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Entry Level Insurance Data Analytics Jobs in Washington, DC

Insilico Logix

Data Analyst

Herndon, VA · On-site

$60K - $70K/yr

... 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 ...

Guidehouse

FM Data Analysis Specialist

Mclean, VA · On-site

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

Guidehouse

FM Data Analysis Specialist

Mclean, VA · On-site

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

Kearney & Company

Data Analyst

Alexandria, VA · On-site

$69K - $105K/yr

... data analytics, robotics, and machine learning. • Ability to take and apply training in data ... Legal Insurance and Pet Insurance * Employee Assistance Program, fitness and wellness benefits, and ...

Augur Consulting

Entry-Level Analyst

Arlington, VA · On-site

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 ...

Interclypse Inc.

Data Analyst

Annapolis, MD · On-site

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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All JobsInsurance Data Analytics JobsEntry Level Insurance Data Analytics JobsEntry Level Insurance Data Analytics Jobs in Washington, DC

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 Jun 16, 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:
Entry Level Insurance Data Analytics jobs near you
Infographic showing various Entry Level Insurance Data Analytics job openings in Washington, DC as of June 2026, with employment types broken down into 86% Full Time, 4% Part Time, 4% Temporary, and 6% Contract. Highlights an 94% In-person, 4% Hybrid, and 2% Remote job distribution, with an average salary of $128,972 per year, or $62 per hour.

Data Analytics & Engineering Opportunities

Career Site

Washington, DC • On-site, Remote

$65K - $105K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago

Job description

Venable LLP's Technology & Innovation Group Venable Blueteam seeks Data Analytics & Engineering professionals in the Washington, D.C., New York, Illinois, Denver, and California regions. The Data Analytics & Engineering professionals support temporary client-based projects. This is a non-attorney position.

We are hiring for a variety of data analytics and engineering roles that are temporary, project based and will be remote or hybrid based off client needs.

Seeking professionals skilled in the following:

  • Experience with SQL (Oracle, Vertica, Hive, MySQL, or similar) Python, or R
  • Experience with Business Intelligence tools such as, Tableau, Microstrategy, or similar
  • Ability to present complex findings clearly and work cross-functionally

Venable LLP does not discriminate on the basis of race, gender, ethnicity, religion, national origin, age, disability, veteran status, or on any other basis prohibited by law. To view our inclusion and opportunity policy, please click here.

Applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act, as applicable. Material job duties for this role include having access to privileged and confidential firm and client information, firm employees, and the firm's premises. This role requires the hired individual to perform the material job duties outlined in this job posting. If the firm reasonably believes an applicant's criminal history may have a direct, adverse, and negative relationship with the material job duties required by the role, a conditional offer of employment may be rescinded.

Applicants with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance and the California Fair Chance Act, as applicable. Material job duties for this role include having access to privileged and confidential firm and client information, firm employees, and the firm's premises. This role requires the hired individual to perform the material job duties outlined in this job posting. If the firm reasonably believes an applicant's criminal history may have a direct, adverse, and negative relationship with the material job duties required by the role, a conditional offer of employment may be rescinded.

Venable's benefits package includes medical, dental, vision, disability, life insurance, flexible spending and healthcare savings accounts, 401(k) with firm profit share, paid vacation and sick time, firm paid holidays, wellness and personal advocacy programs, family planning resources and leave programs, tuition reimbursement, and more. New employees are provided a detailed orientation to the firm's benefit offerings upon hire.

The anticipated base salary for Data Analytics & Engineering positions is $65,000 - 105,000 per year. The actual salary offered will be based on a number of job related factors including, but not limited to, years of related experience, level of education, skills, credentials and certifications, responsibilities and performance. Additional compensation may include discretionary bonuses and overtime, if eligible. Overtime wages earned will be paid in compliance with applicable law.

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