Remote Life Insurance Data Analyst

Naukri Mitra; United States; Remote; USD 85,000 - 104,000; Full time

Benefits offered by this job

Fully remote setup

Flexible working hours

Health insurance

Job summary

Naukri Mitra seeks a Remote Life Insurance Data Analyst to transform complex insurance data using Tableau, SQL, Python, and BI platforms, delivering actionable insights for leadership.

As a fully remote role, you’ll collaborate with data science, finance, claims, and underwriting teams across time zones to build dashboards, forecasting models, and real-time analyses that support regulatory compliance and strategic decisions.

Qualifications

• Bachelor’s or Master’s in Statistics, Data Science, CS, or related field.
• Minimum 3 years of data analytics experience, preferably in insurance or financial services.
• Strong BI best practices and predictive analytics.
• Ability to turn data into business insights and storytelling.

Responsibilities

• Analyze policy performance, claims, and customer data; present insights to leadership.
• Design and automate SQL reporting for claims trends and premium forecasts.
• Monitor data quality and support regulatory submissions across jurisdictions.

Skills

Tableau

Power BI

SQL

Python

R

AWS S3

Redshift

Jupyter Notebooks

ETL pipelines

Git

CI/CD

Education

Bachelor’s in Statistics/Data Science/CS

Master’s in Statistics/Data Science/CS

Tools

Tableau

Power BI

SQL

Python

R

AWS S3

Redshift

Jupyter Notebooks

Git

CI/CD

Job description

Remote Life Insurance Data Analyst

About the Role Step into a career where your analytical talent meets purpose. As a Remote Life Insurance Data Analyst, you will harness cutting-edge data tools to drive insight, shape decisions, and influence the future of our services—all from the comfort of your remote workspace. This role is tailor-made for professionals who love digging into complex datasets, uncovering patterns, and making data-backed recommendations that protect families and secure financial futures. This position pays an annual salary of $94,715 and offers exciting opportunities to collaborate on innovative life insurance analytics projects with a strong emphasis on accuracy, innovation, and continuous improvement.

Key Responsibilities

• Strategic Data Interpretation: Analyze structured and unstructured datasets related to policy performance, claims, customer behavior, and underwriting. Leverage business intelligence tools to present findings to senior leadership and cross-functional stakeholders. Apply advanced remote analytics techniques to derive actionable insights from client and market trends.
• Reporting & Forecasting: Design and automate SQL reporting pipelines for claim trend analysis and premium forecasting. Translate statistical models into digestible reports for both technical and non-technical audiences. Create forward-looking models with advanced algorithms to anticipate potential risk categories.
• Compliance & Risk Support: Monitor real-time data to flag anomalies and suggest improvements in risk management protocols. Assist in regulatory data submissions to ensure compliance across multiple jurisdictions. Maintain high accuracy, coherence, and reliability standards across the reporting lifecycle.

Work Environment

This is a fully remote position, designed to promote balance, flexibility, and productivity. As a work-from-home analyst, you’ll benefit from streamlined virtual collaboration, innovative tech stacks, and a results-driven environment that values focus and autonomy. Collaborate with data science, finance, claims, and underwriting teams across time zones. Join virtual whiteboarding sessions and brainstorming calls to ideate and validate analytical frameworks. Participate in regular cross-functional reviews where insights drive key strategic shifts.

Tools & Technology

• Advanced Platforms & Tools: Tableau, Power BI – for dashboard development and visualization.
• SQL, Python, R – to perform data manipulation, predictive modeling, and advanced analytics.
• AWS S3, Redshift – for large-scale data processing.
• Jupyter Notebooks – to prototype and test forecasting models.
• Familiarity with ETL pipelines, version control (Git), and CI/CD tools is a strong plus.

Frameworks & Techniques

• Data mining, regression modeling, and classification algorithms.
• Real-time analytics frameworks like Kafka and Spark (optional but preferred).
• Exposure to insurtech trends and innovations within digital insurance ecosystems.

Core Qualifications

• Bachelor’s or Master’s in Statistics, Data Science, Computer Science, or a related field.
• Minimum of 3 years of experience in data analytics, preferably within the insurance or financial services industry.
• Solid command of business intelligence best practices and predictive analytics.
• Proficiency in data storytelling — turning raw numbers into insights that drive business impact.

Preferred Attributes

• Strong understanding of life insurance metrics and customer lifecycle behavior.
• Analytical mindset with a curiosity for identifying root causes and correlations.
• Background collaborating within iterative development teams utilizing platforms such as Jira or Confluence.
• Commitment to data integrity, confidentiality, and ethical data use.

Impact & Growth Opportunities

As a Remote Life Insurance Data Analyst, your work goes far beyond data crunching. You'll be directly contributing to safeguarding lives and delivering clarity through insights. This is your opportunity to:
Be at the forefront of data-driven decision-making in the life insurance industry.
Drive operational efficiency and client satisfaction with measurable results.
Influence digital transformation through real-time, intelligent analytics.
Expand your technical toolkit with a team that values continuous learning, experimentation, and innovation.
Take advantage of internal mentorship programs, technical workshops, and career pathways tailored to remote professionals.

Benefits That Elevate Your Experience

• Competitive remote compensation at $94,715 per year
• Fully remote setup with hardware and software provided
• Flexible working hours that prioritize your well-being
• Health, dental, and vision insurance plans
• Annual data science certification reimbursements
• Paid holidays, generous PTO, and wellness days
• Access to premium analytics training platforms and industry webinars

Join Us and Lead with Data Data is more than numbers — it's the foundation of smart decisions, secure futures, and strategic innovation. If you're a forward-thinking data expert passionate about creating clarity from complexity, this is your moment to shine.

Building a Global Workforce: Applications are open to professionals from the United States, Canada, United Kingdom, European Union, Australia, India, and many other international regions.