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Remote Insurance Product Analyst Jobs in Missouri

Jobgether

This role offers the chance to work in a fast-paced, fully remote environment where innovation ... Analyze product performance and user behavior to identify trends, opportunities, and areas for ...

UMB Financial

Digital Product Analyst

Kansas City, MO · On-site +1

$57K - $90K/yr

Deposits, ACH, Wires, Lockbox, Remote Deposit Capture, Instant Payments, etc.). Applicants must ... insurance coverage; health savings, flexible spending, and dependent care accounts; adoption ...

Symmetry

Remote Insurance Sales Agent

Kansas City, MO · Remote

Remote Insurance Sales Agent Must be authorized to work in the US, no work visas offered at this ... Products that help clients set up tax-free retirement solutions to supplement their retirement.

Promoted2

Remote Insurance Agent

Kansas City, MO · Remote

$60K - $110K/yr

Remote Insurance Sales Agent | $60k-$110k+ First Year | No Cold Calling Earn strong first-year ... production bonuses, renewals starting at 1.75% from day one. Key Benefits * Flexible fully remote ...

Promoted2

Remote Insurance Agent

Saint Louis, MO · Remote

$60K - $110K/yr

Remote Insurance Sales Agent | $60k-$110k+ First Year | No Cold Calling Earn strong first-year ... production bonuses, renewals starting at 1.75% from day one. Key Benefits * Flexible fully remote ...

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Remote Insurance Product Analyst information

Is a remote insurance product analyst a good job?

A remote insurance product analyst is a role that involves analyzing insurance products, market trends, and customer data to support product development and strategy. It typically requires strong analytical skills, familiarity with data tools, and the ability to work independently in a remote environment. The job can offer flexibility and opportunities for career growth within the insurance industry.

How does a remote insurance product analyst typically collaborate with cross-functional teams while working offsite?

As a Remote Insurance Product Analyst, you will frequently work with teams such as underwriting, actuary, marketing, and IT, despite being offsite. Collaboration is often facilitated through virtual meetings, project management tools, and shared documentation platforms. Clear communication and proactive status updates are key to ensuring alignment and meeting project deadlines. Building strong relationships remotely can be challenging, but regular check-ins and participation in virtual brainstorming sessions help bridge the gap and maintain team cohesion.

What is the difference between Remote Insurance Product Analyst vs Remote Insurance Underwriter?

AspectRemote Insurance Product AnalystRemote Insurance Underwriter
Required CredentialsBachelor's in Business, Finance, or related field; certifications like CPCU or ARM beneficialBachelor's in Finance, Risk Management, or related; certifications like ARe or CPCU advantageous
Work EnvironmentCollaborates with product teams, marketing, and data analysts remotelyReviews applications, assesses risks, and makes underwriting decisions remotely
Employer & Industry UsageUsed by insurance companies developing and managing insurance productsEmployed by insurers to evaluate and approve insurance applications

The main difference is that Remote Insurance Product Analysts focus on developing and analyzing insurance products, while Remote Insurance Underwriters evaluate individual insurance applications to determine risk and coverage. Both roles require industry knowledge and certifications but serve different functions within the insurance process.

What does a remote insurance product analyst do?

A Remote Insurance Product Analyst is responsible for evaluating and improving insurance products by analyzing data, market trends, and customer feedback, all while working from a remote location. They collaborate with product managers, underwriters, and other teams to ensure products are competitive and meet regulatory requirements. Their work helps insurance companies optimize offerings, manage risk, and respond to changing market demands. This role typically involves using analytical tools, preparing reports, and recommending product enhancements.

What skills and qualifications are needed to thrive as a remote insurance product analyst?

To thrive as a Remote Insurance Product Analyst, you need strong analytical abilities, knowledge of insurance products, and a relevant degree in finance, actuarial science, or a related field. Familiarity with data analysis tools like Excel, SQL, and insurance software platforms, as well as certifications such as CPCU or AINS, is typically required. Excellent communication, problem-solving, and self-motivation are critical soft skills for collaborating remotely and interpreting complex information. These skills ensure accurate product development, effective risk assessment, and seamless teamwork in a virtual environment.
What are popular job titles related to Remote Insurance Product Analyst jobs in Missouri? For Remote Insurance Product Analyst jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Remote Insurance Product Analyst jobs in Missouri look for? The top searched job categories for Remote Insurance Product Analyst jobs in Missouri are:
What cities in Missouri are hiring for Remote Insurance Product Analyst jobs? Cities in Missouri with the most Remote Insurance Product Analyst job openings:
Remote Insurance Product Analyst jobs near you
Infographic showing various Remote Insurance Product Analyst job openings in Missouri as of August 2026, with employment types broken down into 82% Full Time, 9% Part Time, and 9% Contract. Highlights an 100% Remote job distribution.

Product Analyst

Jobgether

On-site, Remote

Full-time

Medical, PTO

Posted 9 days ago

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Product Analyst based in Netherlands.

As a Product Analyst, you will transform complex product and user data into actionable insights that drive business growth and enhance customer experiences. Working at the intersection of analytics, product management, and business strategy, you will help optimize product performance across digital platforms through data-driven decision-making. You will collaborate with cross-functional teams to evaluate new features, improve user journeys, and identify opportunities for increased engagement and revenue. This role offers the chance to work in a fast-paced, fully remote environment where innovation, ownership, and continuous learning are highly valued. It is an excellent opportunity for an analytical professional looking to make a measurable impact on product strategy and performance.

Accountabilities
  • Analyze product performance and user behavior to identify trends, opportunities, and areas for improvement.
  • Define, monitor, and optimize key product metrics such as retention, conversion, lifetime value, revenue, and churn.
  • Build and maintain dashboards and reporting solutions to support informed decision-making across Product, Marketing, and Operations teams.
  • Conduct in-depth analyses of customer journeys, feature adoption, promotional initiatives, and overall product performance.
  • Partner with Product Managers to evaluate new releases, product enhancements, and A/B testing initiatives.
  • Identify friction points within the customer journey and recommend data-backed improvements.
  • Collaborate with data teams to ensure the quality, consistency, and availability of analytical data.
  • Translate complex analytical findings into clear, actionable recommendations for both technical and business stakeholders.
  • Support customer segmentation, personalization initiatives, and market research to improve user engagement and business outcomes.
Requirements
  • Proven experience as a Product Analyst, Data Analyst, or in a similar analytical role within digital products.
  • Strong proficiency in SQL and experience working with large datasets.
  • Hands-on experience with business intelligence platforms such as Tableau, Power BI, Looker, or equivalent tools.
  • Solid understanding of product analytics, customer behavior analysis, experimentation, and A/B testing methodologies.
  • Experience with event-based analytics platforms such as Google Analytics 4, Amplitude, Mixpanel, or similar tools is an advantage.
  • Knowledge of digital product monetization models, customer lifecycle management, or online platform analytics is desirable.
  • Strong analytical thinking, problem-solving abilities, and exceptional attention to detail.
  • Excellent communication skills with the ability to present insights clearly to both technical and non-technical audiences.
  • Experience with Python or statistical analysis tools is considered a plus.
  • Self-motivated, adaptable, and comfortable working in a collaborative remote environment.
Benefits
  • Competitive compensation package.
  • Fully remote work with the flexibility to work from anywhere.
  • Flexible working hours to support work-life balance.
  • 28 days of paid annual leave.
  • 3 paid sick days without requiring a medical certificate.
  • Additional seniority leave based on tenure.
  • Birthday day off.
  • Career development opportunities and long-term professional growth.
  • Collaborative international team and supportive remote-first culture.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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