Lockton
Lockton

60 Lockton Data Analyst Jobs Hiring Near You

The AVP - Cyber Analytics will lead Lockton's cyber analytics strategy, delivering advanced ... This role combines deep cyber expertise, data-driven decision-making, and AI-first mindset, and ...

Lockton is hiring Benefit Analysts to join our People Solutions team. In this role, you will ... data that impacts client decisions - Build and execute on clients' employee communication ...

Data Engineer

Overland Park, KS · On-site

$113.20K - $136K/yr

Lockton Affinity is seeking a Data Engineer to contribute to their data strategy and analytics ecosystem. The role involves designing and maintaining data pipelines, developing reporting solutions ...

Lockton is hiring Benefit Analysts to join our People Solutions team. In this role, you will ... and data that impacts client decision - Build and execute on clients' employee communication ...

Lockton is hiring Benefit Analysts to join our People Solutions team. In this role, you will ... data that impacts client decisions - Build and execute on clients' employee communication ...

Input claim data into internal exhibits and carrier portals with precision and consistency ... Collaborate with internal stakeholders, including Stop Loss associates, Lockton core teams and/or ...

Lockton is seeking an Employee Benefits Financial Analyst to support the Analytics & Insights team by providing accurate financial data analysis and reporting for client programs. You will prepare ...

... Lockton through the quality of support and service delivered. • Assist with business-driven projects, in conjunction with the HRBP. • Proactively use data and analytics to support business ...

Reinsurance Actuary

Philadelphia, PA · On-site

$117.60K - $138.20K/yr

... Lockton Re clients and prospects. This client facing role works to provide unique insight through analysis of our client data. The Actuary team members are also responsible for developing client ...

Job Summary: Lockton is currently seeking an Account Executive , in the Pharmacy practice, to ... Analyze client data in conjunction with consultants to recommend plan design changes, clinical ...

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Lockton Jobs Information

What are the key skills and qualifications needed to thrive as a Data Analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are some common challenges Data Analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What does a Data Analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

How much does an entry level data analyst make?

Entry-level data analysts typically earn between $55,000 and $70,000 annually, depending on the industry and location. Starting salaries may be higher with relevant skills in SQL, Excel, and data visualization tools like Tableau or Power BI.

What jobs make $3,000 a month without a degree?

Data analysts can sometimes earn around $3,000 per month with relevant skills in data visualization, Excel, and basic statistical tools, even without a formal degree. Entry-level roles or freelance work in data analysis, digital marketing, or customer support may also reach this income level, especially with experience and certifications. However, salaries vary based on location, industry, and skill level.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace data analysts in the foreseeable future.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

What is it like to work at Lockton?

Lockton is a global insurance brokerage firm that values a collaborative and entrepreneurial culture, prioritizing innovation and client satisfaction. The company's flat organizational structure and open communication channels foster a dynamic work environment where employees can contribute to the development of creative solutions and participate in decision-making processes. Working at Lockton may appeal to professionals seeking a challenging and rewarding career in the insurance industry, with opportunities for professional growth and development in a fast-paced and global setting.

Does Lockton pay people when they’re sick?

Yes. Most people get paid when they’re sick.
100% of people say they would get paid if they were sick but scheduled to work.
Based on data from 12 people who took the Breakroom Quiz between December 2024 and April 2026.

How easy is it to get time off at Lockton?

Most people find it easy to get time off.
82% of people report it’s easy to get time off.
Based on data from 11 people who took the Breakroom Quiz between December 2024 and April 2026.

How easy is it to take sick days at Lockton?

Most people find it easy to take sick days.
82% of people report that it’s easy to take time off if they are sick.
Based on data from 11 people who took the Breakroom Quiz between December 2024 and April 2026.

Do people at Lockton feel treated with respect by their managers?

Most people feel treated with respect by their managers.
100% of people say they’re treated with respect by their managers.
Based on data from 10 people who took the Breakroom Quiz between December 2024 and April 2026.

Is it stressful to work at Lockton?

Some people feel stressed out here.
64% of people say they often feel stressed out at work.
Based on data from 11 people who took the Breakroom Quiz between January 2025 and April 2026.

Do people at Lockton enjoy their jobs?

Only some people enjoy their job.
40% of people report they don’t enjoy their job.
Based on data from 10 people who took the Breakroom Quiz between January 2025 and April 2026.

Do people at Lockton recommend working with their team?

Only some people recommend working with their team.
62% of people report that they wouldn’t recommend working with their immediate team to a friend.
Based on data from 13 people who took the Breakroom Quiz between December 2024 and April 2026.

Do people get enough training when they start at Lockton?

Some people didn’t get enough training when they started.
40% of people report they didn’t get enough training when they started working here.
Based on data from 10 people who took the Breakroom Quiz between January 2025 and April 2026.

Do people get support to advance at Lockton?

Only some people are given support to advance their career here.
In the last year, 36% of people report not being given support to advance their career here.
Based on data from 11 people who took the Breakroom Quiz between December 2024 and February 2026.

Do people think Lockton’s headquarters understands what’s happening where they work?

Some people think headquarters doesn’t understand what’s happening where they work.
58% of people think that this employer’s headquarters or owners don’t have a good understanding of what’s really happening where they work.
Based on data from 12 people who took the Breakroom Quiz between December 2024 and April 2026.

Do workers feel well informed about how Lockton is doing?

Most people feel well informed about how the company is doing.
70% of people feel that they are kept well informed about how the company is doing as a whole.
Based on data from 10 people who took the Breakroom Quiz between January 2025 and September 2025.
What are the most popular categories at Lockton?
Infographic showing various Data Analyst job openings at Lockton in the United States as of May 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 99% Physical, and 1% Remote job distribution.
AVP, Cyber Analytics

AVP, Cyber Analytics

Lockton, Inc.

Overland Park, KS • On-site

Full-time

Posted 14 days ago


Lockton rating

8.1

Company rating: 8.1 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

131st of 258 rated insurance


Job description

Job Summary:
The AVP - Cyber Analytics will lead Lockton's cyber analytics strategy, delivering advanced insights to help clients navigate complex cyber risk landscapes. This role combines deep cyber expertise, data-driven decision-making, and AI-first mindset, and innovative solution development to strengthen Lockton's position as a leader in cyber risk advisory.
Core Responsibilities
Growth & Client Impact
  • Lead high-value prospect and client conversations to demonstrate Lockton's differentiated cyber analytics capabilities.
  • Provide actionable insights on emerging cyber threats, regulatory changes, and competitor offerings to inform Lockton's cyber product roadmap.

Innovation & Product Development
  • Collaborate with Risk Solutions and Analytics leadership to define future cyber analytics initiatives and enhance digital solutions (e.g. Associate Hub) with cyber-specific value.
  • Continuously assess client needs related to cyber risk modeling, threat intelligence, and vulnerability analysis to drive solution enhancements.
  • Support development of new insurance products with innovative cyber analytics capabilities.

Adoption & Training
  • Design and deliver training programs for brokerage teams focused on cyber risk analytics, modeling methodologies, and technology tools.
  • Establish transparency into adoption metrics for cyber analytics tools and develop strategies to increase engagement.

Communication & Thought Leadership
  • Equip client teams with compelling messaging and positioning strategies for Lockton's cyber analytics capabilities.
  • Integrate cyber risk insights into prospecting materials and maintain a structured cadence of data-driven updates on cyber trends and best practices.

Data Analysis & Technology Leadership
  • Serve as a subject matter expert (SME) in analyzing cyber-related datasets, including threat intelligence feeds, incident data, and vulnerability metrics, transforming raw data into actionable client insights.
  • Act as an SME for Digital / Analytics technology initiatives such, ensuring cyber analytics features align with business value and client needs.

Requirements:
  • Education: Bachelor's degree in Cybersecurity, Data Analytics, Risk Management, or related field;
  • Experience: 7+ years in cyber risk analytics, cybersecurity consulting, or insurance-related roles;
  • Technical Skills: Familiarity with cyber risk modeling tools, threat intelligence platforms, and data visualization tools (e.g., Power BI, Tableau), with an understanding of enterprise data strategy, data governance, and how analytics capabilities scale across platforms and stakeholders. Experience with Azure and Databricks is preferred.
  • Industry Knowledge: Deep understanding of cyber risk frameworks (NIST, ISO), regulatory requirements, and cyber insurance market dynamics.
  • Leadership: Proven ability to lead cross-functional teams and influence senior stakeholders.

Core Competencies
  • Strategic thinking with a focus on cyber risk mitigation/quantification
  • Strong communication and presentation skills
  • Ability to translate complex cyber data into actionable insights
  • Collaborative mindset with a focus on innovation
    Success Metrics
  • Identification and growth of data-driven revenue opportunities for cyber including cross-selling, analytics-supported insurance product development (e.g. cyber triggered physical damage, technology E&O, media E&O, etc.), industry vertical-specialized analytics.
  • Increased adoption of cyber analytics tools across brokerage teams
  • Growth in cyber analytics-driven client engagements
  • Positive feedback from clients on cyber risk advisory and analytics initiatives
  • Timely delivery of cyber-focused product enhancements and training programs

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