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Sentiment Analysis Jobs in Pennsylvania (NOW HIRING)

Ntta

$58K - $76K/yr

Oversee quality audits across all business lines (phone, in-person, email, chat, etc.), utilizing AI for real-time and post-interaction sentiment and compliance analysis. * Ensure consistency in ...

Bath Fitter

Marketing Specialist

York, PA · On-site

$55K - $65K/yr

... sentiment, and deliver actionable insights across the organization. If you thrive at the intersection of brand management, customer experience, and analytics , this is your opportunity to make a ...

Fivetran, Inc.

Senior Community Manager

Indiana, PA · On-site

$130 - $163/hr

... sentiment) and run experiments to improve them * Manage the community tool stack for digital engagement (Slack workflows, analytics, knowledge base, integrations, web portal) and document best ...

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Showing results 21-40

All JobsSentiment Analysis JobsSentiment Analysis Jobs in Pennsylvania

Sentiment Analysis information

See Pennsylvania salary details

$50.1K

$100.8K

$151.4K

How much do sentiment analysis jobs pay per year?

As of Sep 5, 2026, the average yearly pay for sentiment analysis in Pennsylvania is $100,841.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,700.00 and $132,800.00 per year, depending on experience, location, and employer.

What is a sentiment analysis?

A Sentiment Analysis job involves using natural language processing (NLP), machine learning, and data analysis techniques to evaluate and interpret emotions in text data. Professionals in this role analyze customer reviews, social media posts, and other textual content to determine sentiment as positive, negative, or neutral. They help businesses understand customer opinions, track brand perception, and improve decision-making. This role often requires skills in programming, data science, and linguistic analysis.

What are some common challenges encountered in sentiment analysis roles?

Professionals in Sentiment Analysis often face challenges such as dealing with nuanced language, sarcasm, and context-dependent expressions that can affect analysis accuracy. Datasets may require extensive cleaning and pre-processing, and models must be continually refined to keep up with evolving language trends. Collaborating closely with product, marketing, or data science teams is vital to ensure that sentiment insights translate into actionable strategies. Staying up-to-date with advancements in NLP and regularly validating models helps maintain the quality and relevance of your analyses.

What are the key skills and qualifications needed to thrive in the sentiment analysis position, and why are they important?

To excel in Sentiment Analysis, you need a solid understanding of natural language processing (NLP), data analysis, and a degree in computer science, linguistics, or a related field. Familiarity with tools such as Python (with libraries like NLTK, spaCy, or TextBlob), machine learning frameworks, and data visualization software is typically required. Strong problem-solving abilities, analytical thinking, and clear communication skills help professionals effectively interpret data and present insights. These capabilities are crucial for accurately assessing public opinion, improving customer experiences, and guiding business decisions through actionable sentiment data.

What are the most commonly searched types of Sentiment Analysis jobs in Pennsylvania?

The most popular types of Sentiment Analysis jobs in Pennsylvania are:

What are popular job titles related to Sentiment Analysis jobs in Pennsylvania?

For Sentiment Analysis jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Sentiment Analysis jobs in Pennsylvania look for?

The top searched job categories for Sentiment Analysis jobs in Pennsylvania are:

Sentiment Analysis jobs near you
Infographic showing various Sentiment Analysis job openings in Pennsylvania as of August 2026, with employment types broken down into 100% Full Time. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $100,841 per year, or $48.5 per hour.

QA QC Supervisor

Ntta

On-site

$58K - $76K/yr

Full-time

Re-posted 20 days ago

Key responsibilities

  • Supervise daily operations of the QA/QC team, including scheduling, task prioritization, and workload delegation.

  • Develop, maintain, and implement QA programs, SOPs, and scorecards, including those that leverage AI-based monitoring or transcription tools.

  • Analyze service performance data using AI-enhanced analytics to identify trends, risks, and improvement opportunities.

Job description

Job Description

The QA/QC Supervisor leads a team of Quality Analysts and Coordinators to ensure high service standards across all customer interactions. This role blends traditional quality assurance with modern tools like AI and automation to improve processes and outcomes.

Reporting to senior leadership, the Supervisor supports team development through coaching and performance reviews, while using data to spot trends and drive improvements. Known for strong leadership and a focus on innovation, the Supervisor works closely with other departments to maintain quality, boost efficiency, and enhance the customer experience.

Pay Range: Minimum: $58,094/annually- Midpoint: $76,440/annually

Retention Bonus: $1,000

Applicants are required to be eligible to lawfully work in the United States immediately. This position is not available for H1-B visa sponsorship.

Responsibilities:

Team Leadership & Staff Development

  • Supervise daily operations of the QA/QC team, including scheduling, task prioritization, and workload delegation.
  • Conduct coaching sessions, performance appraisals, and professional development plans.
  • Support hiring, onboarding, and training initiatives, including upskilling staff on AI-based tools and technologies.
  • Promote a high-performance team culture through motivation, recognition, and accountability.

Quality Assurance, AI Integration & Compliance

  • Develop, maintain, and implement QA programs, SOPs, and scorecards, including those that leverage AI-based monitoring or transcription tools.
  • Oversee quality audits across all business lines (phone, in-person, email, chat, etc.), utilizing AI for real-time and post-interaction sentiment and compliance analysis.
  • Ensure consistency in evaluation through calibration sessions and machine-learning-informed quality reviews.
  • Collaborate with Training and Operations teams to address quality trends and identify skill gaps, using AI insights to guide decision-making and coaching focus.

Performance Monitoring, Analytics & Reporting

  • Analyze service performance data using AI-enhanced analytics to identify trends, risks, and improvement opportunities.
  • Implement predictive analytics to proactively address quality or compliance concerns.
  • Prepare and present regular reports to management with actionable insights, including AI-driven dashboards and KPIs.
  • Track KPIs and ensure alignment with departmental and organizational quality goals, supported by intelligent automation.

Customer Experience & Intelligent Issue Resolution

  • Respond to escalated issues, ensuring timely and effective resolution, potentially aided by AI-driven triage systems.
  • Use customer, staff, and AI-generated feedback to enhance service delivery and QA processes.
  • Drive improvements in customer interactions by updating protocols, scripting, and knowledge base content, leveraging AI to optimize wording, tone, and clarity.

Communication, Collaboration & Change Leadership

  • Lead team meetings, huddles, and one-on-ones to ensure alignment and open communication, including change management around new AI tools or processes.
  • Serve as liaison between the QA/QC team and other departments to strengthen interdepartmental collaboration and support digital transformation.
  • Promote a culture of continuous feedback and improvement, supported by both human and AI-assisted evaluation methods.
  • Maintain composure and effectiveness under job-related stress, including multi-tasking, high work volumes, AI adoption curve, and dynamic customer or staff interactions.

Qualifications:

Minimum:

  • 5 years of QA experience with 1-2 years in a supervisor role
  • strong analytical, coaching, and communication skills
  • Associates degree or equivalent work experience
  • Experience with call monitoring software programs (Nice, Verint, Five 9, etc)
  • Familiarity with AI-powered QA platforms or interest in learning
  • Detail-oriented with a focus on accuracy and compliance
  • Proficient in Microsoft Office Suite (Excel, Word, Outlook)
  • Valid driver's license

Preferred:

  • Bachelor's degree or equivalent work experience
  • 3 - 5 years' Supervisory experience

NTTA is an Equal Opportunity Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability or veteran status.

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