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Remote Insurance Data Analytics Jobs in Allen, TX

Truvani

eCommerce Data Analyst - REMOTE

Dallas, TX · Remote

ABOUT THE POSITION As Truvani's Junior eCommerce Data Analyst, you will leverage analytics ... Manage our Analytics Pipeline * Build custom dashboards using our Analytics Tech Stack WHAT SUCCESS ...

Truvani

eCommerce Data Analyst - REMOTE

Dallas, TX · On-site +1

ABOUT THE POSITION As Truvani's Junior eCommerce Data Analyst, you will leverage analytics ... Manage our Analytics Pipeline * Build custom dashboards using our Analytics Tech Stack WHAT SUCCESS ...

Citizens

Principal Data Analyst- Capital Markets

Plano, TX · On-site +1

$140K - $170K/yr

Advanced Analytics & Feature Development * Design highquality, productionready data transformations ... Hybrid: 4 days per week on-site, 1 day remote Pay Transparency The salary range for this position ...

Citizens

Principal Data Analyst- Capital Markets

Plano, TX · On-site +1

$140K - $170K/yr

Advanced Analytics & Feature Development * Design highquality, productionready data transformations ... Hybrid: 4 days per week on-site, 1 day remote Pay Transparency The salary range for this position ...

Tapcheck

Data Analyst

Plano, TX · Remote

You will own the analytics function for Tapcheck's Customer Support organization. Your job is to ... If remote, Ideally, candidates will sit in the following states: AL, AZ, CA, CO, DC, DE, FL, GA, ID ...

LTK USA

Data Analyst

Dallas, TX · Remote

US-Remote About the role The Insights & Analytics team at LTK is a core driver of how the company ... Medical Insurance, Vision Insurance, Dental Insurance * Paid Maternity Leave and Paid Paternity ...

1 point system

BI/Data Analyst

Dallas, TX · Remote

BI/Data Analyst Location: Remote (TX, GA, ID, OR, SC, WA) Duration: 6+ Months Contract Interview Type: Video Required Skills: * Source to target mapping - process and documentation * Strong SQL ...

Canadian Solar

Production Data Analyst

Mesquite, TX · On-site +1

Specialist I, Production Data Analyst Company Overview: Canadian Solar is a global leader in the ... Flexible working hours and potential for remote work depending on the company policy ...

RedSail Technologies, LLC

Clinical Data Scientist

Irving, TX · On-site +1

$130K - $160K/yr

Analyzing the main characteristics of the data often through visualization and summary statistics ... Position is performed in a general office environment, home office, or approved remote workspace ...

Soleo Health Inc

Commercial Sales Data Analyst

Frisco, TX · On-site +1

$70K - $95K/yr

... Remote with willingness to travel. Join us in Simplifying Complex Care! Soleo Health Perks ... Affordable Medical, Dental, & Vision Insurance Plans * Company Paid Disability & Basic Life ...

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All JobsInsurance Data Analytics JobsRemote Insurance Data Analytics JobsRemote Insurance Data Analytics Jobs in Allen, TX

Remote Insurance Data Analytics information

See Allen, TX salary details

$22

$50

$87

How much do remote insurance data analytics jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for remote insurance data analytics in Allen, TX is $50.92, according to ZipRecruiter salary data. Most workers in this role earn between $40.91 and $57.69 per hour, depending on experience, location, and employer.

What is the difference between Remote Insurance Data Analytics vs Remote Insurance Underwriter?

AspectRemote Insurance Data AnalyticsRemote Insurance Underwriter
Required CredentialsBachelor's in Data Science, Statistics, or related field; often certifications in data analysis or analyticsBachelor's in Business, Finance, or related; often requires insurance licensing or certifications
Work EnvironmentPrimarily data analysis, modeling, and reporting; often collaborative with IT and actuarial teamsAssessing risks, reviewing applications, making underwriting decisions; involves communication with agents and clients
Employer & Industry UsageUsed across insurance companies, reinsurers, and brokers for data-driven decision makingUsed by insurance carriers to evaluate and approve policies

Remote Insurance Data Analytics focuses on analyzing insurance data to inform business decisions, while Remote Insurance Underwriters evaluate individual insurance applications to determine coverage. Both roles are essential in the insurance industry but differ in daily tasks and required skills.

What is remote insurance data analytics?

Remote insurance data analytics is the practice of analyzing insurance-related data, such as claims, risk assessments, and customer information, from a location outside of a traditional office setting. Professionals in this field use statistical methods, data mining, and machine learning tools to identify patterns, detect fraud, and help insurance companies make data-driven decisions. This remote role often requires proficiency in data analysis tools like SQL, Python, or R, and a strong understanding of insurance industry concepts. Remote insurance data analysts collaborate with teams virtually to provide insights and support business strategies, making it a flexible career option.

How do Remote Insurance Data Analytics professionals typically collaborate with cross-functional teams to drive business insights?

Remote Insurance Data Analytics professionals often work closely with underwriters, actuaries, claims managers, and IT teams to gather data requirements, interpret findings, and implement data-driven solutions. Collaboration usually happens through virtual meetings, collaborative dashboards, and project management tools to ensure clear communication and alignment on objectives. This cross-functional approach helps identify trends, optimize risk assessments, and support strategic decision-making within the organization. Building strong relationships with team members across departments is key to successfully translating analytical results into actionable business strategies.

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

To excel in Remote Insurance Data Analytics, you need strong analytical skills, a background in statistics or mathematics, and typically a degree in data science, actuarial science, or a related field. Familiarity with data analysis tools like SQL, Python, R, and specialized insurance analytics platforms such as SAS or Tableau, as well as relevant certifications, is highly valuable. Attention to detail, problem-solving abilities, and effective communication set candidates apart in this role. These skills are crucial for transforming complex insurance data into actionable insights that drive informed business decisions and risk assessments.
What are popular job titles related to Remote Insurance Data Analytics jobs in Allen, TX? For Remote Insurance Data Analytics jobs in Allen, TX, the most frequently searched job titles are:
What job categories do people searching Remote Insurance Data Analytics jobs in Allen, TX look for? The top searched job categories for Remote Insurance Data Analytics jobs in Allen, TX are:
What cities near Allen, TX are hiring for Remote Insurance Data Analytics jobs? Cities near Allen, TX with the most Remote Insurance Data Analytics job openings:
Remote Insurance Data Analytics jobs near you
Senior Data Scientist - Operation Research

Senior Data Scientist - Operation Research

Tiger Analytics Inc.

Dallas, TX • On-site, Remote

Full-time

Posted 23 days ago

Job description

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

We are also market leaders in AI and analytics consulting in the CPG & retail industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space.

We are looking for a Senior Data Scientist with a good blend of data analytics background, practical experience in Operation research strategies and Pricing Analytics within supply chains, and strong coding capabilities to add to our team.

Key Responsibilities:

  • Responsible for refactoring the Optimization algorithm written in Python using Object Oriented Programming
  • Work on the latest applications of data science to solve business problems in the Supply chain and optimization space of Retail and/or CPG.
  • Utilize advanced statistical techniques and data science algorithms to analyze large datasets and derive actionable insights related to Pricing Optimization.
  • Develop and implement predictive models and optimization algorithms to improve inventory management, reduce stockouts, and optimize resource allocation across the supply chain.
  • Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
  • Design and execute experiments to evaluate the effectiveness of different replenishment strategies and allocation policies.
  • Monitor and analyze key performance indicators (KPIs) related to replenishment and supply chain allocation, and provide recommendations for continuous improvement.
  • Stay abreast of industry trends and best practices in data science, replenishment optimization, and supply chain management, and leverage this knowledge to drive innovation within the organization.
  • Collaborate, coach, and learn with a growing team of experienced Data Scientists.

Requirements

  • Proven experience 10+ years working as a Data Scientist, with a focus on supply chain optimization and inventory allocation.
  • MS or PhD in Computer Science, Operations Research, Applied Mathematics, Machine Learning, or a related field.
  • Experience with using mathematical programming solvers such as Gurobi, Xpress MP, CPLEX, or Google OR Tools in applications.
  • Solid understanding of statistical methods, optimization techniques, and predictive modelling concepts.
  • Strong proficiency in programming languages such as Python, Pyspark and SQL, and experience working with data analysis and machine learning libraries.
  • Ability to apply various analytical models to business use cases
  • Exceptional communication and collaboration skills to understand business partner needs and deliver solutions and explain to business stakeholders.

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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