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Entry Level Insurance Data Analytics Jobs in Washington, DC

The Data Analytics Analys t collects and analyzes data to develop insights for use in decision ... life insurance; paid time off to include company and individual holidays, vacation, sick ...

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for ...

... Insurance - Immigration Support for OPT students and visa holders - Skills Enhancement Data Analytics Training Program is provided for selected candidates ** OPT students may also apply If you are ...

Entry-Level Analyst U.S. citizenship required. Are you a critical thinker with acumen for problem ... Data Analytics & Visualization responsibilities include: Using PowerBI, Tableau, R, JACS, PO$T, CO ...

ONE (1) year+ experience in financial management and data analytics What Would Be Nice To Have ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

Entry Level Analyst

Washington, DC · On-site

$55K - $75K/yr

Responsibilities Data Analytics * Analyze monthly Integrated Program Management Reports, including IPMR/IPMDAR submissions and supporting cost and schedule data. * Examine program-performance ...

Three (3) years of experience in data analytics * Experience as a data analyst or similar role with ... Life Insurance * Accidental Death and Dismemberment Insurance * Disability: Short-term and ...

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Entry Level Insurance Data Analytics information

See Washington, DC salary details

$27

$62

$106

How much do entry level insurance data analytics jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for entry level insurance data analytics in Washington, DC is $62.01, according to ZipRecruiter salary data. Most workers in this role earn between $49.81 and $70.24 per hour, depending on experience, location, and employer.

What are some common challenges faced by entry-level professionals in insurance data analytics, and how can they be addressed?

Entry-level professionals in insurance data analytics often encounter challenges such as working with large, complex datasets, understanding industry-specific terminology, and aligning analytical findings with business objectives. To overcome these, it's important to develop strong data management and visualization skills, seek mentorship from experienced colleagues, and regularly communicate with underwriters, actuaries, and business teams to understand the context behind the numbers. Proactively participating in team meetings and taking advantage of on-the-job training can also help bridge knowledge gaps and foster professional growth.

What are the key skills and qualifications needed to thrive as an Entry Level Insurance Data Analytics professional, and why are they important?

To thrive as an Entry Level Insurance Data Analytics professional, you need foundational skills in statistics, data analysis, and proficiency with Excel or similar tools, often supported by a degree in mathematics, statistics, or a related field. Familiarity with data analytics software such as SQL, Python, R, and insurance industry databases is highly valuable. Strong problem-solving abilities, attention to detail, and effective communication skills set candidates apart in this role. These competencies are crucial for accurately interpreting insurance data, supporting business decisions, and conveying insights to both technical and non-technical stakeholders.

What is the difference between Entry Level Insurance Data Analytics vs Insurance Data Analyst?

AspectEntry Level Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsBachelor's degree in data science, statistics, or related field; basic knowledge of analytics toolsBachelor's or higher in data analysis, statistics, or related; some roles prefer certifications
Work EnvironmentEntry-level roles in insurance companies, focusing on data collection and basic analysisMore experienced roles involving complex data modeling and reporting
Employer & Industry UsageInsurance companies, brokers, and agenciesInsurance firms, consulting agencies, and risk management companies

Entry Level Insurance Data Analytics positions focus on foundational data tasks within insurance firms, often requiring less experience and offering training opportunities. Insurance Data Analysts typically have more experience, handling advanced analysis and reporting. Both roles are essential in the insurance industry but differ mainly in complexity and responsibility.

What are entry level insurance data analytics jobs?

Entry level insurance data analytics jobs involve collecting, processing, and analyzing data to help insurance companies make better business decisions. Professionals in these roles typically use statistical tools and software to identify trends, assess risks, and support pricing or policy development. They may also prepare reports and visualizations to communicate findings to other teams. These positions are ideal for recent graduates with strong analytical skills who have an interest in the insurance industry.
What are the most commonly searched types of Insurance Data Analytics jobs in Washington, DC? The most popular types of Insurance Data Analytics jobs in Washington, DC are:
What are popular job titles related to Entry Level Insurance Data Analytics jobs in Washington, DC? For Entry Level Insurance Data Analytics jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Entry Level Insurance Data Analytics jobs in Washington, DC look for? The top searched job categories for Entry Level Insurance Data Analytics jobs in Washington, DC are:

Data Analytics Analyst

AARP

Washington, DC • On-site

$95K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


AARP rating

7.9

Company rating: 7.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

137th of 759 rated non-profit organizations


Job description

Overview
AARP is the nation's largest nonprofit, nonpartisan organization dedicated to empowering people 50 and older to choose how they live as they age. With a nationwide presence, AARP strengthens communities and advocates for what matters most to the more than 100 million Americans 50-plus and their families: health and financial security, and personal fulfillment. AARP also works for individuals in the marketplace by sparking new solutions and allowing carefully chosen, high-quality products and services to carry the AARP name. As a trusted source for news and information, AARP produces the nation's largest-circulation publications, AARP The Magazine and the AARP Bulletin.
Performance Measurement & Business Analysis (PMBA) is responsible for aligning enterprise-wide metrics, analysis, reporting and performance measurement tools to drive AARP's strategic and operating performance. PMBA includes a Business Optimization team that provides consulting and advisory services to projects and initiatives where there is an enterprise-wide impact, unknown root cause and/or complex stakeholder interactions.
The Data Analytics Analyst collects and analyzes data to develop insights for use in decision-making and setting business priorities. Produces and distributes scheduled reports. Conducts research and analyzes data to develop insights that inform business strategies.
Responsibilities
  • Collects, manages, monitors, and analyzes key performance metrics across all facets of the enterprise with the goal of improving business performance. Works with management teams to develop performance measurement frameworks. Analyzes data and uses analysis to create compelling and actionable data stories to share with key stakeholders to drive decisions.
  • Ensures data and analysis quality and accuracy. Serves as ambassadors for analytics, supporting cross-functional teams to improve and interpret data.
  • Collects, manages, and provides department/division reports. Produces and distributes scheduled reports. Supports and coordinates ad-hoc report requests.
  • Manages data quality. Acts as a liaison with technology regarding maintenance of database systems. Provides support to various projects/analysis by gathering data and presenting results.
  • Evaluates existing engagement programs to identify improvements and to measure outcomes. Analyzes and tests current processes and systems to determine effectiveness and efficiency.
  • Collects data, performs root cause analysis of issues or problems, and proposes solutions according to the current and future needs of the business. Assists in the development and delivery of training programs or presentations and recommend program revisions.
  • Documents data definitions, assumptions, methodologies and reporting requirements to ensure consistency, transparency and repeatability of analyses across teams.
  • Monitors trends and patterns in data over time to proactively identify opportunities, risks and emerging issues and communicate insights to stakeholders.

Qualifications
  • Bachelor's degree and 1+ years of experience in consulting, finance, or a related analytical role.
  • Ability to synthesize and clearly communicate highly complex findings.
  • Proficiency in Microsoft Office, particularly Excel and PowerPoint.
  • Working knowledge of data analytics concepts, including experience using SQL and/or Python to gather, analyze, and interpret data.
  • Understanding of business, company, and industry valuation methodologies and valuation strategy principles.
  • Strong project management skills with the ability to prioritize and manage multiple projects simultaneously in a fast-paced environment.

Preferred:
  • Experience building quantitative models, conducting organizational strategic analysis, and developing strategic plans

AARP will not sponsor an employment visa for this position at this time.
Additional Requirements
  • Regular and reliable job attendance
  • Effective verbal and written communication skills
  • Exhibit respect and understanding of others to maintain professional relationships
  • Independent judgement in evaluation options to make sound decisions
  • In office/open office environment with the ability to work effectively surrounded by moderate noise

Hybrid Work Environment
AARP observes Mondays and Fridays as remote workdays, except for essential functions. Remote work can only be done within the United States and its territories.
Compensation and Benefits
AARP offers a competitive compensation and benefits package including a 401(k); 100% company-funded pension plan; health, dental, and vision plans; life insurance; paid time off to include company and individual holidays, vacation, sick, caregiving, and parental leave; performance-based and peer-based recognition and tuition reimbursement.
Equal Employment Opportunity
AARP is an equal opportunity employer committed to hiring a diverse workforce and sustaining an inclusive culture. AARP does not discriminate on the basis of race, ethnicity, religion, sex, color, national origin, age, sexual orientation, gender identity or expression, mental or physical disability, genetic information, veteran status, or on any other basis prohibited by applicable law.

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