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Data Analytics Jobs in Torrington, CT (NOW HIRING)

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How much do data analytics jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for data analytics in Torrington, CT is $54.04, according to ZipRecruiter salary data. Most workers in this role earn between $43.41 and $61.20 per hour, depending on experience, location, and employer.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What are the key skills and qualifications needed to thrive as a data analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

What are the most commonly searched types of Data Analytics jobs in Torrington, CT?

The most popular types of Data Analytics jobs in Torrington, CT are:

What are popular job titles related to Data Analytics jobs in Torrington, CT?

For Data Analytics jobs in Torrington, CT, the most frequently searched job titles are:

What cities near Torrington, CT are hiring for Data Analytics jobs?

Cities near Torrington, CT with the most Data Analytics job openings:

Infographic showing various Data Analytics job openings in Torrington, CT as of August 2026, with employment types broken down into 74% Full Time, 13% Part Time, 11% Contract, and 2% Nights. Highlights an 96% In-person, and 4% Remote job distribution, with an average salary of $112,406 per year, or $54 per hour.

Enterprise Architecture Principal - Data & Analytics

Cigna

Bloomfield, CT • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Cigna Healthcare rating

8.3

Company rating: 8.3 out of 10

Based on 239 frontline employees who took The Breakroom Quiz

41st of 889 rated healthcare providers


Job description

The Enterprise Architecture Principal - Data & Analytics is a senior technology leader responsible for defining the future enterprise data and analytics architecture strategy, target states, and multi-year roadmaps. This role recognized architecture authority architecture strategies, establishes technology standards, and creates multi-year roadmaps that support business goals and setting the northstar visionfor modern data platforms, analytics, and AI-enabled capabilities-translatingbusiness priorities into pragmatic, scalable, and future-ready architectures. The individual will be operating with high enterprise influence and no direct reports, this role requires strong executive presence, the ability to influence without authority, and a relentless focus on enabling data-driven decision making, hyper-personalization,and AI-first innovation.

Key Outcomes

  • Enterprise Data & Analytics Vision:Define and publish a business-aligned data and analytics architecture strategywith a clear 3-5 year roadmapcovering data platforms, governance, analytics, AI/ML, and integration layers.
  • Scalable & Reusable Data Foundations:Establish modern, modular data architecturesthat reduce fragmentation, promote reuse, and enable enterprise-scale analytics and AI.
  • Decision Velocity through Architecture Governance:Implement architecture principles, guardrails, and decision frameworks to improve speed, consistency, and quality of analytics and data platform decisions.
  • AI-Ready & Insights-Driven Enterprise:Enable analytics-ready data, semantic layers, and AI capabilitiesthat accelerate insights, automation, and intelligent decisioning.
  • Cross-Domain Alignment:Act as a unifying architecture leader across Digital, Data, AI, Security, and Business domainsto ensure alignment on key investment and design decisions.

Responsibilities

  • Develop and lead enterprise data and analytics architecture strategies and roadmaps.
  • Design and evolve enterprise data & analytics architecture strategy, capability maps, and target-state designs
  • Develop and maintain multi-year roadmapsaligned to business outcomes, cost optimization, and innovation priorities.
  • Lead architecture decisions for large-scale data, analytics, and AI initiatives.
  • Architect and support modern data platforms(cloud data lakehouse, streaming, real-time pipelines, semantic/ontology layers).
  • Partner with engineering, product, data, and business teams to deliver scalable and cost-effective solutions.
  • Evaluate emerging technologies and recommend innovative solutions that support business objectives.
  • Enable self-service analytics, BI, and advanced analytics capabilities across the enterprise.
  • Lead architecture for AI/ML platforms, feature stores, and model lifecycle integration.
  • Embed data governance, quality, lineage, metadata, and stewardship frameworksinto architecture design.
  • Drive innovation in AI/ML, GenAI, agentic analytics, and intelligent automation.
  • Provide architecture leadership for high-impact data and analytics initiatives.
  • Establish reference architectures, reusable patterns, and standardsfor enterprise adoption.
  • Develop reusable architecture patterns, frameworks, and standards for enterprise adoption.
  • Support modern engineering practices, including DataOps, MLOps, and automated deployment processes.
  • Partner with engineering, product, and data teams to ensure architectures are executable, scalable, and cost-efficient.
  • Provide technical leadership, mentoring, and guidance across the architecture and data community.
  • Enable adoption of modern engineering practices(DataOps, MLOps, CI/CD for data).
  • Influence strategic technology decisions and drive alignment across multiple teams and business areas.
  • Serve as a mentor and thought leaderacross the architecture and data community.
  • Drive adoption of best practices, patterns, and architectural discipline.

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • 10+ years of experience in enterprise architecture, data engineering, analytics platforms, or related disciplines.
  • Strong knowledge of cloud platforms such as Azure, AWS, or Google Cloud Platform (GCP).
  • Proven success defining data/analytics architecture strategies, target states, and roadmaps.
  • Experience with modern data platforms, APIs, streaming technologies, and data integration patterns.
  • Knowledge of data governance, privacy, security, and compliance frameworks.
  • Deep experience in large-scale, regulated enterprise environments(e.g., healthcare, financial services).
  • Experience with artificial intelligence (AI), machine learning (ML), and advanced analytics solutions.
  • Strong ability to influence senior stakeholders without direct authority.
  • Strong communication, leadership, and problem-solving skills.
  • Experience working in large, highly regulated industries such as healthcare or financial services is preferred.

Expertise in:

  • Modern data platforms (Lakehouse, Data Mesh, Data Fabric)
  • Cloud ecosystems (Azure, AWS, GCP)
  • APIs, event-driven architecture, and streaming
  • Data governance, security, and privacy frameworks
  • AI/ML and advanced analytics platforms

If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload.For this position, we anticipate offering an annual salary of 151,600 - 252,600 USD / yearly, depending on relevant factors, including experience and geographic location.

This role is also anticipated to be eligible to participate in an annual bonus and long term incentive plan.


At The Cigna Group, you'll enjoy a comprehensive range of benefits, with a focus on supporting your whole health. Starting on day one of your employment, you'll be offered several health-related benefits including medical, vision, dental, and well-being and behavioral health programs. We also offer 401(k), company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year, paid holidays, and leaves of absence. For more details on our employee benefits programs, click here.


About The Cigna Group

Doing something meaningful starts with a simple decision, a commitment to changing lives. At The Cigna Group, we're dedicated to improving the health and vitality of those we serve. Through our divisions Cigna Healthcare and Evernorth Health Services, we are committed to enhancing the lives of our clients, customers and patients. Join us in driving growth and improving lives.

Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.

If you need a reasonable accommodation to complete the online application process, please email seeyourself@thecignagroup.com for assistance. Please note that this email inbox is dedicated to accommodation requests only and cannot provide application updates or accept resumes.

The Cigna Group has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State.

Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.


What Cigna Healthcare employees say

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About Cigna

Sourced by ZipRecruiter

Cigna Corporation exists to improve lives. We are a global health service company dedicated to improving the health, well-being and peace of mind of those we serve. Together, with colleagues around the world, we aspire to transform health services, making them more affordable and accessible to millions. Through our unmatched expertise, bold action, fresh ideas and an unwavering commitment to patient-centered care, we are a force of health services innovation. When you work with us, or one of our subsidiaries, you'll enjoy meaningful career experiences that enrich people's lives.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Bloomfield, CT, US

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