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Remote Data Analytics Manager Jobs in Lexington, MA

... analytics, care, and payment technology on a single data management foundation. At Cedar Gate, you ... Job Location Burlington, MA (Boston) Work Arrangement Hybrid (3 days in office, 2 remote) Roles ...

... analytics, care, and payment technology on a single data management foundation. At Cedar Gate, you ... Job Location Burlington, MA (Boston) Work Arrangement Hybrid (3 days in office, 2 remote) Roles ...

Customer Success Manager

Boston, MA · Remote

$70K - $80K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... in data, analytics, or education technology. * Highly organized and data driven, with strong ... Embrace remote work, with occasional travel (approximately 10-15%).   If you're ready to ...

Customer Success Manager

Boston, MA · Remote

$80K/mo

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... onboardingin data, analytics, or education technology. * Highly organized and data driven, with ... Embrace remote work, with occasional travel (approximately 10-15%).   If you\'re ready to ...

This is a remote, flexible role for candidates who are analytical, commercially curious, and ... Analyze data, documents, websites, interviews, and public information to form concise ...

Principal Clinical Data Manager United States (Remote) Responsibilities - Responsible for vendor ... Analytics Posting Date 17/02/2026, 00:38 Locations Remote, Cambridge, MA, 02139, US (Remote)

No prior AI experience is required--your consulting expertise, analytical thinking, and ... Annotate data, interpret findings, and perform fact-checking to ensure high-quality content.

Enterprise Data Analyst

Boston, MA · On-site +1

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

... Data Management & Quality * Partner with the Data Engineering team to source, integrate, and ... Share knowledge and best practices to elevate data and analytics capabilities across the Firm

... Data Management & Quality * Partner with the Data Engineering team to source, integrate, and ... Share knowledge and best practices to elevate data and analytics capabilities across the Firm

No prior AI experience is required--your consulting expertise, analytical thinking, and ... Annotate data, interpret findings, and perform fact-checking to ensure high-quality content.

No prior AI experience is required--your consulting expertise, analytical thinking, and ... Annotate data, interpret findings, and perform fact-checking to ensure high-quality content.

Showing results 41-60

Remote Data Analytics Manager information

See Lexington, MA salary details

$34.8K

$109.1K

$193.2K

How much do remote data analytics manager jobs pay per year?

As of Aug 18, 2026, the average yearly pay for remote data analytics manager in Lexington, MA is $109,146.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,200.00 and $141,000.00 per year, depending on experience, location, and employer.

What does a remote data analytics manager do?

A Remote Data Analytics Manager oversees a team of data analysts and manages data projects from a remote location. They are responsible for collecting, analyzing, and interpreting complex data to help organizations make informed business decisions. This role involves collaborating with various departments, setting analytics strategies, ensuring data quality, and presenting actionable insights to stakeholders. Remote Data Analytics Managers use a variety of tools and platforms to facilitate teamwork and maintain clear communication despite not being physically present in the office.

What are the key skills and qualifications needed to thrive as a remote data analytics manager?

To thrive as a Remote Data Analytics Manager, you need strong analytical skills, expertise in statistics, and a solid background in data management, typically supported by a degree in a quantitative field and experience in analytics leadership. Proficiency with data visualization tools (like Tableau or Power BI), SQL, and data analytics platforms, along with certifications such as Certified Analytics Professional (CAP), is highly beneficial. Excellent communication, leadership, and problem-solving skills help you effectively manage remote teams and translate complex data insights into actionable business strategies. These skills ensure data-driven decision-making, team productivity, and successful project outcomes in a virtual environment.

What are some common challenges faced by remote data analytics managers, and how can they be addressed?

Remote Data Analytics Managers often encounter challenges related to team communication and project coordination due to different time zones and limited face-to-face interaction. To address these issues, it’s important to establish clear communication protocols, use collaborative project management tools, and schedule regular check-ins to ensure alignment. Additionally, fostering a culture of transparency and encouraging proactive sharing of information helps keep all team members engaged and informed. By prioritizing these practices, remote managers can effectively lead their teams and maintain productivity.

What is the difference between Remote Data Analytics Manager vs Remote Data Analyst?

AspectRemote Data Analytics ManagerRemote Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; leadership experienceBachelor's in Data Science, Statistics, or related field; technical skills
Work EnvironmentOversees teams, manages projects, strategic planningPerforms data analysis, reports, data cleaning
Employer & Industry UsageTech companies, finance, healthcare, retailSame industries, often entry to mid-level roles

The Remote Data Analytics Manager focuses on leading teams and strategic oversight, while the Remote Data Analyst handles data processing and reporting tasks. Both roles require strong analytical skills, but the manager position emphasizes leadership and project management, making it suitable for those with experience in team coordination and strategic planning.

What are popular job titles related to Remote Data Analytics Manager jobs in Lexington, MA?

For Remote Data Analytics Manager jobs in Lexington, MA, the most frequently searched job titles are:

What cities near Lexington, MA are hiring for Remote Data Analytics Manager jobs?

Cities near Lexington, MA with the most Remote Data Analytics Manager job openings:

Infographic showing various Remote Data Analytics Manager job openings in Lexington, MA as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $109,146 per year, or $52.5 per hour.

Senior Analyst, Advanced Analytics: Auto Physical Damage (APD)

Liberty Mutual Insurance

MA • On-site, Remote

$83K/yr

Full-time

Re-posted 14 days ago


Liberty Mutual rating

8.8

Company rating: 8.8 out of 10

Based on 161 frontline employees who took The Breakroom Quiz

47th of 309 rated insurance


Job description

Description
The Auto Physical Damage (APD) Data Science team builds and deploys data science products that power faster, more consistent, and more accurate claims outcomes. Our portfolio spans both traditional machine learning models and Generative AI systems (e.g., document summarization, LLM-driven decision support, and unstructured-data extraction). As our model footprint grows, ensuring these systems remain accurate, reliable, and trustworthy in production is mission-critical.
We are seeking a Model Monitoring Analyst to design, build, and operate the systems that keep our production models healthy. You will be the owner of model observability across the APD portfolio - establishing how we detect performance degradation, data drift, and anomalous behavior for both classical ML and GenAI systems. This is a highly visible role that partners closely with data scientists, ML engineers, claims business partners, and model governance teams.
**Candidates who live within 50 miles of Boston, MA; Portsmouth, NH; Seattle, WA; Columbus, OH; or Plano, TX will follow a hybrid schedule, coming into the office two days per week. Otherwise, this role is remote with occasional travel.**
Key Responsibilities
  • Build monitoring infrastructure for production models, covering both traditional ML and GenAI/LLM systems, including automated pipelines, dashboards, and alerting.
  • Define and track model health metrics - for ML: accuracy, precision/recall, AUC, calibration, feature and prediction drift. For GenAI: output quality, hallucination/grounding checks, relevance, latency, token/cost usage, and guardrail adherence.
  • Detect and diagnose issues such as data drift, concept drift, performance decay, and data-quality breaks, then triage and escalate to the appropriate model owners.
  • Establish thresholds and alerting that balance early detection with alert fatigue, and document expected behavior and remediation runbooks.
  • Partner with data scientists and ML engineers to integrate monitoring into the model deployment lifecycle (CI/CD, MLOps/LLMOps).
  • Support model governance and compliance by producing monitoring evidence, audit-ready reporting, and documentation aligned with enterprise model risk management standards.
  • Analyze production outcomes against business KPIs to surface opportunities for model improvement or retraining.
  • Communicate findings clearly to both technical and non-technical stakeholders through reporting and periodic model health reviews.

The ideal candidate will have:
  • Bachelor's degree in a quantitative field (Statistics, Data Science, Computer Science, Engineering, Economics, or related), or equivalent experience.
  • 3+ years of experience in data analytics, data science, ML engineering, or a related analytical role.
  • Proficiency in SQL and Python for data manipulation and analysis.
  • Solid understanding of machine learning concepts and model performance evaluation.
  • Experience building dashboards and reports (e.g., Streamlit, Tableau, or similar).
  • Strong analytical, problem-solving, and communication skills, with attention to detail.

Additionally:
  • Graduate degree in a quantitative field (Statistics, Data Science, Computer Science, Engineering, Economics, or related), or equivalent experience.
  • Experience with model monitoring / observability tooling
  • Experience with A/B testing or experiment design to test impact of solutions
  • Familiarity with GenAI/LLM evaluation concepts - prompt/response quality, hallucination detection, retrieval-augmented generation (RAG), guardrails, and LLM cost/latency monitoring.
  • Exposure to cloud platforms (AWS, Azure, or GCP) and MLOps/LLMOps practices.
  • Knowledge of the auto claims or insurance domain.

Qualifications
  • Bachelor's Degree plus a minimum 3 years, typically 4 or more years of experience, or equivalent, is required.
  • Mathematics, Economics, Statistics or other quantitative field are preferred fields of study.
  • Advanced knowledge of data sources, tools, statistical principles and methodologies, and techniques.
  • Advanced proficiency in Excel (VBA, macros, scripts, formulas, data visualization, etc.), PowerPoint, and statistical software packages (SAS, Emblem).
  • Must have good planning, analytical, decision-making and communication skills. Solid understanding of business to improve business outcomes.

About Us
Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.
At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve.
We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://www.libertymutualgroup.com/about-lm/careers/benefits
Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.
Fair Chance Notices
  • California
  • Los Angeles Incorporated
  • Los Angeles Unincorporated
  • Philadelphia
  • San Francisco

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About Liberty Mutual

Sourced by ZipRecruiter

Since 1912, we've grown into the fifth largest global property and casualty insurer based on 2022 gross written premium. We also rank 86 on the Fortune 100 list of largest corporations in the US based on 2022 revenue. ​At Liberty Mutual Insurance we work hard every day to support our customers and our people, so they can protect their families, build their businesses and invest in their futures. We are headquartered in Boston, but our people, our customers and our reach span the globe. So to better serve our global customers and employees, we are organized into three business units.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

Boston, MA, US

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