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Associate In Insurance Data Analytics Jobs in Los Angeles, CA

Qvest US

Manager - Data & Analytics

Los Angeles, CA · On-site

Qvest US is the global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods & Retail industries. They are seeking an experienced Data & Analytics ...

AmaWaterways, LLC

Data Analytics Engineer

Calabasas, CA · On-site

$90K - $100K/yr

Governed semantic models in dbt for our top business KPIs: bookings, occupancy, revenue ... Cortex Analyst semantic YAML for natural-language data exploration by our internal users. * Data ...

Programmers.io

Data& Analytics PM

Torrance, CA · On-site

$54 - $73/hr

Bachelor's Degree in Business Administration, Information Systems, Computer Science, Engineering ... in technology, data, or digital platform environments that enable large-scale enterprise ...

Capital Group

Data and Analytics Specialist

Los Angeles, CA · On-site

$179K - $286K/yr

I can lead comprehensive data and business process analysis to solve complex problems across ... More than 9,000 associates in 30+ offices around the world help our clients and each other grow and ...

New

Capgroup

Data and Analytics Specialist

Los Angeles, CA

$179K - $286K/yr

I can lead comprehensive data and business process analysis to solve complex problems across ... More than 9,000 associates in 30+ offices around the world help our clients and each other grow and ...

New

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Showing results 21-40

All JobsAssociate In Insurance Data Analytics JobsAssociate In Insurance Data Analytics Jobs in Los Angeles, CA

Associate In Insurance Data Analytics information

See Los Angeles, CA salary details

$3.5K

$6.8K

$9.7K

How much do associate in insurance data analytics jobs pay per month?

As of Aug 23, 2026, the average monthly pay for associate in insurance data analytics in Los Angeles, CA is $6,778.17, according to ZipRecruiter salary data. Most workers in this role earn between $6,150.00 and $7,225.00 per month, depending on experience, location, and employer.

What is an 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 are the key skills and qualifications needed to thrive as an associate in insurance data analytics?

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 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 Los Angeles, CA?

For Associate In Insurance Data Analytics jobs in Los Angeles, CA, the most frequently searched job titles are:

What job categories do people searching Associate In Insurance Data Analytics jobs in Los Angeles, CA look for?

The top searched job categories for Associate In Insurance Data Analytics jobs in Los Angeles, CA are:

Associate In Insurance Data Analytics jobs near you
Infographic showing various Associate In Insurance Data Analytics job openings in Los Angeles, CA as of June 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $81,338 per year, or $39.1 per hour.

Manager - Data & Analytics

Qvest US

Los Angeles, CA • On-site

Full-time

Re-posted 26 days ago

Job description

Job Summary:
Qvest US is the global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods & Retail industries. They are seeking an experienced Data & Analytics Manager to oversee projects that drive better data-based decision making for clients, focusing on strategy, data management, reporting, and visualization.
Responsibilities:
• Manage the project and stakeholders through all core project phases, including project setup, requirements gathering, design, development, testing, and deployment
• Lead the team through hands-on development by coding in SQL and occasionally Python, creating data visualizations in Tableau, Power BI, or similar, and designing data models in platforms such as Snowflake and Databricks
• Ensure client satisfaction through consistent support, impactful thought leadership and high-quality project execution
• Understand, develop and articulate complex business challenges into actionable plans with clear and concise communication
• Facilitate workshops, provide status updates, and lead meetings across the executive levels of client organizations
• Proactively identify risks, issues and provide mitigation strategies
• Contribute to internal growth initiatives including mentorship, recruitment, strategy and/or methodology enhancement
Qualifications:
Required:
• 5+ years Project Management, Process, Implementation, System Integration, and SDLC experience working closely with data professionals in an Agile environment
• Experience with project planning, including tasks, budgeting, resource allocation and balancing
• 7+ years in a consulting or a data-focused role and expert-level experience with SQL in particular in platforms such as Snowflake, Databricks, Teradata, Redshift, BigQuery, MS SQL Server or similar
• Experience designing and building relational database and/or data warehouses
• Hands-on experience with business driven / self-service BI, using tools similar to Tableau, Power BI, Looker, etc
• Eagerness to help build and lead a best-in-class data practice
• Manage the project and stakeholders through all core project phases, including project setup, requirements gathering, design, development, testing, and deployment
• Lead the team through hands-on development by coding in SQL and occasionally Python, creating data visualizations in Tableau, Power BI, or similar, and designing data models in platforms such as Snowflake and Databricks
• Ensure client satisfaction through consistent support, impactful thought leadership and high-quality project execution
• Understand, develop and articulate complex business challenges into actionable plans with clear and concise communication
• Facilitate workshops, provide status updates, and lead meetings across the executive levels of client organizations
• Proactively identify risks, issues and provide mitigation strategies
• Contribute to internal growth initiatives including mentorship, recruitment, strategy and/or methodology enhancement
Preferred:
• A solid understanding of key BI trends and the BI vendor landscape
• Experience in Media & Entertainment and/or Consumer Products industries
• Experience at a large consulting firm (e.g., Accenture, Deloitte, EY, CapGemini, PWC)
• Cloud computing experience, whether with AWS or other vendors
• Ability to understand/design small-to-medium size data architectures
• Ability to automate data-related tasks using scripts and programming languages
• Ability to profile, explore, and analyze data to identify common data patterns
• Bachelor’s degree in engineering, information systems, computer science, business administration, or other related analytical fields
• Familiarity with dbt (https://getdbt.com)
Company:
Qvest is a global leader in media-focused practices and services. Founded in 1991, the company is headquartered in Cologne, DEU, with a team of 201-500 employees. The company is currently Growth Stage.

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