyst

Irvine, CA · Hybrid

$69.30K - $103.77K/yr

Canon USA in Melville, NY is currently seeking a Data Analytics Analyst (Analyst, Data Analytics). As a Data Analyst within the Revenue Operations team, you will serve as a vital technical link ...

Data Analytics Analyst

Irvine, CA · On-site

$69.30K - $103.77K/yr

About the Role Canon USA in Melville, NY is currently seeking a Data Analytics Analyst (Analyst, Data Analytics). As a Data Analyst within the Revenue Operations team, you will serve as a vital ...

In order to retain our talented workforce, we provide an excellent benefits package. We encourage a ... We are seeking a developer to join the data analytics team with at least 5 years of software ...

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Associate In Insurance Data Analytics information

What are the key skills and qualifications needed to thrive as an Associate in Insurance Data Analytics, and why are they important?

To thrive as an Associate in Insurance Data Analytics, you need strong analytical skills, proficiency in statistics, and a background in insurance or finance, often supported by a relevant degree. Familiarity with data analysis tools like SQL, Python, R, and insurance-specific platforms or certifications such as the CPCU or AIDA is highly valued. Attention to detail, problem-solving abilities, and effective communication are critical soft skills for interpreting data and conveying insights to stakeholders. These skills are essential for transforming complex insurance data into actionable strategies that drive business decisions and risk management.

What are some common challenges faced by an Associate in Insurance Data Analytics, and how can they be addressed?

Associates in Insurance Data Analytics often encounter challenges such as working with large, complex datasets and ensuring data accuracy for reliable analysis. Additionally, interpreting data in the context of insurance policies and risk models requires both technical and industry-specific knowledge. Collaborating closely with underwriters, actuaries, and claims teams can help bridge knowledge gaps and enhance data-driven decision-making. Staying up-to-date with analytical tools and best practices can also help overcome these challenges and support career growth.

What are Associate In Insurance Data Analytics?

An Associate in Insurance Data Analytics is a professional who specializes in analyzing data within the insurance industry to help companies make informed decisions. They use statistical methods, data modeling, and business intelligence tools to derive insights about risk, customer behavior, and market trends. This role often requires knowledge of insurance processes, as well as technical skills in data analysis and interpretation. They play a key part in helping insurers optimize underwriting, pricing, claims, and customer experience.

What is the difference between Associate In Insurance Data Analytics vs Insurance Data Analyst?

AspectAssociate In Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsBachelor's degree in data science, statistics, or related field; certifications like CAP or CPCU beneficialBachelor's degree in data analysis, statistics, or related field; certifications like CAP or CPCU beneficial
Work EnvironmentEntry-level role in insurance companies or consulting firms, focusing on data collection and basic analysisMid-level role in insurance companies, analyzing data to support underwriting, claims, and risk assessment
Employer & Industry UsageCommonly used in insurance firms, agencies, and consulting firms for data support rolesUsed within insurance companies for data-driven decision making and reporting

The Associate In Insurance Data Analytics and Insurance Data Analyst roles share similar educational backgrounds and industry usage. However, the Associate role is typically entry-level, focusing on data collection and basic analysis, while the Insurance Data Analyst often has more experience and handles more complex data analysis tasks to support business decisions.

What are popular job titles related to Associate In Insurance Data Analytics jobs in California? For Associate In Insurance Data Analytics jobs in California, the most frequently searched job titles are:
What job categories do people searching Associate In Insurance Data Analytics jobs in California look for? The top searched job categories for Associate In Insurance Data Analytics jobs in California are:
What cities in California are hiring for Associate In Insurance Data Analytics jobs? Cities in California with the most Associate In Insurance Data Analytics job openings:
Data analytics architect

Data analytics architect

Samsung SDSA

San Jose, CA • On-site

Full-time

Posted 10 days ago


Samsung SDS America rating

6.8

Company rating: 6.8 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

129th of 203 rated it services


Job description

Company Description
Our Employees Are Among The Most Talented People In Their Fields And The Key To Our Success
At Samsung, we encourage our employees to showcase their talent through our diverse corporate culture. Our strength is our people. Each individual makes an impact to the company and plays a vital role in contributing to the company's success. Our employees are motivated and passionate. We foster innovative thinking through an enthusiastic work environment. Through synergistic collaboration with other brilliant minds, we build some of the most advanced technology.
In order to retain our talented workforce, we provide an excellent benefits package. We encourage a healthy work-life balance so that our employees are satisfied and more productive. We focus on developing our employees by providing them with the right tools and empowering them to succeed. Employee development is a key component of the continuing growth of our business. Our employee development programs help to create a workforce that is well-rounded.
Job Description
We are seeking a senior software architect with at least 8 years of experience in designing scalable, distributed systems to join the Data Analytics Team. This role is expected to provide architectural guidance to the analytics team as it builds and evolves a Big Data Platform, and as analytics solutions are instantiated on top of the platform. The architect is expected to be self-driven, take charge in identifying and fixing problems, and excel in a fast changing, growing environment.
Location: San Jose, CA
Qualifications
Responsibilities:
• Collaborate with business analysts and data scientists in eliciting and articulating solution requirements;
• Design scalable data analytics platform and solutions;
• Make architectural decisions for the data analytics platform and solutions;
• Assess, benchmark and select data analytics technologies to be added to the big data platform;
• Support development lead in determining architecturally significant requirements for data analytics solutions;
• Design big data platform API;
• Provide guidance and mentor developers in the data analytics team;
Skills:
Required
• In-depth knowledge on the Hadoop stack (Map reduce, HDFS, Hive, Pig, Zookeeper);
• Experience with Business Intelligence frameworks and ETL tools;
• Proficiency in the Java programming language;
• Proficiency in the Unified Modeling Language;
• Experience with RDBMS and SQL;
• Experience architecting systems following the REST architectural style;
• Experience with machine learning methods and libraries (e.g. Weka, Mahout, Sci-kit);
• Practical experience with the Scala programming language (desirable);
• Practical experience with the Play web framework (desirable);
• High-level knowledge on the Spark eco-system;
• B.Sc. degree in Computer Science, Engineering, Mathematics, Statistics or related field is required
Additional Information
Tanya Danylevska
Human Resources
Samsung SDSA

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