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Southington, CT ยท On-site +1
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Southington, CT ยท On-site +1
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Hartford, CT ยท Remote
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Farmington, CT ยท Remote
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Farmington, CT ยท Remote
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Hartford, CT ยท On-site +1
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Hartford, CT ยท On-site +1
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Hartford, CT ยท On-site +1
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Hartford, CT ยท On-site +1
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Data Engineer II - Snowflake, dbt, AWS
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Data Engineer II - Snowflake, dbt, AWS
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Data Engineer II - Snowflake, dbt, AWS
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Benefits Operations Analyst - Data/EDI (Hybrid Wallingford, CT)
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Remote Data Visualization information
See Hartford, CT salary details
$54.5K - $64.3K
1% of jobs
$64.3K - $74.2K
14% of jobs
$74.2K - $84K
5% of jobs
$88.5K is the 25th percentile. Wages below this are outliers.
$84K - $93.9K
11% of jobs
$93.9K - $103.8K
10% of jobs
The median wage is $110.6K / yr.
$103.8K - $113.6K
14% of jobs
$121.6K is the 75th percentile. Wages above this are outliers.
$113.6K - $123.5K
26% of jobs
$123.5K - $133.3K
3% of jobs
$133.3K - $143.2K
2% of jobs
$143.2K - $153.1K
10% of jobs
$153.1K - $162.9K
5% of jobs
$54.5K
$110.4K
$162.9K
How much do remote data visualization jobs pay per year?
What is remote data visualization?
What are remote data visualization jobs?
A remote data visualization job allows you to work from home while assisting with the process of data visualization projects for a company. Your responsibilities may include reviewing analytics, creating engaging and interactive tools, portraying data in a visual way, developing presentations, interpreting data, and collaborating with other departments. You handle modeling, create charts and graphic depictions, gather datasets, produce reports, measure performance, and fulfill additional project duties as needed. You can find data visualization positions in various industries. Data visualization specialist, data visualization analyst, data visualization engineer, and data visualization director are some common job titles.
How do remote data visualization specialists typically collaborate with cross-functional teams to deliver insights?
What are the key skills and qualifications needed to thrive as a remote data visualization specialist, and why are they important?
What is the difference between Remote Data Visualization vs Remote Data Analyst?
| Aspect | Remote Data Visualization | Remote Data Analyst |
|---|---|---|
| Required Credentials | Degree in Data Science, Computer Science, or related field; proficiency in visualization tools | Degree in Data Analysis, Statistics, or related; strong analytical skills |
| Work Environment | Primarily focused on creating visual representations of data, often using tools like Tableau, Power BI | Analyzing datasets, generating reports, and providing insights, often using Excel, SQL, and statistical software |
| Industry Usage | Used across tech, finance, marketing, and consulting firms for presenting data insights visually | Common in finance, healthcare, retail, and marketing for data interpretation and decision-making |
Remote Data Visualization specialists focus on designing visual data representations to communicate insights effectively, while Remote Data Analysts analyze data sets to generate actionable insights. Both roles require analytical skills, but their core tasks and tools differ, making them distinct yet complementary positions in data-driven organizations.
What are the most commonly searched types of Data Visualization jobs in Hartford, CT?
The most popular types of Data Visualization jobs in Hartford, CT are:
What are popular job titles related to Remote Data Visualization jobs in Hartford, CT?
For Remote Data Visualization jobs in Hartford, CT, the most frequently searched job titles are:
What job categories do people searching Remote Data Visualization jobs in Hartford, CT look for?
The top searched job categories for Remote Data Visualization jobs in Hartford, CT are:
What cities near Hartford, CT are hiring for Remote Data Visualization jobs?
Cities near Hartford, CT with the most Remote Data Visualization job openings:

Full-time
Posted 12 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: 2โ5 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.