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Senior Insurance Data Analytics Jobs in Georgia (NOW HIRING)

... Analytics & AI - Senior Associate, you will leverage data and analytics to provide strategic ... Insurance, Science - Demonstrating proficiency in data visualization tools like QlikView and ...

$82K - $104K/yr

Overview As a Senior Analyst, Supply Chain Data Analytics, you will build data, analytics, and AI solutions grounded in supply chain processes across planning, customer service, customer supply chain ...

... senior leaders and opportunities to network. The program is designed to support research and ... Graduate students obtaining a Master's degree in Data Science, Statistics, Analytics, Mathematics ...

... senior leaders and opportunities to network. The program is designed to support research and ... Graduate students obtaining a Master's degree in Data Science, Statistics, Analytics, Mathematics ...

... insurance organization is seeking a Senior Director, Data Architecture to lead the design and ... Enable advanced analytics and machine learning through optimized data infrastructure * Embed data ...

New

Senior Data Analyst

Atlanta, GA · On-site

$82K - $104K/yr

Bachelor's degree in Data Analytics, Data Science, Information Systems, Computer Science ... We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and ...

Sr Data Analyst

Atlanta, GA · On-site

$81K - $103K/yr

The Senior Data Analyst will be responsible for ah-hoc data request support, and developing and ... analytics tools to support the Assurance and Advisory Management (AMP) team for project work across ...

Sr Business Data Analyst

Atlanta, GA · On-site

$70K - $115K/yr

Are you ready to launch your analytics career in the fast-paced world of supply chain? At DHL Supply Chain, we're looking for a Senior Business Data Analyst who is eager to apply data-driven thinking ...

Sr Business Data Analyst

Atlanta, GA · On-site

$70K - $115K/yr

Are you ready to launch your analytics career in the fast-paced world of supply chain? At DHL Supply Chain, we're looking for a Senior Business Data Analyst who is eager to apply data-driven thinking ...

Showing results 21-40

Senior Insurance Data Analytics information

What does a senior insurance data analytics professional do?

A Senior Insurance Data Analytics professional analyzes large datasets to help insurance companies make informed decisions about risk, pricing, claims, and customer behavior. They use statistical methods, data modeling, and business intelligence tools to uncover trends and insights that can improve operational efficiency and profitability. In addition to interpreting complex data, they often collaborate with other departments to develop data-driven strategies and may oversee or mentor junior analysts within the team.

What are the key skills and qualifications needed to thrive as a senior insurance data analytics professional?

To thrive as a Senior Insurance Data Analytics professional, you need a strong background in statistics, data analysis, and domain knowledge of insurance, often supported by a degree in mathematics, statistics, or a related field. Expertise in data analytics tools such as SQL, Python, R, and experience with business intelligence platforms like Tableau or Power BI are typically required. Strong problem-solving skills, attention to detail, and the ability to communicate complex insights clearly set top performers apart in this role. These skills are crucial for driving data-driven decision-making, identifying business opportunities, and improving risk assessment and operational efficiency within insurance organizations.

What are some common challenges faced by senior insurance data analytics professionals when working with large and complex datasets?

Senior Insurance Data Analytics professionals often encounter challenges such as integrating data from multiple legacy systems, ensuring data quality and accuracy, and managing sensitive information in compliance with regulations. Additionally, translating complex analytical findings into actionable insights for non-technical stakeholders can be demanding. Overcoming these challenges requires strong technical skills, clear communication, and close collaboration with IT, underwriting, and actuarial teams.

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

AspectSenior Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often with experience in insurance analyticsBachelor's in related field; entry to mid-level experience
Work EnvironmentSenior roles often involve leadership, project management, and strategic planning within insurance companiesFocus on data collection, analysis, and reporting under supervision or team guidance
Employer & Industry UsageUsed across insurance firms, especially in analytics, underwriting, and actuarial departmentsCommonly employed in insurance companies, focusing on data processing and reporting

Senior Insurance Data Analytics professionals typically have more experience, advanced skills, and leadership responsibilities compared to Insurance Data Analysts. While both roles require strong analytical skills and familiarity with insurance data, seniors often oversee projects, develop strategies, and mentor junior staff, whereas analysts focus on data analysis and reporting tasks.

What are the most commonly searched types of Insurance Data Analytics jobs in Georgia?

The most popular types of Insurance Data Analytics jobs in Georgia are:

What cities in Georgia are hiring for Senior Insurance Data Analytics jobs?

Cities in Georgia with the most Senior Insurance Data Analytics job openings:

Data, Analytics & AI - Senior Associate

Atlanta, GA • On-site

Pwc
Finance and Insurance • 10K+ employees

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 77 frontline employees who took The Breakroom Quiz


Job description

Industry/Sector

Not Applicable

Specialism

Managed Services

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As a Managed Services - Data, Analytics & AI - Senior Associate, you will leverage data and analytics to provide strategic insights and drive informed decision-making for clients. Within our Data, Analytics & AI Managed Services practice, you will develop and implement innovative solutions to optimize business performance and enhance competitive advantage. As a Senior Associate, you will focus on building meaningful client connections and learning how to manage and inspire others. You will navigate increasingly complex situations, growing your personal brand and deepening your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality work while embracing ambiguity and using these moments as opportunities to grow.
In this role, you will utilize advanced analytics techniques to help clients optimize their operations and achieve their strategic goals. You will be part of a team that focuses on leveraging data to drive insights and make informed business decisions. By interpreting data to inform insights and recommendations, you will contribute to the broader objectives of your projects and understand how your work fits into the overall strategy. This position offers a chance to develop a deeper understanding of the business context and how it is evolving.
Responsibilities
- Leveraging data analytics to drive strategic insights and informed decision-making for clients
- Developing and implementing innovative solutions to optimize business performance and enhance competitive advantage
- Utilizing business intelligence tools such as Oracle Business Intelligence and QlikView to create comprehensive reports and dashboards
- Building and maintaining relationships with clients to understand their needs and deliver tailored data solutions
- Managing data pipelines and confirming data quality and integrity throughout analytics processes
- Applying analytical thinking and data science techniques to interpret complex data sets and generate actionable insights
- Collaborating with teams to develop data architecture and visualization strategies that align with client objectives
- Engaging in continuous process improvement to enhance data analytics capabilities and methodologies
- Navigating complex situations and adapting to changing business contexts to deliver quality outcomes
- Mentoring junior team members and fostering a collaborative and inclusive work environment
What You Must Have
- At least a Bachelor's degree
- At least 3 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Accounting, Analytics/Data Science, Biology/Biomedical Sciences, Business Administration/Management, Computer Science/Information Systems, Economics, Engineering, Finance, Financial Mathematics/Quantitative Finance, Health Administration/Public Health, Mathematics/Statistics, Operations/Supply Chain, Project/Technology Management, Risk Management/Insurance, Science
- Demonstrating proficiency in data visualization tools like QlikView and Spotfire
- Utilizing Python and Java for advanced data analytics projects
- Developing business intelligence solutions using Oracle BI and BIRT
- Engaging in stakeholder management and competitive advantage analysis
- Applying analytical thinking to macroeconomic and microeconomic research
- Embracing change and continuous process improvement in dynamic environments

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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About pwc

Sourced by ZipRecruiter

We know that the future success of our firm is contingent on equitable experiences for our people. From recruitment to partnership, we’re working hard to give every person an equitable opportunity to grow and to thrive as part of our community of solvers. We understand that establishing and maintaining a fair, equitable and welcoming environment for all people requires building a culture of belonging: a shift from awareness to empathy — while demonstrating inclusive leadership that cultivates trust among our people and our clients. PwC is committed to advancing diversity, equity and inclusion (DEI) through an evidence-based strategy designed to achieve well-defined and meaningful aspirational goals. Our aim is to solve problems for the long term, as that is how we build trust and continue to build on our culture of belonging. At the core of this endeavor are stated goals and a series of linked programs enabling targeted interventions at key moments in our employees’ career trajectories.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

London, London, UK