2

Remote Insurance Data Analytics Jobs in Maine (NOW HIRING)

... programs for data collection, engineering, and environmental applications #LI-Remote Skills ... Experience with FEMA's Risk MAP and National Flood Insurance Program (strongly preferred)

DemandFactor is a data-driven B2B growth and demand-generation company helping brands find, engage ... Manage marketing KPIs, analytics, attribution, and budget * Build and grow the marketing team What ...

Manager, Actuarial Analytics

Belfast, ME ยท Remote

$114K - $194K/yr

The FP&A team partners across the business to turn financial data into actionable insights that ... Remote Expected Compensation $114,000 - $194,000 The base salary range shown reflects the full ...

Analyze market trends, customer needs, and competitive landscape to inform go-to-market strategies ... Existing network within the data center industry. #LI- BB1 #LI-Remote Equal employment opportunity ...

Design Engineer

Gorham, ME ยท On-site +1

The Design Engineer exercises discretion in selecting analytical methods, interpreting data, and ... This role is remote, with the expectation that candidates are located within a reasonable driving ...

The Design Engineer exercises discretion in selecting analytical methods, interpreting data, and ... This role is remote, with the expectation that candidates are located within a reasonable driving ...

next page

Showing results 1-20

Remote Insurance Data Analytics information

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 Maine? For Remote Insurance Data Analytics jobs in Maine, the most frequently searched job titles are:
What job categories do people searching Remote Insurance Data Analytics jobs in Maine look for? The top searched job categories for Remote Insurance Data Analytics jobs in Maine are:
What cities in Maine are hiring for Remote Insurance Data Analytics jobs? Cities in Maine with the most Remote Insurance Data Analytics job openings:
Bioinformatics Engineer II (Remote/East Coast)

Bioinformatics Engineer II (Remote/East Coast)

Parse Biosciences

Portland, ME โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 13 days ago


Job description

WHO WE ARE

Parse Biosciences is a global life sciences company whose mission is to accelerate progress in human health and scientific research. Empowering researchers to perform single cell sequencing with unprecedented scale and ease, our pioneering approach has enabled groundbreaking discoveries in cancer treatment, tissue repair, stem cell therapy, kidney and liver disease, brain development, and the immune system.

Founded based on a transformative technology invented at the University of Washington, Seattle-based Parse has raised over $100 million and is used by over 3,000 labs across the world. Our growing portfolio of products includes Evercode Whole Transcriptome, Evercode TCR, BCR, Gene Capture, and Trailmaker, a software tool for data analysis.

THE PRODUCT

We've built the most popular, freely available cloud-based platform for single cell RNA sequencing data analysis - Trailmaker. Trailmaker allows anyone to easily turn their single cell datasets into meaningful biology. With >1200 monthly active users from top tier research institutions across the world, we're offering a rare opportunity to join our team and change the world by building tools that help to improve human health.

The user requirements for Trailmaker dictate a unique set of technical challenges. Handling big data files, running custom data processing pipelines, on-the-fly computation, and providing interactive data visualisations with millions of data points are just some of the challenges our team is busy with!

THE POSITION

As a Bioinformatics Engineer II within the Trailmaker development team, you will play a key role in guiding the technical direction of the platform while contributing hands-on across the full stack. You'll collaborate closely with other engineers to architect and build new features that drive user engagement. This is a highly collaborative environment with no division between backend, frontend or testing roles - each engineer contributes to any part of the codebase and is responsible for the entire development process from work planning, through implementation and writing tests to completing the feature.

YOU CAN EXPECT

  • An agile, diverse and multidisciplinary team.
  • A supportive, inclusive and transparent working environment where teammates learn from and help each other all the time.
  • A place to look at things differently, challenge and offer solutions.
  • A small team environment where you will have the opportunity to make a significant impact by actively driving change in technology, processes and culture.
  • A fast-paced environment of continuous improvement, optimised for impact.

IN THIS POSITION, YOU WILL

This position is for full time, 100% remote work. We would expect you to:

  • Always put the user first.
  • Design, prototype, develop, and test new computational pipelines and visualizations for single cell data analysis in Trailmaker.
  • Continuously iterate and improve existing single cell pipelines and features.
  • Receive and incorporate feedback from customers and colleagues.
  • Perform troubleshooting of customer analyses.
  • Keep up-to-date on the rapidly evolving field of single cell genomics and relay observations of new methods, benchmarking studies, etc. to the team.
  • Experiment, test, try, fail and learn continuously.
  • Think like an owner, and take pride in your work.
  • Help and mentor teammates.

FOR THIS POSITION, WE LOOK FOR

  • Someone excited about building tools that will be used by thousands of single cell researchers.
  • A track record of designing, building and improving data analysis software that solves user problems.
  • A degree in bioinformatics (or similar) and 3+ total years of experience working in bioinformatics engineer roles. Additional experience (5+ years) is necessary to be appointed at Bioinformatics Engineer II level.
  • Fluent in Python and R.
  • Practical experience of working with open source single cell data analysis tools and packages, including Scanpy and Seurat.
  • Competency working with container-based cloud applications, ideally on AWS.
  • Strong data visualization skills.
  • Significant experience in conducting code reviews and providing feedback to others.
  • Experience and desire to work as part of a close-knit team.
  • Experience using version control systems such as Git/GitHub is preferred.
  • Proficiency building pipelines with Nextflow or similar frameworks is preferred.
  • Experience of integrating AI tools into development workflows is preferred.
  • Knowledge of and/or interest in web development is preferred.
  • Experience working with Bash is preferred.

JOB CONDITIONS

  • This position is home office based and will require a reliable internet connection and suitable workspace to fulfill job duties effectively. Laptop and any other essential technical/home office equipment will be provided.
  • Regular communication and collaboration with team members will occur virtually through Zoom meetings, Slack instant messaging/huddles, and email.

Parse Biosciences is proud to be an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other status protected by federal, state, or local law.

As part of our commitment to fairness and inclusion, we do not use artificial intelligence or automated systems to screen job applications. Every application is reviewed by a member of our hiring team to ensure that hiring decisions are made thoughtfully and equitably.

To meet the health and wellness needs of our team, Parse offers a comprehensive benefits package for all full time employees, including:
  • Medical, dental, vision, and Rx (prescription) coverage beginning on the 1st day of the month following your start date. Parse covers 90% of the monthly premiums for employees, and 60% for dependents.
  • A 401(k) program with no waiting period to participate
  • Basic life insurance and short and long-term disability coverage. Monthly premiums for both are covered at 100% by Parse.
  • Flexible spending account (FSA) options for medical, dependent care, and commuter expenses
  • A transportation program (Seattle only)
  • 12 paid holidays annually and a winter holiday break
  • A generous time off policy
Market Pay Range - Exact compensation offered will be determined based on the candidate's education, experience, skills, and geographic location, and may vary for candidates in regions with significantly different market conditions.
$100,000โ€”$135,000 USD