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Associate In Insurance Data Analytics Jobs in Raleigh, NC

Data Analytics Engineer

Durham, NC

$110K - $132K/yr

We build in many different verticals. Whether we are building schools to provide inspiring spaces ... That's why we provide an array of options (including medical, dental, and vision insurance plans ...

Masters in Mathematics, Computer Science, or another quantitative field. Proficiency with data analysis in Python or R, and SQL. Experience with creating dashboards or other data visualizations ...

Data Analytics Engineer

Durham, NC · On-site

$110K - $132K/yr

They are seeking a Data Analytics Engineer to design and implement data initiatives, enabling ... Required : • 3+ years of experience data modeling in data warehouses with modern design patterns ...

If you are passionate about addressing challenging issues in higher education using data science ... Choose Duke. Why Join Us: The Data Analytics Practice within Duke's Office of Information ...

In short, We Enable Possibility. Job Summary Strategic Analytics at Arch is a growing team at the ... Insurance data modelingforanalytics and actuarial-ready data structures * MLOpsfamiliarity ...

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Associate In Insurance Data Analytics information

See Raleigh, NC salary details

$3.2K

$6.1K

$8.7K

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

As of Jul 16, 2026, the average monthly pay for associate in insurance data analytics in Raleigh, NC is $6,115.00, according to ZipRecruiter salary data. Most workers in this role earn between $5,550.00 and $6,525.00 per month, depending on experience, location, and employer.

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.

Is 40 too late for data science?

For an Associate in Insurance Data Analytics, age is not a barrier to entering data science. Many professionals successfully transition into data analytics roles later in their careers by acquiring relevant skills such as programming, statistics, and data visualization, often through online courses or certifications. Experience and continuous learning are valued more than age in this field.

How much does an insurance analyst make?

An insurance analyst typically earns between $55,000 and $85,000 annually, depending on experience, location, and the complexity of data analysis tasks. Entry-level roles may start lower, while experienced analysts with advanced skills in data tools like SQL or Python can earn higher salaries.

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 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 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 can you do with an associate's in data analytics?

An associate's in data analytics prepares individuals for roles such as data analyst or insurance data analyst, where they analyze data sets to identify trends and support decision-making. These roles often involve using tools like Excel, SQL, or data visualization software and may require understanding insurance industry data and basic statistical skills.

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 and support decision-making. They often use tools like Excel, SQL, and data visualization software to create reports and improve risk assessment, pricing, and fraud detection.
What are popular job titles related to Associate In Insurance Data Analytics jobs in Raleigh, NC? For Associate In Insurance Data Analytics jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Associate In Insurance Data Analytics jobs in Raleigh, NC look for? The top searched job categories for Associate In Insurance Data Analytics jobs in Raleigh, NC are:

$110K - $132K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 10 days ago


Job description

Job Overview

Skanska is searching for a dynamic Data Analytics Engineer. This is a great opportunity to start a career with a company that builds things that matter and values its team. We are proud to share our culture of diversity and inclusion.

Our work makes a clear contribution to society and the environment around us. We build in many different verticals. Whether we are building schools to provide inspiring spaces for learning, roads to connect communities, or hospitals to care for patients, it all contributes to our purpose - we build for a better society.

Skanska's values -Be Better Together, Act Ethically and Transparently, Commit to Customer, and Care for Life-are deeply engrained in how we work, which is why our values support and drive our D&I efforts.

The Data Analytics Engineer plays a crucial role in designing, implementing, and supporting enterprise data initiatives and analyses.  The Data Analytics Engineer focuses on creating intuitive data models and solutions that enable business partners to easily understand and leverage high-quality, well-structured data.  The ideal candidate will collaborate with data analysts and engineers to develop visual representations of data patterns and insights, effectively communicating their significance to internal and external stakeholders, colleagues, and end-users.

Data Analytics Engineer Required Qualifications:

      • 3+ years of experience data modeling in data warehouses with modern design patterns.
      • 3+ years of experience with Microsoft Azure, including key components like Data Lake, Azure Data Factory, Azure Blob Storage, Azure Synapse and Azure SQL
      • 3+ years of experience with Power BI, including report building, DAX functions, and visualization best practices.
      • 1+ year of experience with Microsoft Fabric and working knowledge of Lakehouse concepts, Delta tables, Pipelines, and Orchestration
      • Bachelor's Degree - Computer Science, Data Engineering, or a related field or 8 years equivalent experience plus minimum 5 years prior relevant experience.

Currently, the company is not considering applicants for this position who now or in the future require employment sponsorship by the company. 

Our Investment in you:

      • We believe that Benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That's why we provide an array of options (including medical, dental, and vision insurance plans), expert guidance, and always-on tools, that are personalized to meet the needs of your reality - to help support you physically, financially, and emotionally through the big milestones and in your everyday life. Please visit the compensation and Benefits summary on our careers site for more details.
      • As a Skanska community, our values ground us, and our diversity of experience propels us forward. No matter what your career stage, there's a place for you to thrive here and partner with us in shaping how our world lives, moves, and connects.
      • At Skanska, we Care for Life. And we're committed to supporting your whole health and peace of mind through inclusive and personalized total rewards.
      • We're committed to your success by developing you in your role and supporting your career growth
      • Compensation and financial well-being - Competitive base salary, excellent bonus program, 401k, & Employee ownership program. 

Come work with us and join a winning team!

Apply Today for Immediate Consideration!

Background Check Required

Skanska is an Equal Employment Opportunity (EEO) Employer. We do not discriminate on the basis of race, color, religion, sex, national origin, disability, age, genetic information, citizenship, protected veteran status, or any other categories protected under applicable federal, state, and local laws.

Skanska Equal Employment Opportunity

Skanska uses knowledge & foresight to shape the way people live, work, and connect. More than 135 years in the making, we're one of the world's largest construction and project development companies. With operations in select markets throughout the Nordics, Europe and the United States, global revenue totaled $15.9 billion in 2024.

Skanska in the U.S. operates 28 offices across the country, with its headquarters in New York City. In 2024, the U.S. construction sector generated $8.2 billion in revenue, and the U.S. development sector's net investments in commercial projects totaled $224 million.

Together with our customers and the collective expertise of our 6,300 teammates in the U.S. and 26,300 globally, we create innovative and sustainable solutions that support healthy living beyond our lifetime.  

Skanska's Applicant Privacy Policy for California Residents

Search Firm and Employment Agency Disclaimer Search Firm and Employment Agency Disclaimer Skanska USA Human Resources ("Skanska HR") provides HR services to the Skanska business units within the U.S.A. including Skanska USA Civil Inc., Skanska USA Building Inc., Skanska USA Commercial Development Inc. and Skanska Infrastructure Development Inc. (collectively "Skanska USA"). As such, Skanska HR is the sole authorized representative of Skanska USA to execute any agreements with search firms, employment agencies or any employment vendor ("Vendor"). As a condition precedent to any entitlement for payment, a Vendor shall have both (1) Skanska USA Placement Agreement, and (2) an Engagement Job Order executed by an authorized Skanska HR representative. Absent the properly executed documents, Skanska HR shall have no obligation to make payment to the Vendor. Verbal or written communications from any employee of Skanska USA business units shall not be considered binding obligations. All resumes whether unsolicited or solicited shall be considered property of Skanska HR.

Primary LocationUS-NC-CharlottePrimary Work Location/AssignmentHybridSkanska Business UnitSkanska USA Inc.Employee StatusFull TimeSalary LowSalary High Employment Type: FULL_TIME