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Associate In Insurance Data Analytics Jobs in North Carolina

Archgroup

Manager, Data Engineer (Remote)

Raleigh, NC · Remote

$100K - $174K/yr

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 ...

Archgroup

Manager, Data Engineer (Remote)

Raleigh, NC · Remote

$100K - $174K/yr

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

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.
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Associate In Insurance Data Analytics jobs near you
Infographic showing various Associate In Insurance Data Analytics job openings in North Carolina as of July 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 86% In-person, and 14% Remote job distribution.
Portfolio Analytics, Senior Associate

Portfolio Analytics, Senior Associate

Barings LLC

Charlotte, NC • On-site

$90K - $105K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 hours ago

Job description

At Barings, we are as invested in our associates as we are in our clients. We recognize those who work diligently for us and reward them for personal and professional integrity, communication skills, distinct competencies and expertise in specific strategies, ability to collaborate as a team member and true dedication to the interests of our clients.
We thank you for your interest in joining the Barings team, and invite you to explore our current employment opportunities.
Job title: Portfolio Analytics, Senior Associate
Department: Portfolio Finance
Location: Charlotte, NC or Boston, MA
The Opportunity
The Portfolio Analytics Senior Associate is a key contributor towards operational effectiveness and efficiency leveraging technology-based solutions to streamline efficiencies, enable insightful program-level reporting, and support the reduction of investment and operational risk. This role sits within Barings Portfolio Finance's Portfolio Analytics team, a team responsible for Data & Analytics, Operational Infrastructure, Management Reporting, Track Record, and Credit Modeling. The role operates at the intersection of finance and technology and serves as a key liaison with various internal partners.
The Team
The team is small, close-knit, and highly collaborative. Team members are motivated by a shared goal to originate attractive investment opportunities for third-party clients while addressing the unique financing needs of our customers. The team is primarily focused on originating investment-grade, senior secured loans to asset managers and the investment vehicles that they manage across a range of asset classes, including private equity, private credit, and real estate debt. The loans, directly originated by the Portfolio Finance team, are highly negotiated, and often involve complex structuring across various global jurisdictions. The team has originated over $38 billion in private investments since 2017 and recently transitioned to Barings from MassMutual.
Key Responsibilities
  • Perform routine data cleansing/pre-processing and automate data transformation processes.
  • Support with maintenance of BPF's proprietary portfolio monitoring database and assessing data quality & integrity on a continuous basis.
  • Identify, analyze, and interpret financial data and uncover trends within large/complex data sets.
  • Identify various process improvement solutions and support with development of predictive analytic capabilities.
  • Critically evaluate information provided from multiple sources - both internal and external - and reconcile discrepancies to ensure sound data quality.
  • Produce (and automate where possible) regularly scheduled and ad-hoc management reports to enable decision making.
  • Participate in technology/automation initiatives to drive streamlined integration with borrowers, internal partners, and third-party vendors.
  • Support internal controls activities.

Qualifications
  • Bachelor's degree (business and/or data science/analytics related) with 2 - 4 years of experience in data management within a financial context; solid financial acumen.
  • Minimum of 2 years' experience in data analysis or reporting.
  • Experience with data visualization tools & best practices (hands on experience with PowerBi or Tableau preferred).
  • Strong knowledge of and experience with analytic tools and programming languages (Python/R, and SQL with VBA a plus).
  • Excellent command and proficiency of MS excel.
  • Strong analytical and problem-solving skills, attention to detail, well-organized, self-starter, and able to multitask and deliver work products on short timeframes.
  • Willingness to learn and absorb complex lending structures and legal documents and translate economic and risk factors to financial models and tools used to manage the overall portfolio.
  • Experience with synthesizing and visualizing data for presentations.
  • Ability and openness to understanding operational, accounting, and legal aspects of investments.
  • Demonstrated interest in and experience with operational enablement through technology.
  • Excellent documentation and communication skills.
  • Control focused and attentive to detail.

Ideal Qualifications
  • Prior experience in investment reporting and analysis within private credit highly preferred.
  • Experience working with at least one alternative asset class and a good understanding of the risks and operations of others across the alternative investment landscape.

#LI-CM2
Base Salary Range: $90,000-105,000 and additional incentive compensation.
Requisite Skills
Data Analytics, Reporting and Analysis
Additional Skills
Barings is an Equal Employment Opportunity employer; Minority/Female/Age/Sexual Orientation/Gender Identity/Individual with Disability/Protected Veteran. We welcome all persons to apply.
Barings offers a comprehensive benefits package including:
CORE BENEFITS & WELLNESS
  • Medical (including Virtual Care), Prescription, Dental, and Vision Coverage
  • Fitness Center Reimbursement Program (Including Online Memberships)
  • Employee Assistance Program (EAP)
  • Fertility Benefits

FINANCIAL WELL-BEING
  • Highly competitive 401(k) Plan with Company Match
  • Health Savings Account (HSA) with Company Contributions
  • Flexible Spending Accounts (FSA) - Health Care & Dependent Care
  • Retirement Health Reimbursement Account

LIFE INSURANCE
  • Basic and Supplemental Life Insurance
  • Spouse and Child Life Insurance

TIME OFF, DISABILITY AND LEAVE OF ABSENCE
  • Paid Vacation, Sick Days and Annual Holidays
  • Paid Leave of Absences (Maternity Leave, Parental Leave, Caregiver Leave, Bereavement Time)
  • Short and Long Term Disability Plans
  • Paid Volunteer Time

OTHER BENEFITS
  • Education Assistance Program
  • Charitable Matching Gifts Program
  • Commuter Reimbursement Program
  • Adoption and Surrogacy Reimbursement Program

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