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Remote Lab Data Analyst Jobs in Connecticut (NOW HIRING)

RevOps Analytics Manager

Shelton, CT · On-site +1

$100K - $120K/yr

Lead renewals campaign data and forecasting for the Inside Sales team. * Develop and maintain SQL ... Can be either fully remote (anywhere in U.S.) or hybrid model, depending on proximity to Shelton ...

These services include high and low bandwidth fiber optic transport, voice and data circuits ... Attend site surveys for assigned remote events for venue analysis and written pre-event plans.

These services include high and low bandwidth fiber optic transport, voice and data circuits ... Attend site surveys for assigned remote events for venue analysis and written pre-event plans.

These services include high and low bandwidth fiber optic transport, voice and data circuits ... Attend site surveys for assigned remote events for venue analysis and written pre-event plans.

These services include high and low bandwidth fiber optic transport, voice and data circuits ... Attend site surveys for assigned remote events for venue analysis and written pre-event plans.

These services include high and low bandwidth fiber optic transport, voice and data circuits ... Attend site surveys for assigned remote events for venue analysis and written pre-event plans.

Project Talent Model (PTM) is a model that is tailored specifically for long-term, remote client ... software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by ...

Project Talent Model (PTM) is a model that is tailored specifically for long-term, remote client ... software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by ...

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Remote Lab Data Analyst information

How does a Remote Lab Data Analyst typically collaborate with on-site laboratory staff and other remote team members?

A Remote Lab Data Analyst frequently communicates with on-site lab personnel and other remote colleagues through video meetings, collaborative platforms, and shared data systems. This close collaboration ensures data accuracy, timely reporting, and proper interpretation of lab results. Analysts often attend virtual team meetings to discuss findings, address challenges, and align on project goals. Effective communication and strong organizational skills are essential to bridge the gap between remote and in-person teams, making regular updates and clear documentation a key part of the role.

What are the key skills and qualifications needed to thrive as a Remote Lab Data Analyst, and why are they important?

To thrive as a Remote Lab Data Analyst, you need a strong background in statistics, data analysis, and laboratory science, often supported by a degree in a related field. Familiarity with data analysis tools like Excel, Python, R, and Laboratory Information Management Systems (LIMS) is typically required. Strong attention to detail, problem-solving abilities, and effective communication skills help you interpret and share findings with remote teams. These skills ensure accurate data interpretation, reliable reporting, and seamless collaboration across distributed laboratory environments.

What is the difference between Remote Lab Data Analyst vs Remote Laboratory Technician?

AspectRemote Lab Data AnalystRemote Laboratory Technician
CredentialsBachelor's in Data Science, Biology, or related field; certifications in data analysisAssociate's or Bachelor's in Laboratory Science or related field; technical certifications
Work EnvironmentPrimarily remote, analyzing digital data setsRemote or on-site, performing sample processing and testing
Industry UsageHealthcare, biotech, research institutionsClinical labs, research facilities, hospitals
Job FocusData analysis, reporting, data managementSample handling, testing, equipment operation

The Remote Lab Data Analyst and Remote Laboratory Technician roles share some overlap in scientific knowledge and industry context. However, the analyst focuses on interpreting data remotely, requiring strong analytical skills and data certifications, while the technician handles laboratory procedures and sample processing, often requiring technical lab certifications. Both roles are vital in research and healthcare sectors but differ in daily tasks and skill sets.

What is a Remote Lab Data Analyst?

A Remote Lab Data Analyst is a professional who collects, processes, and interprets laboratory data from a remote location. They use specialized software and analytical tools to ensure data accuracy and integrity, often working with scientific, medical, or industrial laboratories. Their role may include data validation, report generation, and collaboration with laboratory staff to improve data quality and support research or quality control objectives. Remote Lab Data Analysts typically require strong analytical skills, attention to detail, and proficiency with data management systems.
What are popular job titles related to Remote Lab Data Analyst jobs in Connecticut? For Remote Lab Data Analyst jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Remote Lab Data Analyst jobs in Connecticut look for? The top searched job categories for Remote Lab Data Analyst jobs in Connecticut are:
What cities in Connecticut are hiring for Remote Lab Data Analyst jobs? Cities in Connecticut with the most Remote Lab Data Analyst job openings:
Infographic showing various Remote Lab Data Analyst job openings in Connecticut as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.
Senior Consultant Performance Analytics Auto Claims

Senior Consultant Performance Analytics Auto Claims

The Hartford

Hartford, CT • On-site, Remote

Full-time

Posted 13 days ago


The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 110 frontline employees who took The Breakroom Quiz

53rd of 281 rated insurance


Job description

Sr Consultant Perf Analytics - GB07AE

We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.

The Auto Physical Damage Claims Performance Analytics team is seeking a Senior Performance Analytics Consultant to help evaluate operational and financial performance, identify emerging trends, and deliver insights that support confident business decisions. This role partners closely with Claims leaders, Performance Analytics teammates, Transformation and Optimization, Data Science, Product, Actuarial and segment leaders to connect data and business context.

This consultant will transform complex claims data into actionable insights, develop reporting and self-service analytics, helping leaders clearly see trends and understand the "why" behind them. The ideal candidate brings strong analytical skill, business curiosity, sound judgment, and the ability to communicate clearly with both technical and non-technical audiences. Success in this role requires analytical ownership, thoughtful problem framing, disciplined validation, and the ability to influence through evidence-based recommendations.

Key Responsibilities

  • Analyze Auto Physical Damage Claims results to identify trends, outliers, root causes, risks, and opportunities across operational and financial performance.

  • Partner with leaders and stakeholders to clarify business questions, define KPIs, prioritize analytics opportunities, and translate customer needs into actionable requirements.

  • Develop dashboards, scorecards, reporting exhibits, and self-service analytics that support performance management, risk detection, and executive decision-making.

  • Use structured analytical thinking, hypothesis-driven analysis, and appropriate statistical methods to evaluate trends movement, support hypotheses and recommendations.

  • Connect claims results with broader business, operational, industry, market, and macro trends to help leaders understand context.

  • Present complex findings clearly to non-technical and executive audiences, using strong data storytelling, visual design judgment, and business-friendly language.

  • Collaborate with data engineering and analytics partners to improve data accessibility, quality, governance, and repeatability of reporting solutions.

  • Lead work independently without formal authority, manage multiple priorities, and help partners move from insight to action.

Qualifications

  • Bachelor's degree preferred; experience in data analytics, performance analytics, business intelligence, or operational analytics preferred.

  • Degree in business Analytics, Statistics, Mathematics, or related field experience is a plus.

  • Experience in claims or insurance preferred; Auto Claims experience is a plus.

  • Demonstrated ability to extract, clean, integrate, analyze, and validate data from multiple sources, including large datasets.

  • Strong familiarity with analytics and visualization tools such as Snowflake, SQL, Tableau, Excel, ThoughtSpot, Power BI, Python, or similar tools.

  • Strong reporting and KPI design skills, including the ability to define, visualize, and explain metrics aligned to strategic goals.

  • Ability to frame business problems, question assumptions, evaluate evidence, and generate data-backed insights that are accurate, decision-ready, and grounded in business context.

  • Strong communication and storytelling skills, with the ability to tailor insights for executive, technical, and operational audiences.

  • Proven ability to build partnerships, influence without formal authority, and collaborate across Claims, Product, Actuarial, Operations, Data Science, or Transformation teams.

  • Comfort working in ambiguity, managing multiple priorities, and adapting as business needs, tools, and processes evolve.

  • Understanding of Agile is a plus.

Preferred Future-Ready Skills

  • Experience using advanced analytics, automation, or AI-enabled tools to improve speed, consistency, or quality of analytics work.

  • Comfort reviewing and validating AI-assisted outputs, including checking for accuracy, completeness, assumptions, and business relevance.

  • Ability to use prompts, natural language interfaces, or AI-supported workflows to accelerate analysis, reporting, or storytelling while maintaining human oversight.

  • Interest in helping shape repeatable, governed analytics processes as tools and workflows continue to evolve.

Work Arrangements

  • This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office locations (Hartford, CT, San Antonio, TX, Lake Mary, FL, Phoenix, AZ, Naperville, IL) will have the expectation of working in an office 3 days a week (Tuesday through Thursday).Candidates who do not live near an office will have aremote work arrangement, with the expectation of coming into an office as business needs arise.

Claims Performance Analytics Strategic Direction

  • Leverage technology, advanced analytics, and seamless collaboration to deliver timely, deep insights that help partners confidently navigate Claims and market changes.

Key Characteristics for Success

  • Trustworthy: Demonstrates authenticity, openness, integrity, and disciplined validation in analytics work.

  • Partnership Centric: Builds strong relationships, listens actively, understands stakeholder needs, and aligns insights to shared goals.

  • Value Oriented: Focuses on business outcomes, prioritizes high-value questions, and translates analysis into action.

  • Sought-After Expert: Brings curiosity, continuous learning, domain understanding, and sound judgment to complex analytical questions.

  • Adaptable: Embraces evolving tools, workflows, and expectations while maintaining quality, accuracy, and accountability.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$94,000 - $141,000

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us|Our Culture|What It's Like to Work Here|Perks & Benefits


What The Hartford employees say

Pay

Benefits

Hours and flexibility

Workplace

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Hartford logo

About Hartford

Sourced by ZipRecruiter

Hartford Financial Services Group, widely recognized as The Hartford, is a renowned company based in Hartford, CT, US. Established in 1810, it has evolved into an industry leader in the insurance and financial services sector, proudly serving more than one million businesses in the US. The Hartford is committed to offering a gamut of insurance products that include homeowners, automobile, and business insurance as well as employee benefits and mutual funds. The company’s core values revolve around customer-focused innovations, diversity and inclusion, and ethical dealings that have earned them a customer-centric reputation. This shapes their mission which revolves around aiding their clients to overcome unforeseen obstacles and enhancing their wealth over time. Among the company's noted accomplishments is being consistently listed among the World's Most Ethical Companies, a testament to their unwavering commitment towards responsible business practices.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Hartford, CT, US

Year founded

1810

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