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Associate In Insurance Data Analytics Jobs in Raleigh, NC

Data Analyst

Raleigh, NC · On-site

$30 - $35/hr

Bachelor's degree in Data Analytics, Computer Science, Information Systems, Statistics, Public Health, Business Analytics, or a related field preferred. * Equivalent combination of education and ...

... the Data & Analytics team with a focus on Supply Chain, by performing structured SQL queries ... This position is Hybrid (4 days in office, 1 day remote), based at our corporate headquarters in ...

Vice President of Data Analytics- Hybrid | Cary, North Carolina We're a leader in data and AI. Through our software and services, we inspire customers around the world to transform data into ...

Senior Learning Data Analyst

Raleigh, NC · On-site

$83K - $105K/yr

Additional 5 years of relevant experience can be considered in lieu of degree. -Data Analytics to create reports and build dashboards to provide ROI and impact metrics to executive teams ...

Based in Cary, NC. Position reports directly to the Finance Manager, Coating Resins. Works closely ... BA / BS Degree in Finance, Data Analytics, Mathematics / Statistics or IT field; MBA a plus. * Five ...

Based in Cary, NC. Position reports directly to the Finance Manager, Coating Resins. Works closely ... BA / BS Degree in Finance, Data Analytics, Mathematics / Statistics or IT field; MBA a plus. * Five ...

Sr. Financial Analyst (Data Analytics) Job

Cary, NC · On-site

$79K - $98K/yr

Based in Cary, NC. Position reports directly to the Finance Manager, Coating Resins. Works closely ... BA / BS Degree in Finance, Data Analytics, Mathematics / Statistics or IT field; MBA a plus. * Five ...

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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:
M&A Data Analytics Senior Consultant

M&A Data Analytics Senior Consultant

Deloitte

Raleigh, NC • On-site

Other

Posted 15 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 90 frontline employees who took The Breakroom Quiz

59th of 148 rated financial services


Job description

Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. We offer comprehensive end-to-end support and advisory services, covering areas such as mergers and acquisitions (M&A), valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, and sustainability. The team works closely with clients at every stage of their journey, helping them navigate challenges, avoid financial pitfalls, and implement practical solutions before, during, and after major transformational projects or transactions creating lasting impact.

Recruiting for this role ends on 07/17/2026.

Work you'll do

As a Senior Consultant, Strategy, Growth, and Transformation on the M&A team, you will be responsible for...

  • Gathering, normalizing, validating, and analyzing transactional data, including sales and inventory data, to develop and test deal hypotheses
  • Working with cross-functional teams across financial, accounting, operational, and tax due diligence to manage data analysis and support transaction execution
  • Using business intelligence tools and data analytics to generate meaningful insights tied to client investment hypotheses and transaction decisions
  • Identifying opportunities to design and develop visualizations and dashboards that enable effective and repeatable analysis of large transactional datasets
  • Advising clients directly, including C-suite and private equity executives, while coordinating with FP&A and Strategic Finance personnel to identify, collect, and validate data from client databases

Team members collaborate with other transaction service analytics professionals, members of the deal teams and clients to produce analyses within fast-paced transaction deadlines. This is not a "back-office" position; this is front-line client interaction with significant opportunity for growth and advancement.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

An in-depth understanding of the M&A landscape, market experience, and access to our global network of advisors means we have the capabilities to help clients confidently pursue strategic transactions in both domestic and global markets - this includes managing the entire M&A lifecycle. Working with our clients to develop growth strategies based on their organizational goals, our services are designed to help clients be prepared to capitalize on opportunities during the merger, acquisition or divestiture process.

Qualifications

Required:

  • Bachelor's Degree in Accounting, Finance, Management Information Systems, Mathematics, Statistics, Economics or similar
  • 2-4 years of experience analyzing large datasets, including demonstrated understanding of data manipulation tools
  • Demonstrated knowledge of advanced business analytics and data mining solutions
  • Demonstrated understanding of multiple business cycles (examples include but not limited to Order-to-cash revenue cycle, procurement, Supply Chain, Inventory, etc.)
  • Experience designing and storytelling via data visualization (examples include but not limited to Tableau, Power BI, Excel Charts, etc.)
  • Experience analyzing or managing accounting, financial or transactional data
  • Demonstrable evidence of effective team leadership, client relationship development, preferably in a client service setting
  • Ability to travel up to 20%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred:

  • Strong working knowledge of data structures and database design
  • Knowledge of GAAP, particularly revenue recognition and ASC 606 
  • Experience performing ETL/data manipulation using Alteryx or similar tools
  • Experience designing data visualizations with Tableau, Power BI, or similar tools
  • Knowledge of how to use programming languages for data analyses: SQL, Python, R or other languages.
  • Statistical methods in support of data analysis
  • CPA, CA certification
  • Master of Business Administration or similar degree

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $110,700 to $218,300.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. We offer comprehensive end-to-end support and advisory services, covering areas such as mergers and acquisitions (M&A), valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, and sustainability. The team works closely with clients at every stage of their journey, helping them navigate challenges, avoid financial pitfalls, and implement practical solutions before, during, and after major transformational projects or transactions creating lasting impact.

Recruiting for this role ends on 07/17/2026.

Work you'll do

As a Senior Consultant, Strategy, Growth, and Transformation on the M&A team, you will be responsible for...

  • Gathering, normalizing, validating, and analyzing transactional data, including sales and inventory data, to develop and test deal hypotheses
  • Working with cross-functional teams across financial, accounting, operational, and tax due diligence to manage data analysis and support transaction execution
  • Using business intelligence tools and data analytics to generate meaningful insights tied to client investment hypotheses and transaction decisions
  • Identifying opportunities to design and develop visualizations and dashboards that enable effective and repeatable analysis of large transactional datasets
  • Advising clients directly, including C-suite and private equity executives, while coordinating with FP&A and Strategic Finance personnel to identify, collect, and validate data from client databases

Team members collaborate with other transaction service analytics professionals, members of the deal teams and clients to produce analyses within fast-paced transaction deadlines. This is not a "back-office" position; this is front-line client interaction with significant opportunity for growth and advancement.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

An in-depth understanding of the M&A landscape, market experience, and access to our global network of advisors means we have the capabilities to help clients confidently pursue strategic transactions in both domestic and global markets - this includes managing the entire M&A lifecycle. Working with our clients to develop growth strategies based on their organizational goals, our services are designed to help clients be prepared to capitalize on opportunities during the merger, acquisition or divestiture process.

Qualifications

Required:

  • Bachelor's Degree in Accounting, Finance, Management Information Systems, Mathematics, Statistics, Economics or similar
  • 2-4 years of experience analyzing large datasets, including demonstrated understanding of data manipulation tools
  • Demonstrated knowledge of advanced business analytics and data mining solutions
  • Demonstrated understanding of multiple business cycles (examples include but not limited to Order-to-cash revenue cycle, procurement, Supply Chain, Inventory, etc.)
  • Experience designing and storytelling via data visualization (examples include but not limited to Tableau, Power BI, Excel Charts, etc.)
  • Experience analyzing or managing accounting, financial or transactional data
  • Demonstrable evidence of effective team leadership, client relationship development, preferably in a client service setting
  • Ability to travel up to 20%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred:

  • Strong working knowledge of data structures and database design
  • Knowledge of GAAP, particularly revenue recognition and ASC 606 
  • Experience performing ETL/data manipulation using Alteryx or similar tools
  • Experience designing data visualizations with Tableau, Power BI, or similar tools
  • Knowledge of how to use programming languages for data analyses: SQL, Python, R or other languages.
  • Statistical methods in support of data analysis
  • CPA, CA certification
  • Master of Business Administration or similar degree

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $110,700 to $218,300.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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