ZipRecruiter

Log In

1

Executive Insurance Data Analytics Jobs in Kansas

Lockton, Inc.

Data Analyst

Overland Park, KS · On-site

... data analysis in the insurance industry or related field • At least 3 years of experience in working with project teams in an information technology environment • Proficiency with Microsoft SQL ...

Berkley

Senior Data Engineer

Overland Park, KS · On-site

$103K - $140K/yr

The insurance industry has not evolved with innovation like other major industries. We're here to ... Monitor, support, and analyze existing pipelines and recommend performance and process improvements ...

Berkley

Senior Data Engineer

Overland Park, KS

$103K - $140K/yr

The insurance industry has not evolved with innovation like other major industries. We're here to ... Monitor, support, and analyze existing pipelines and recommend performance and process improvements ...

Berkley

Senior Data Engineer

Overland Park, KS

$103K - $140K/yr

Intrepid Direct Insurance (IDI) is a rapidly growing direct to consumer property and casualty ... Monitor, support, and analyze existing pipelines and recommend performance and process improvements ...

Reply

Manager, Data Engineering

Kansas City, KS · On-site

Defining data roadmaps at the executive level for clients and detailed planning of data and AI ... Data Analytics, Power BI, Azure SQL, Azure Cosmos DB, and Azure Database for PostgreSQL * Deep ...

Ascend Learning

Sr Data Scientist

Leawood, KS · On-site +1

Executive Communication: Independently prepare and present findings, dashboards, and security ... Author detailed analytical reports supporting security investigations, including methodology ...

next page

Showing results 1-20

All JobsInsurance Data Analytics JobsExecutive Insurance Data Analytics JobsExecutive Insurance Data Analytics Jobs in Kansas

Executive Insurance Data Analytics information

What does a Data Analyst do in insurance?

A Data Analyst in insurance collects, processes, and analyzes data related to policies, claims, and customer information to identify trends, assess risks, and support decision-making. They often use tools like Excel, SQL, and data visualization software to create reports and dashboards that help improve underwriting, pricing, and claims management processes.

How does the Executive Insurance Data Analytics role typically collaborate with other departments to drive business decisions?

In the Executive Insurance Data Analytics role, collaboration with departments such as underwriting, claims, and product development is essential. You will regularly work with cross-functional teams to interpret complex data, identify trends, and provide actionable insights that support strategic business decisions. Clear communication and the ability to translate analytics into business terms are key, as you will often present findings to both technical and non-technical stakeholders. This collaborative approach not only helps improve operational efficiency but also ensures data-driven decision-making across the organization.

What is the highest paying job in data analytics?

In data analytics, executive roles such as Chief Data Officer (CDO) or Vice President of Data typically have the highest salaries, often exceeding six figures annually. These positions require advanced skills in data strategy, leadership, and often certifications in analytics tools or data management platforms.

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

To excel as an Executive in Insurance Data Analytics, you need expertise in statistical analysis, data modeling, insurance industry knowledge, and often an advanced degree in data science or actuarial science. Familiarity with analytics platforms like SAS, SQL, Python, and business intelligence tools, as well as certifications such as CPCU or data analytics credentials, are typically required. Strategic thinking, leadership, and strong communication skills help drive insights and influence organizational decision-making. These skills are crucial for transforming complex data into actionable strategies that enhance profitability and manage risk in the insurance sector.

Will AI replace a Data Analyst?

AI is transforming the role of Data Analysts, including those in executive insurance data analytics, by automating routine tasks such as data cleaning and basic reporting. However, Data Analysts are still essential for interpreting complex data, providing strategic insights, and making nuanced decisions that require human judgment and domain expertise. The role is evolving to include skills in machine learning tools and data visualization, but it is unlikely to be fully replaced by AI in the near future.

What is the highest paid position in insurance?

In insurance, executive roles such as Chief Executive Officer (CEO) or Chief Underwriting Officer tend to be the highest paid, often earning six- to seven-figure salaries along with bonuses and stock options. These positions require extensive experience, leadership skills, and industry knowledge, and they oversee company strategy and operations.

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

AspectExecutive Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsBachelor's or higher in Data Science, Statistics, or related field; experience in insurance analyticsBachelor's in Data Science, Statistics, or related field; entry to mid-level experience
Work EnvironmentStrategic, leadership-focused, often in management teamsOperational, data-focused, often in analytics teams
Employer & Industry UsageInsurance companies, consulting firms, risk management firmsInsurance companies, brokers, third-party analytics providers

Executive Insurance Data Analytics roles focus on strategic decision-making and leadership in insurance data projects, while Insurance Data Analysts handle data collection, analysis, and reporting at operational levels. Both roles require similar educational backgrounds but differ in scope and responsibility.

What is an Executive Insurance Data Analytics professional?

An Executive Insurance Data Analytics professional is a senior leader who oversees the collection, analysis, and interpretation of data to guide decision-making within insurance organizations. They leverage advanced analytics, data science, and business intelligence to identify trends, assess risks, and optimize business strategies. Their role often involves setting data strategy, ensuring data quality, and communicating insights to stakeholders to improve profitability and efficiency. They typically collaborate with IT, actuarial, underwriting, and claims teams to drive data-driven transformation across the company.
What are the most commonly searched types of Insurance Data Analytics jobs in Kansas? The most popular types of Insurance Data Analytics jobs in Kansas are:
What cities in Kansas are hiring for Executive Insurance Data Analytics jobs? Cities in Kansas with the most Executive Insurance Data Analytics job openings:
Executive Insurance Data Analytics jobs near you
Data Analyst

Data Analyst

Lockton, Inc.

Overland Park, KS • On-site

Full-time

Posted 20 days ago

Lockton rating

9.1

Company rating: 9.1 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

23rd of 281 rated insurance

Job description

Job Summary:
The Data Analyst is responsible for ongoing analysis of finance, client premium and revenue data, obtained from a variety of different sources. It involves development and preparation of information, reconciliations and reports for management, Associates, and other custom-built applications.
Essential Duties:
• Subject matter expert for finance, client premium and revenue data
• Generate standard and ad hoc reports on a regular basis
• Create Excel based data analysis tools to identify variances with macros
• The data analyst must be able to recognize data issues and work with providers of data to resolve problems
• Provides consulting, training, reporting and primary technical support as need for data intensive projects throughout the project lifecycle including post go-live
• Responsible for monitoring progress and maintaining responsibility for delivering project deliverables accurately and on time
• Ad hoc technical analysis of jobs, queries, reports, & other items across ERPs & Systems
Other Responsibilities:
• Makes decisions in compliance with established corporate and department standards
• Provides exceptional customer service and adheres to the Lockton philosophie
Requirements:
• BS/BA degree required
• At least 3 years of experience in data analysis in the insurance industry or related field
• At least 3 years of experience in working with project teams in an information technology environment
• Proficiency with Microsoft SQL, Microsoft Excel, Microsoft PowerBI and VBA for Excel macros
• Use advanced Excel capabilities, including pivot tables, lookups, complex formulas and graphing
• Familiarity with PeopleSoft query and nVision or Oracle Fusion and OTBI a plus
• Ability to express complex technical concepts effectively, both verbally and written
• Ability to work well with & and describe tasks to non-technical users
• Demonstrated ability to analyze data in a variety of formats and to provide recommendations and support in establishing strategic plans for undertaking data conversions
• Demonstrated effectiveness in working with multi-functional teams in a technical production environment
• Demonstrated ability to respond to customer requirements with timely and effective technical solutions
• Ability to synthesize data from multiple sources
• Superior attention to detail
• Ability to multitask without sacrificing the quality and accuracy of project deliverables
• Some overtime, off-shift support and travel may be required
#LI-JM

What Lockton employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply