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Remote Data Analytics Extern Jobs in Middletown, CT

Over 300 leading healthcare organizations have come to rely on MedInsight analytic solutions for ... This position is fully remote, while occasional travel may be required. Primary Responsibilities:

Medical Economics Analyst

Hartford, CT ยท Remote

$54K - $145K/yr

We are seeking professionals with expertise in either Data Analytics or Data Strategy to help ... This remote position is not eligible for employment sponsorship. Anticipated Weekly Hours 40 Time ...

Data & AI Delivery Lead

Hartford, CT ยท On-site +1

$156K - $234K/yr

Experience in data and analytics delivery and cloud migration (AWS/Snowflake). Preferred ... Hybrid / Or Remote This role can have a Hybrid or Remote work schedule. Candidates who live near ...

Sr. Cloud Architect

Hartford, CT ยท On-site +1

$137K - $205K/yr

The Hartford's Data Analytics and AI Office (DAIO) - and Data Platform Services (DPS) Team is ... This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office ...

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Remote Data Analytics Extern information

See Middletown, CT salary details

$36

$68

$85

How much do remote data analytics extern jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for remote data analytics extern in Middletown, CT is $68.45, according to ZipRecruiter salary data. Most workers in this role earn between $60.62 and $77.64 per hour, depending on experience, location, and employer.

What is a remote data analytics extern?

A Remote Data Analytics Extern is an individual, often a student or early-career professional, who participates in a temporary, remote internship or externship focused on data analytics. In this role, externs work with real-world datasets, perform data cleaning, analysis, and visualization, and often support business decision-making. The position is typically project-based and is designed to provide practical experience while allowing participants to work from anywhere. Remote Data Analytics Externs often collaborate with mentors and teams via digital communication platforms to complete their assignments. This experience helps build valuable technical and analytical skills for a future career in data science or analytics.

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

To thrive as a Remote Data Analytics Extern, you need a strong foundation in statistics, data analysis, and proficiency with programming languages like Python or R, often supported by relevant coursework or a related degree. Familiarity with data visualization tools (such as Tableau or Power BI), SQL databases, and spreadsheet software is typically expected. Strong attention to detail, problem-solving abilities, and effective communication skills help you interpret data and share findings with diverse teams. These skills are crucial for extracting actionable insights from data and effectively supporting business decision-making in a remote environment.

How does a remote data analytics extern typically collaborate with team members and mentors in a virtual setting?

As a Remote Data Analytics Extern, you will regularly communicate with your team and mentors through virtual platforms such as video calls, messaging apps, and shared project management tools. Collaboration often involves participating in regular check-ins, presenting findings, and seeking feedback on your analysis. You'll likely work on assigned tasks independently but will have opportunities to join group discussions, attend virtual workshops, and contribute to team projects. Effective remote collaboration relies on proactive communication, timely updates, and leveraging digital tools to stay connected and aligned with your team.

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

AspectRemote Data Analytics ExternRemote Data Analyst
CredentialsTypically pursuing or holding a relevant degree or certification in data analytics or related fieldsOften requires a degree in data science, statistics, or related fields; certifications like SQL, Python, or Tableau are common
Work EnvironmentInternship or externship setting, often part-time or temporary, with mentorshipFull-time or part-time remote position with ongoing responsibilities
Employer & Industry UsageUsed by educational institutions, training programs, or companies offering internship opportunitiesEmployed by companies across industries such as finance, healthcare, or tech as a regular employee or contractor

The main difference is that a Remote Data Analytics Extern is typically an internship or training role aimed at gaining experience, while a Remote Data Analyst is a full-time professional responsible for analyzing data and providing insights. The externship is often temporary and educational, whereas the analyst role involves ongoing work and responsibilities.

What cities near Middletown, CT are hiring for Remote Data Analytics Extern jobs?

Cities near Middletown, CT with the most Remote Data Analytics Extern job openings:

Remote Conversational Intelligence Analyst

Southington, CT โ€ข Remote

Full-time

Posted 18 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: 2โ€“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.