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Sentiment Analysis Jobs (NOW HIRING)

Sarian, Inc.

Data Scientist

Addison, TX · On-site

Named entity recognition, document classification, document summarization, topic modelling, dialog systems, sentiment analysis, ocr text processing. * Knowledge and hands-on experience working with ...

TecTammina

Data Analyst(Full Time)

Redmond, WA · On-site

Exposure to sentiment analysis, forecasting/predictive analysis. 2+ years of strong SQL programming are required including mining large amount of data from different sources, perform complex ...

Knak Digital

Solutions Engineer

Manhattan, NY · On-site

$90K - $140K/yr

Translate ML capabilities (sentiment analysis, logo/facial recognition, OCR, narrative detection across text, image, audio, and video) into concrete business cases * Present to C-suite and hands-on ...

Knak Digital

Solutions Engineer

Manhattan, NY · Remote

$90K - $140K/yr

Translate ML capabilities (sentiment analysis, logo/facial recognition, OCR, narrative detection across text, image, audio, and video) into concrete business cases * Present to C-suite and hands-on ...

Waymo

People Experience Partner

Mountain View, CA · Hybrid

$137K/yr

Analytical mindset with the ability to interpret survey data and sentiment analysis to identify trends and risks. * Ability to build trust quickly with managers and employees across all levels of the ...

Purple Drive Technologies

Data Scientist

Pleasanton, CA · On-site

Build and deploy NLP-based solutions for text analytics, sentiment analysis, and conversational AI. * Analyze large datasets to identify trends, patterns, and actionable insights. * Develop scalable ...

Pendulum Intelligence, Inc.

Solutions Engineer

Our platform leverages advanced ML for logo, product, and facial recognition, OCR, sentiment analysis, and narrative detection across text, images, audio, and video. You'll explain these capabilities ...

Hocking College

Call Center Analyst

Nelsonville, OH · On-site

$50K/yr

... sentiment analysis, and Agent Assist to provide actionable insights and coaching opportunities. * Identify call volume patterns, peak times, and seasonal trends to support workforce management and ...

Lorven Technologies

Kore.ai Developer

NLP, intents, entities, dialog design, sentiment analysis. * Experience with bot orchestration, event handling, webhooks, and bot lifecycle management. * Knowledge of JSON, XML, MySQL/NoSQL, and ...

Saxon Global

Data Scientist

Austin, TX

... Sentiment Analysis and OpenNLP - Min. of 3 years' of work experience with Big Data Analytics, and Data Mining and Machine Learning Ranjith Saxon Global Inc Direct: 972-573-3644 Desk: 972-363-1009 ...

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How much do sentiment analysis jobs pay per year?

As of Jun 16, 2026, the average yearly pay for sentiment analysis in the United States is $100,600.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,500.00 and $132,500.00 per year, depending on experience, location, and employer.

How much do body language experts get paid?

Body language experts, often working as communication consultants or trainers, typically earn between $40,000 and $80,000 annually, depending on experience, location, and client base. Salaries can vary widely, especially for those with specialized skills or certifications in nonverbal communication and behavioral analysis.

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.

Is 40 too late for data science?

Sentiment analysis is a common data science role that values skills and experience over age. Many professionals transition into data science later in their careers by learning programming languages like Python or R and gaining relevant certifications. Age should not be a barrier if you develop the necessary technical skills and build a strong portfolio.

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 social media, reviews, or customer feedback, helping organizations understand public perception and make data-driven decisions.

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 jobs will boom in 2026?

Jobs in data analysis, artificial intelligence, and machine learning, including roles like sentiment analysis specialists, are expected to grow significantly by 2026. These roles require skills in programming, statistical analysis, and familiarity with tools like Python and natural language processing techniques.
More about Sentiment Analysis jobs
What cities are hiring for Sentiment Analysis jobs? Cities with the most Sentiment Analysis job openings:
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Sentiment Analysis jobs near you
Infographic showing various Sentiment Analysis job openings in the United States as of June 2026, with employment types broken down into 7% Full Time, 80% Part Time, and 13% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $100,600 per year, or $48.4 per hour.
AI Business Performance & Insights, Senior Analyst

AI Business Performance & Insights, Senior Analyst

KeyBank

Brooklyn, OH • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

KeyBank rating

8.2

Company rating: 8.2 out of 10

Based on 89 frontline employees who took The Breakroom Quiz

38th of 141 rated banks

Job description

Location:
4910 Tiedeman Road, Brooklyn Ohio
ABOUT THE JOB (Job Brief)
The Performance & Insights Senior Analyst is responsible for measuring business performance and surfacing actionable quantitative and qualitative insights that inform leadership decisions, improve effectiveness, and drive better outcomes. This role goes beyond reporting-connecting performance data, employee sentiment, and feedback loops to assess progress against expectations and identify opportunities to improve impact, adoption, and results.
This individual serves as a thought partner to leaders, translating data into insight, insight into action, and action into measurable improvement. The role also plays a critical enablement function-reinforcing data standards and practices that ensure insights are scalable, governed, and ready to support automation and AI-driven capabilities.
Essential Job Functions
Business Performance Measurement
  • Define, govern and maintain performance frameworks that measure progress against strategic goals, commitments, and expected outcomes, ensuring consistency, comparability and credibility across business areas
  • Establish and manage KPIs, success metrics, and scorecards that reflect outcomes and effectiveness-not just activity
  • Assess performance trends, gaps, and risks, clearly articulating what is working, what is not, and why

Quantitative & Qualitative Insights
  • Synthesize quantitative data (metrics, dashboards, operational performance) with qualitative inputs (employee feedback, sentiment, observations) to deliver holistic insights
  • Identify leading and lagging indicators that predict performance outcomes and business impact
  • Translate complex data into clear, executive-ready narratives that inform decision making

Employee Sentiment & Feedback Loops
  • Design and manage feedback mechanisms (surveys, pulse checks, listening posts, qualitative interviews) to capture employee sentiment and experience
  • Analyze themes, patterns, and sentiment trends to understand engagement, friction points, and change readiness
  • Partner with leaders to close feedback loops-ensuring insights result in visible action and measurable improvement

Effectiveness & Outcomes Optimization
  • Evaluate the effectiveness of initiatives, operating models, and ways of working against intended outcomes
  • Identify opportunities to improve performance, adoption, efficiency, and value realization
  • Support experimentation and continuous improvement by defining success criteria and measuring impact over time

AI Data Enablement, Governance & Scale Readiness
  • Serve as a connector between AI enablement, analytics, data governance, and business teams to ensure AI insights are scalable, governed, and reusable
  • Support the transition from AI experimentation to production-ready, business-aligned capabilities by reinforcing standards, expectations, and performance implications
  • Encourage use of governed, standardized data assets to support AI models and automation-highlighting where unmanaged data limits scale or increases risk
  • Influence data and insight standards to ensure performance intelligence is production-ready, auditable and fit for AI-driven decision support.
  • Use performance and adoption insights to surface AI-related governance gaps, duplication, or unmanaged experimentation that create risk or inefficiency
  • This role does not own data platforms or approve access. It enables adoption, accountability, and scale by ensuring insights are built to last.

Strategic Partnership & Influence
  • Act as a trusted advisor to business and functional leaders, providing objective insight and data-driven recommendations
  • Influence prioritization and decision making by grounding discussions in evidence, outcomes, and trade-offs
  • Collaborate across teams (analytics, operations, change, communications) to align insights, performance narratives, and adoption strategies

What Success Looks Like
  • Leaders have clear, trusted visibility into performance and effectiveness
  • Decisions are grounded in both data and employee insight
  • Feedback loops are closed, and employee sentiment informs real change
  • Insights are timely, actionable, and built on governed, reusable data foundations
  • Business outcomes improve-and those improvements are measurable, scalable, and understood

Required Qualifications
Work Experience
  • 5 years of experience in business performance measurement, analytics, or insights-driven roles
  • Background in digital, product, operations, or strategy environments (preferred)
  • Experience with employee engagement, sentiment analysis, or organizational effectiveness (preferred)
  • Experience with change management, adoption measurement, or transformation initiatives (preferred)
  • Demonstrated ability to combine quantitative data with qualitative insight to inform decisions
  • Experience designing and interpreting KPIs, scorecards, and performance frameworks
  • Proven skill in translating data into clear, compelling insights for senior leaders
  • Experience using data visualization and analytics tools (e.g., dashboards, survey platforms, BI tools)

Skills
  • Insight-driven: Sees beyond metrics to understand root causes and implications
  • Outcome-oriented: Focused on impact, effectiveness, and value-not just measurement
  • Analytical & human-centered: Balances data rigor with employee experience and context
  • Executive communicator: Distills complexity into clear, decision-ready insights
  • Enablement-minded: Encourages standards and reuse without becoming a control function
  • Continuous improver: Constantly looking for better ways to measure, learn, and drive results
  • Comfort working in ambiguity and influencing without authority

  • Data Analysis & Insight Generation: Demonstrated ability to combine quantitative data with qualitative insight to inform decisions
  • KPI & Performance Framework Design: Experience designing and interpreting KPIs, scorecards, and performance frameworks
  • Executive Insight Storytelling: Proven skill in translating data into clear, compelling insights for senior leaders
  • Insight-Driven Thinking: Sees beyond metrics to understand root causes and implications
  • Outcome Orientation: Focused on impact, effectiveness, and value-not just measurement
  • Analytical & Human-Centered Approach: Balances data rigor with employee experience and context
  • Executive Communication: Distills complexity into clear, decision-ready insights
  • Enablement Mindset: Encourages standards and reuse without becoming a control function
  • Continuous Improvement: Constantly looking for better ways to measure, learn, and drive results
  • Ambiguity Navigation & Influence: Comfortable working in ambiguity and influencing without authority
  • Data Visualization & Analytics Tools: Experience using dashboards, survey platforms, and BI tools

COMPENSATION AND BENEFITS
This position is eligible to earn a base salary in the range of $71,000.00 - $125,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives.
Please click here for a list of benefits for which this position is eligible.
Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment.
Job Posting Expiration Date: 06/18/2026KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law.
Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_Compliance@keybank.com.
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About KeyBank

Sourced by ZipRecruiter

Key is one of the nation's largest bank-based financial services companies. Key provides deposit, lending, cash management, insurance, and investment services to individuals and businesses in 15 states under the name KeyBank National Association through a network of more than 1,200 branches and more than 1,500 ATMs. Key also provides a broad range of sophisticated corporate and investment banking products, such as merger and acquisition advice, public and private debt and equity, syndications, and derivatives to middle market companies in selected industries throughout the United States under the KeyBanc Capital Markets trade name.

Industry

Banking and credit intermediation

Company size

10,000+ Employees

Headquarters location

Cleveland, OH, US

Year founded

1849

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