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Associate In Insurance Data Analytics Jobs (NOW HIRING)

In this role, you will apply a learning mindset, appreciate diverse perspectives, and adopt habits ... Insurance, Science - Utilizing Business Intelligence and Reporting Tools (BIRT) for data-driven ...

In this role, you will apply a learning mindset, appreciate diverse perspectives, and adopt habits ... Insurance, Science - Utilizing Business Intelligence and Reporting Tools (BIRT) for data-driven ...

In this role, you will apply a learning mindset, appreciate diverse perspectives, and adopt habits ... Insurance, Science - Utilizing Business Intelligence and Reporting Tools (BIRT) for data-driven ...

... in Information Technology, Computer Science, Data Analytics, or a closely related field. 1-3+ years ... Experience working with healthcare or health insurance data. Understanding of clinical data and ...

Data Analytics Architect Company : Tampa Electric Company Location: Midtown East Tower State and ... PRIMARY DUTIES AND RESPONSIBILITIES 1. Define and evolve the data architecture in alignment with ...

In order to retain our talented workforce, we provide an excellent benefits package. We encourage a ... Collaborate with business analysts and data scientists in eliciting and articulating solution ...

In order to retain our talented workforce, we provide an excellent benefits package. We encourage a ... San Jose, CA Qualifications Responsibilities: • Collaborate with business analysts and data ...

Demonstrated leadership skills in managing teams, mentoring associates, and driving continuous ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

Demonstrated leadership skills in managing teams, mentoring associates, and driving continuous ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

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Associate In Insurance Data Analytics information

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$3.3K

$6.3K

$9K

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

As of Sep 14, 2026, the average monthly pay for associate in insurance data analytics in the United States is $6,290.58, according to ZipRecruiter salary data. Most workers in this role earn between $5,708.33 and $6,708.33 per month, depending on experience, location, and employer.

What is an 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 are the key skills and qualifications needed to thrive as an associate in insurance data analytics?

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 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.

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.

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Infographic showing various Associate In Insurance Data Analytics job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 76% Full Time, 18% Part Time, and 5% Contract. Highlights an 84% Physical, 1% Hybrid, and 15% Remote job distribution, with an average salary of $75,487 per year, or $36.3 per hour.

Associate Director, Data & Analytics

Morristown, NJ • On-site

$145K - $185K/yr

Other

Posted 16 days ago


Key responsibilities

  • Guide stakeholders to understand the significance of data insights and how they influence strategy.

  • Develop predictive models, marketing mix modeling, and forecasts to support brand and commercial strategies.

  • Investigate complex data questions, validate data sources, and apply analytical methods to uncover patterns and trends.


Job description

POSITION: Associate Director, Data & Analytics

The salary range for this position is between $145k and $185k

Actual salary at the time of hire may vary and may be above or below the range based on various factors, including, but not limited to, the candidate's relevant qualifications, skills, and experience. The company also currently offers a Long-Term Incentive Plan (cash plan) of 20% base salary, and annual performance bonus target of 20% base salary (subject to meeting plan requirements).

POSITION SUMMARY

Averitas Pharma is seeking a strategic, insight-driven, and highly hands-on Associate Director of Data & Analytics to transform complex data into clear, actionable business intelligence that drives decision-making across our commercial and medical organizations.

This role is ideal for an analytics leader who can operate comfortably at two levels: diving into the details of complex data sets to answer nuanced business questions and leading high-impact strategic projects that shape the company's future. It will collaborate closely with cross-functional teams, ensuring that analytics are relevant, impactful, and aligned with business objectives, helping stakeholders understand not just what the data shows, but why it matters and how it should influence strategy.

KEY RESPONSIBILITIES
  • Analytical Leadership & Insight Generation
    • Serve as the organization's analytics champion, guiding stakeholders to understand not just what the data shows, but why it matters.
    • Hands-on development of predictive models, marketing mix modeling (MMM), and forecasting to support brand and commercial strategy.
    • Provide strategic insights on brand performance, marketing effectiveness, and business drivers
    • Develop and deliver analyses that connect data findings to commercial and medical strategies, influencing both tactical decisions and long-term planning.
    • Present complex analyses in a clear, compelling manner to both technical and non-technical audiences, tailoring communication to the needs of each group.
    • Lead the creation and continuous improvement of dashboards, scorecards, and ad-hoc reports that provide context, highlight drivers, and reveal actionable opportunities.
  • Hands-On Data Analysis & Problem Solving
    • Personally investigate complex, detailed data questions - validating sources, reconciling discrepancies, and ensuring insights are built on accurate, reliable data.
    • Apply advanced analytical tools and methods to uncover patterns, trends, and anomalies that drive deeper understanding.
  • Data Enablement & Governance
    • Oversee the availability, integrity, and usability of data sources, including CRM, patient services hub, distributor and specialty pharmacy data, marketing data, and other commercial or medical data domains.
    • Maintain strong data governance practices and ensure data hygiene in collaboration with internal teams and external partners.
    • Manage vendors and third-party data/analytics providers for key business deliverables.
QUALIFICATIONS, CAREER EXPERIENCE AND SKILLS

A combination of relevant education and applicable job experience will be considered.

  • Qualifications
    • Bachelor's degree required; advanced degree in analytics, statistics, or related field preferred.
  • Career Experience
    • 5+ years in pharmaceutical/biotech analytics or commercial operations
    • Deep understanding of statistical modeling, forecasting techniques, MMM, and A/B testing
    • Strong experience with pharma syndicated data (Specialty pharmacy, claims etc.)
    • Proven ability to manage both detailed analysis and high-level strategic initiatives
  • Skills
    • Proficiency in Python or R, SQL, Excel, and BI tools (Power BI, Tableau, DOMO)
    • Exceptional communication skills and a talent for data storytelling to technical and non-technical audiences
TRAVEL
  • The ability to travel up to 25%, including overnights, as dictated by business need and attend all company sponsored events/meetings/conferences.
ETHICS AND COMPLIANCE
  • Demonstrates the highest levels of ethics, integrity and trust while acting with courage and candor.
  • Maintains high accountability for personal actions and results and has the ability to ensure a high level of commitment to the success of the organization, peers and customers.
  • Operates in compliance with all applicable regulations and professional standards at all times.
VALUES & BEHAVIORS
  • Live Entrepreneurship: Plan for long-term growth and build a future business predicated on innovation
  • Be Patient-Centric: Deliver innovation for patients and challenge themself and others to improve patient outcomes
  • Join Forces: Seek diverse input, collaborate across all functions and leverage resources from global partners
  • Act with Integrity: Apply ethical standards, encourage transparency and embrace diversity and inclusivity
  • Drive Performance: Create an atmosphere that nurtures teamwork in order to enable high performance and sustainable growth

* If you are a California resident applying for the above position, please review our California Applicant Privacy Notice.

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