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Remote Data Analyst Jobs in Coventry, CT (NOW HIRING)

RTX Corporate

R2R SAP Business Analyst - Remote

Hartford, CT · On-site +1

$52.75 - $70.50/hr

US-CT-REMOTE Position Role Type: Remote U.S. Citizen, U.S. Person, or Immigration Status ... Experience with finance processes including such as Finance Master Data, Allocations, FP&A, ...

Legrand Slovenija

Azure Data Engineer

West Hartford, CT · Remote

$116K - $139K/yr

This is a remote position. Lead the design, development, and optimization of enterprise data ... This role will work closely with business, analytics, and governance teams to deliver scalable ...

micro1 AI

Cheminformatics Specialist - Remote

Hartford, CT · On-site +1

$90 - $120/hr

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

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All JobsData Analyst JobsRemote Data Analyst JobsRemote Data Analyst Jobs in Coventry, CT

Remote Data Analyst information

See Coventry, CT salary details

$34K

$82.5K

$135.8K

How much do remote data analyst jobs pay per year?

As of Aug 18, 2026, the average yearly pay for remote data analyst in Coventry, CT is $82,522.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,400.00 and $96,900.00 per year, depending on experience, location, and employer.

What does a remote data analyst do?

A Remote Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions, all while working from a location outside of a traditional office. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. Remote Data Analysts collaborate with team members via digital communication platforms and often present their findings to stakeholders to guide strategy and operations. Their work is essential in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are crucial.

What does a remote data analyst do?

Remote data analysts use a range of methods to chart, examine, and analyze data for their clients. Unlike in-house data analysts, remote data analysts, work from home or a different location outside of the office. As a remote data analyst, your job is to evaluate a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. Once the analysis is complete, you create reports for management to use to make critical decisions; this is why remote data analysts need to confirm the accuracy of the data. You may also need to present your reports to stakeholders.

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

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for collaborating remotely and presenting insights effectively. These skills ensure accurate data-driven decision-making and effective remote teamwork in a digital work environment.

How do remote data analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Data Analysts often rely on digital communication tools such as Slack, Microsoft Teams, and Zoom to stay connected with colleagues and stakeholders. They participate in regular virtual meetings, share dashboards or reports via cloud-based platforms, and provide data-driven insights to support decision-making. Successful remote analysts proactively communicate their findings, clarify requirements, and coordinate with cross-functional teams such as IT, marketing, or finance to ensure alignment on project goals and deliverables.

What is the difference between Remote Data Analyst vs Remote Data Scientist?

AspectRemote Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning
Work EnvironmentPrimarily office-based or remote, focusing on data analysis and reportingPrimarily remote, involving complex data modeling and predictive analytics
Employer & Industry UsageUsed across finance, marketing, healthcare, and retail sectorsCommon in tech, finance, and research industries

Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Remote Data Scientists develop models, perform advanced analytics, and work on predictive insights. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

Are remote data analyst jobs still in demand?

Remote data analyst jobs remain in high demand due to the increasing reliance on data-driven decision making across industries. Skills in data visualization, SQL, and statistical analysis are particularly valuable, and many companies continue to expand their remote analytics teams to access a broader talent pool.

Can I get remote jobs as a remote data analyst?

Remote data analyst positions are widely available and often require skills in data analysis tools like Excel, SQL, and Python. Many companies offer remote roles with flexible schedules, and candidates typically need a strong analytical background and good communication skills.

Can you work remotely as a remote data analyst?

Remote data analysts can often work from home or other locations, depending on the employer’s policies. Many companies offer remote positions that require skills in data analysis tools like Excel, SQL, or Python, and a reliable internet connection. Availability of remote work varies by organization and role requirements.
More about Remote Data Analyst jobs

What are the most commonly searched types of Data Analyst jobs in Coventry, CT?

The most popular types of Data Analyst jobs in Coventry, CT are:

What cities near Coventry, CT are hiring for Remote Data Analyst jobs?

Cities near Coventry, CT with the most Remote Data Analyst job openings:

Remote Data Analyst jobs near you
Infographic showing various Remote Data Analyst job openings in Coventry, CT as of August 2026, with employment types broken down into 42% Full Time, 29% Part Time, and 29% Contract. Highlights an 100% Remote job distribution, with an average salary of $82,522 per year, or $39.7 per hour.

Remote Conversational Intelligence Analyst

ACC PREMIERE

Southington, CT • Remote

Full-time

Posted 10 days ago

Job description

Conversational Intelligence Analyst

A conversational intelligence analyst evaluates customer and agent omni channel interactions using AI and natural language processing to extract intent, sentiment, and behavioral trends that drive business strategy, product development, and operational performance.

We are seeking a data-driven and analytical Conversational Intelligence Analyst to join our innovations team.

In this role, you will uncover actionable insights regarding customer sentiment, operational bottlenecks, and compliance trends. Your findings will directly influence product development, marketing strategies, and customer experience (CX) optimization.

**This is a remote position, but if you live within driving distance of one of our locations, you may be required to come into the office on occasion. This will be discussed with candidates that this applies to.**

Key Responsibilities

  • Data Synthesis: Extract, clean, and organize unstructured conversation logs into structured data frameworks.
  • Insight Generation: Track specific customer pain points, competitor mentions, and product feature feedback using NLP queries.
  • Dashboard Design: Create, maintain, and automate operational dashboards in BI tools (e.g., Tableau, Power BI) to display key performance indicators (KPIs) like customer satisfaction (CSAT) and script adherence.
  • Cross-Functional Collaboration: Partner closely with Customer Support, Product, and Quality Assurance teams to turn conversational data into specific workflow improvements.
  • Model Optimization: Train, refine, and maintain the accuracy of speech-to-text categorization models and automated sentiment rules.

Core Responsibilities

  • Data Mining & Transcription: Convert large volumes of unstructured audio and text logs into clean, searchable data Including creating flags/tags based on search criteria and questions from client teams.
  • Sentiment & Intent Tracking: Identify emotional shifts, customer pain points, and competitor mentions.
  • Dashboard & Report Building: Design operational reporting (often via tools like Tableau/PowerBI) to visualize metrics like script adherence and customer satisfaction (CSAT).
  • Process Optimization: Partner with operations and product teams to translate conversation trends into actionable business changes.

Key Tools & Technologies

  • Speech-to-Text & NLP Engines: Systems like CallMiner
  • Data Visualization: Advanced SQL and BI tools like Tableau or PowerBI.
  • CX Platforms: Enterprise analytics suites from vendors like Medallia or Genesys
  • AI Prompting: Ability to leverage syntax and AI assistants to create prompts.

Required Qualifications

  • Experience: 2–5 years of experience in data analytics, customer experience analytics, or business intelligence.
  • Technical Skills: Strong proficiency in SQL and experience building visualizations in Tableau or Power BI.
  • Platform Knowledge: Experience with speech/text analytics engines (e.g. CallMiner, Medallia, et al).
  • Communication: Ability to translate complex, quantitative datasets into clear, narrative-driven business recommendations for non-technical leadership.

Must be authorized to work in the US - No sponsorship available at this time.

EEO Statement:

ACC Premiere is an equal-opportunity employer. We consider applicants for all positions without regard to race, color, religion, creed, gender, national origin, ancestry, age, disability, veteran status, or any other status legally protected by federal, state, or local law.

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