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Remote Insurance Data Analytics Jobs in Maine (NOW HIRING)

Arkatechture

Lead Analyst

Portland, ME · On-site +1

$95K - $125K/yr

Remote Compensation: $95,000 - $125,000 / year Description Why Work Here? At Arkatechture, we have ... This role is responsible for driving resolution of complex data and analytics issues across the ...

Arkatechture

Lead Analyst

Portland, ME · On-site +1

A flexible remote work policy with optional access to our Portland, Maine office * A 4-day workweek ... This role is responsible for driving resolution of complex data and analytics issues across the ...

BerryDunn

Senior Healthcare Data Engineer

Portland, ME · On-site +1

$108K - $147K/yr

Overview BerryDunn's Healthcare Analytics Practice Group i s looking for a Senior Healthcare Data ... You can be in-office in either Portland, ME or Manchester, NH or potentially remote You Will

BerryDunn

Senior Healthcare Data Engineer

Portland, ME · On-site +1

$108K - $147K/yr

Overview BerryDunn's Healthcare Analytics Practice Group i s looking for a Senior Healthcare Data ... You can be in-office in either Portland, ME or Manchester, NH or potentially remote You Will

NinjaOne

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... Work closely with data scientists, analysts, and other teams to gather requirements, understand ...

IQVIA

Lead Clinical Data Manager (Remote)

Portland, ME · Remote

$68K - $217K/yr

This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ... with company match, life insurance, and discretionary PTO * Career growth and learning ...

IQVIA

Lead Clinical Data Manager (Remote)

Portland, ME · Remote

$68K - $217K/yr

This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ... with company match, life insurance, and discretionary PTO * Career growth and learning ...

NinjaOne

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... analytics solutions. * Write performant SQL to explore, model, and surface data from our Databricks ...

IMCS Group

Business Analyst - ETL Job Type: Full Time Experience Needed: 7+ years Contract: Long Term - with ... Remote US Client - USD Payment Responsibilities * Develop complex ETL processes and streaming data ...

NinjaOne

$117K - $154K/yr

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... Work closely with data scientists, analysts, and other teams to gather requirements, understand ...

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All JobsRemote Insurance Data Analytics JobsRemote Insurance Data Analytics Jobs in Maine

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:
Remote Insurance Data Analytics jobs near you
Lead Analyst

Lead Analyst

Arkatechture

Portland, ME • On-site, Remote

$95K - $125K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago

Job description

Lead Analyst
Department: Arkalytics - Support
Employment Type: Full Time
Location: Remote
Compensation: $95,000 - $125,000 / year
Description
Why Work Here?
At Arkatechture, we have a simple shared mission: to build a sustainable organization built upon three pillars: Do something meaningful, With a great team, Earning what you deserve.
Founded in 2012, Arkatechture has grown into a nationally recognized data and technology company, partnering with organizations across the fintech, AI, and financial services spaces. We combine deep industry knowledge with technical expertise to help our clients unlock the full potential of their data. Whether it's modernizing infrastructure, building analytics platforms, or leveraging AI for smarter decision-making, we thrive at the intersection of innovation and impact.
Our team is made up of curious, collaborative, and community-minded professionals who are passionate about solving complex problems and staying ahead of what's next in data and technology. While our roots are in New England, our reach is nationwide, and we support flexible, remote-friendly work to match.
We offer a competitive benefits package that includes:
  • A flexible remote work policy with optional access to our Portland, Maine office
  • A 4-day workweek after 3 years of service
  • Generous paid time off, including 11 holidays
  • Medical, disability, life insurance, and optional dental/vision
  • 401(k) retirement plan with company match
  • Training & certification reimbursement
  • Milestone recognition programs, annual PTO increases, and more

All employees share our core values: put the team first, practice humility, take pride in everything we do, stay curious, care for our community & environment, take work seriously; ourselves not so much.
The Position
Arkatechture is seeking a Lead Analyst, Data & Analytics to serve as a senior technical leader within the Arkalytics platform support function. This role is responsible for driving resolution of complex data and analytics issues across the full stack (SQL, ETL/ELT pipelines, data warehouses, and BI tools) while setting the standard for technical excellence across the team.
This individual operates as a hands-on expert and escalation point, partnering closely with and leading analysts, engineers, and customer-facing teams across US and India to ensure high-quality support and long-term platform reliability. The Lead Analyst serves as a key escalation point and is responsible for setting technical standards across troubleshooting, data model integrity, dashboard validation, and overall platform performance.
This is not a traditional service desk role. The ideal candidate brings deep, hands-on experience with modern analytics platforms such as Snowflake, Tableau, or Power BI and can diagnose issues across ingestion, transformation, warehouse, and visualization layers. In addition to resolving complex issues, this role partners closely with Engineering, Product, and Customer Success to drive long-term platform stability, scalability, and improvement.
How to Apply
Please send a cover letter and resume with your application. You must submit both documents to be considered for the position. We're building a diverse team of people who care about doing meaningful work with great people. If that excites you, apply and let's start the conversation.
Key Responsibilities
  • Lead and support the Data and Analytics Support Desk function, providing both technical leadership and day-to-day guidance to analysts and team members
  • Act as a player-coach, maintaining hands-on involvement in complex support cases while mentoring and developing the team
  • Serve as a senior escalation point for advanced SQL, ETL/ELT, data warehouse, and BI-related issues
  • Drive high-quality resolution of complex data platform issues, ensuring strong technical standards across all work
  • Coach and mentor team members to deepen technical expertise, improve troubleshooting approaches, and grow professionally
  • Own prioritization and triage of high-impact incidents, ensuring efficient routing and resolution
  • Drive SLA adherence while maintaining a high bar for technical accuracy and quality
  • Conduct root cause analysis (RCA) on recurring data defects and partner with Engineering and Product on structural improvements
  • Ensure clear, proactive, and technically sound communication with clients throughout issue resolution
  • Partner cross-functionally with Engineering, Product, and Customer Success to address systemic platform issues
  • Identify trends, risks, and opportunities to improve platform performance, reliability, and scalability. Partner with the Head of Support Services to implement structural improvements and elevate service quality.
  • Contribute to documentation, best practices, and knowledge sharing to reduce recurring issues
  • Support operational tooling (PagerDuty, Jira, etc.) to ensure effective incident management and reporting
  • Participate in hiring, onboarding, workforce planning, and performance management.
  • Additional responsibilities as assigned.

Skills, Knowledge and Expertise
Requirements
  • Bachelor's or Master's Degree in Computer Science, Engineering, or a related field.
  • 8-10+ years of experience in data, analytics, or BI platform environments
  • Experience leading or mentoring technical teams within data or analytics functions
  • Strong customer-facing experience with the ability to communicate technical concepts clearly
  • Advanced SQL expertise (complex joins, CTEs, query optimization, performance tuning)
  • Hands-on experience debugging ETL/ELT pipelines using SQL and/or Python
  • Experience with modern cloud data warehouses (Snowflake preferred; Databricks, Redshift acceptable)
  • Experience working within AWS environments
  • Experience with dbt
  • Strong analytical thinking and structured problem-solving approach in complex data environments
  • Ability to balance people leadership with hands-on technical ownership
  • Comfortable challenging architectural decisions and driving continuous platform improvement
  • Experience conducting root cause analysis (RCA) on data defects and partnering with engineering teams to implement structural fixes.
  • Demonstrated relationship skills. Works seamlessly externally (customers) and internally (Technical and customer success teams)
  • Incident management experience for SLA driven environments
  • Experience in SaaS or managed services models

Preferred Experience
  • AWS certifications (Cloud Practitioner, Developer, or Solutions Architect)
  • SnowPro Core Certification
  • Experience supporting fintech or financial services data environments
  • Familiarity with tools such as Jira, PagerDuty, Slack, and Confluence
  • Experience working with or supporting distributed teams (US and India)

Apply