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Sentiment Analysis Jobs in New Jersey (NOW HIRING)

Community Manager

Camden, NJ · On-site

$23 - $27/hr

In addition to day-to-day community management, this role will play an important part in reporting and sentiment analysis, helping the team identify customer trends, analyze engagement data, and ...

Lead the Solutioning architecture and Design of generative AI solutions, leveraging NLP, text analytics, sentiment analysis, transformer models, GenAI, LLM and vector databases to drive innovation ...

AI Engineer

Florham Park, NJ · On-site

$50K - $112K/yr

... text analytics and sentiment analysis - Implementing neural networks and deep learning methods for advanced AI applications - Managing data quality and infrastructure to support reliable AI ...

New

Communications Specialist

Wall, NJ · Hybrid

$77K - $104K/yr

... sentiment analysis, identifying opportunities for continuous improvement. • Supports website content management by developing and maintaining company website, serving as content owner, and ...

New

... sentiment and competitive intelligence. Qualifications * 6-8+ years of experience in competitive intelligence, strategy, market research, consulting, or marketing strategy * Experience analyzing ...

... sentiment and competitive intelligence. Qualifications * 6-8+ years of experience in competitive intelligence, strategy, market research, consulting, or marketing strategy * Experience analyzing ...

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Showing results 1-20

Sentiment Analysis information

See New Jersey salary details

$50.8K

$102.1K

$153.3K

How much do sentiment analysis jobs pay per year?

As of Jul 29, 2026, the average yearly pay for sentiment analysis in New Jersey is $102,132.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,500.00 and $134,500.00 per year, depending on experience, location, and employer.

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.

Can I be a data analyst with no experience?

Sentiment analysis is a skill often used by data analysts, and entry-level positions may be available for those without prior experience if they have relevant skills like basic statistics, data visualization, and familiarity with tools such as Excel or Python. Gaining certifications or completing online courses can improve chances of entry into the field. However, most data analyst roles typically require some foundational knowledge or related experience.

How much do body language analysts make?

Body language analysts, often considered specialists in nonverbal communication, typically earn between $40,000 and $80,000 annually, depending on experience, location, and industry. Advanced skills in psychology, communication, and analysis tools can influence salary levels.

What is a Sentiment Analysis job?

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 is the work of sentiment analysis?

Sentiment analysis involves using natural language processing and machine learning techniques to identify and classify emotions or opinions expressed in text data. Professionals in this field develop models to analyze customer feedback, social media posts, or reviews to determine overall sentiment, supporting businesses in understanding public perception. Skills in data analysis, programming, and familiarity with tools like Python or R are often required.

What is the highest paying job in data analytics?

In data analytics, senior roles such as Data Science Manager, Director of Data Analytics, or Chief Data Officer typically have the highest salaries, often exceeding six figures annually. These positions require advanced skills in statistical analysis, machine learning, and leadership, along with experience in tools like Python, R, and SQL.

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 popular job titles related to Sentiment Analysis jobs in New Jersey? For Sentiment Analysis jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Sentiment Analysis jobs in New Jersey look for? The top searched job categories for Sentiment Analysis jobs in New Jersey are:
Infographic showing various Sentiment Analysis job openings in New Jersey as of July 2026, with employment types broken down into 88% Full Time, 10% Part Time, and 2% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $102,132 per year, or $49.1 per hour.

Community Manager

Mondo

Camden, NJ • On-site

$23 - $27/hr

Contractor

Medical, Dental, Vision, Retirement

Posted 4 days ago


Job description

Job Title: Community Manager Location: Hybrid – Camden, NJ (3 days onsite: Monday, Tuesday, Thursday) Duration: 12-Month Contract Start Date: ASAP Compensation: $23–27/hour W2 Benefits: Eligible for Health, Dental, Vision, and 401(k) Visa Sponsorship: Not eligible for visa sponsorship Job Description Our client is seeking a Community Manager to support its social media team by managing high-volume community engagement across multiple social platforms. This individual will serve as the voice of the brand, responding to customer interactions, monitoring trends, supporting social campaigns, and helping transform user-generated content into engaging social posts. In addition to day-to-day community management, this role will play an important part in reporting and sentiment analysis, helping the team identify customer trends, analyze engagement data, and support campaign performance reporting. This is an excellent opportunity for someone with experience managing social communities for a corporate brand or large organization who enjoys working in a fast-paced, collaborative environment. Job Summary
  • Manage high-volume inbound social media engagement across Facebook, Instagram, TikTok, and other social platforms.
  • Respond to customers in a timely, brand-appropriate voice while identifying opportunities for engagement.
  • Monitor conversations and proactively identify customer sentiment trends, recurring issues, and potential escalations.
  • Support campaign reporting by analyzing inbox volume, engagement trends, and customer sentiment.
  • Pull and manipulate reporting using Sprout Social or a similar social media management platform.
  • Tag, categorize, and analyze inbound engagement data to support business insights.
  • Identify and curate user-generated content (UGC) for future social media use.
  • Assist with light content creation and adaptation for organic social channels.
  • Collaborate closely with social media, marketing, and customer advocacy teams.
  • Work onsite in Camden, NJ three days per week (Monday, Tuesday, Thursday).
Minimum Requirements
  • 1 year of professional experience in social media community management or social media coordination for a corporate brand, agency, or large nonprofit.
  • Experience managing high-volume inbound engagement across social media platforms.
  • Hands-on experience with Facebook, Instagram, and TikTok.
  • Experience using social media management platforms such as Sprout Social, Sprinklr, Khoros, Hootsuite, Later, Dash Hudson, or similar.
  • Experience pulling basic reporting and analyzing engagement metrics within a social media platform.
  • Strong written communication skills with the ability to communicate in a consistent brand voice.
  • Proficiency with Microsoft Excel, PowerPoint, and Canva.
  • Ability to identify trends, flag issues, and escalate customer concerns appropriately.
  • Comfortable working in a fast-paced environment with evolving priorities.
Preferred Qualifications
  • Experience with user-generated content (UGC) sourcing and curation.
  • Experience supporting sentiment analysis and social listening initiatives.
  • Automotive industry or consumer brand experience.
  • Experience supporting highly engaged online communities.
  • Familiarity with influencer or creator content.
  • Strong visual instincts and basic design experience.
Ideal Candidate The ideal candidate is an organized and proactive community manager who enjoys engaging with customers, analyzing social trends, and collaborating across teams. They are comfortable balancing customer interactions with reporting responsibilities and can confidently identify patterns, escalate issues, and support social media campaigns with actionable insights. Soft Skills
  • Excellent written communication
  • Community-first mindset
  • Strong attention to detail
  • Adaptable and comfortable with change
  • Proactive and transparent communicator
  • Comfortable making judgment calls and escalating issues when appropriate
  • Collaborative while able to work independently
  • Receptive to feedback and quick to implement it