We are seeking a data-driven and analytical Conversational Intelligence Analyst to join our ... This is a remote position, but if you live within driving distance of one of our locations, you may ...
We are seeking a data-driven and analytical Conversational Intelligence Analyst to join our ... This is a remote position, but if you live within driving distance of one of our locations, you may ...
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Conduct advanced data analysis to identify drivers of loss, profitability, and underwriting performance * Develop dashboards, scorecards, and reporting frameworks for leadership visibility * Partner ...
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Remote Data Analyst information
See Wethersfield, CT salary details
$34K - $43.3K
4% of jobs
$43.3K - $52.5K
7% of jobs
$52.5K - $61.8K
13% of jobs
$62.4K is the 25th percentile. Wages below this are outliers.
$61.8K - $71.1K
18% of jobs
The median wage is $75.4K / yr.
$71.1K - $80.3K
16% of jobs
$80.3K - $89.6K
13% of jobs
$93.1K is the 75th percentile. Wages above this are outliers.
$89.6K - $98.9K
9% of jobs
$98.9K - $108.2K
5% of jobs
$108.2K - $117.4K
9% of jobs
$117.4K - $126.7K
3% of jobs
$126.7K - $136K
2% of jobs
$34K
$82.6K
$136K
How much do remote data analyst jobs pay per year?
What does a remote data analyst do?
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?
How do remote data analysts typically collaborate with team members and stakeholders given the virtual work environment?
What is the difference between Remote Data Analyst vs Remote Data Scientist?
| Aspect | Remote Data Analyst | Remote Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or Tableau | Bachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning |
| Work Environment | Primarily office-based or remote, focusing on data analysis and reporting | Primarily remote, involving complex data modeling and predictive analytics |
| Employer & Industry Usage | Used across finance, marketing, healthcare, and retail sectors | Common 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?
Can I get remote jobs as a remote data analyst?
Can you work remotely as a remote data analyst?
What are the most commonly searched types of Data Analyst jobs in Wethersfield, CT?
The most popular types of Data Analyst jobs in Wethersfield, CT are:
What are popular job titles related to Remote Data Analyst jobs in Wethersfield, CT?
For Remote Data Analyst jobs in Wethersfield, CT, the most frequently searched job titles are:
What cities near Wethersfield, CT are hiring for Remote Data Analyst jobs?
Cities near Wethersfield, CT with the most Remote Data Analyst job openings:

Full-time
Posted 19 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.