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Bot Analyst Jobs (NOW HIRING)

Apex Informatics

Data Analyst II

Chat bot that is live in 2 languages - customer facing Review the performance on a heavy basis ... Able to create and analysis to identify and report and feed into the product road map for ...

Symbotic

New Grad - Robotics Systems Analyst

Leading bot system performance analysis in support of improving Bot system rate. * Identifying and documenting bot system defects to ensure improvement actions. * Communicating and collaborating with ...

The Bot Company

Mechanical

San Francisco, CA · On-site

$200K - $350K/yr

The Bot Company We're building a helpful robot for every home. We're a small team of engineers ... Drive DFM, tolerance analysis, material selection, and vendor coordination for volume manufacturing.

Pixi Beauty

AI Analyst

Los Angeles, CA · On-site

Bot Development - Build and deploy bots (in customer service, influencer management, operations ... Analytics & Reporting - Create quick dashboards (SQL, Sheets, Looker Studio) to monitor bot ...

Pandoblox

Channel Partner Manager

Davis Junction, IL · On-site +1

$75 - $125/hr

Pre-meeting: confirm the HR Bot analysis is in the partner's hand and that they've sent it to the C-suite contact. * Discovery (Open with insight): join the partner on the call to review findings and ...

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How much do bot analyst jobs pay per year?

As of Jun 5, 2026, the average yearly pay for bot analyst in the United States is $97,659.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,000.00 and $111,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Bot Analyst, and why are they important?

To thrive as a Bot Analyst, you need strong analytical skills, experience with data analysis, and a background in computer science or information technology. Familiarity with tools like SQL, Python, bot detection platforms, and cybersecurity certifications such as CEH or CompTIA Security+ is typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills that set successful Bot Analysts apart. These skills are vital for accurately identifying malicious bots, mitigating threats, and communicating findings to technical and non-technical stakeholders.

What are some common challenges Bot Analysts face when monitoring automated systems, and how can these be addressed?

Bot Analysts often encounter challenges such as identifying sophisticated bot behaviors that mimic human activity or managing a high volume of data from various sources. Staying current with evolving bot tactics and leveraging advanced analytical tools are essential to effectively detect and mitigate threats. Collaboration with cybersecurity teams and continuous learning are key practices to overcome these issues and maintain robust bot management strategies.

What are Bot Analysts?

Bot Analysts are professionals who monitor, analyze, and manage automated bot activity within digital systems, such as websites or applications. They identify malicious bots, such as those used for fraud or cyberattacks, as well as legitimate automated processes. Their role often involves using specialized tools to detect suspicious patterns, investigate bot-related incidents, and help implement strategies to protect against harmful automation. Bot Analysts also collaborate with cybersecurity teams to improve defenses and ensure optimal system performance. They play a crucial role in maintaining the integrity and security of online platforms.

What is the difference between Bot Analyst vs Data Analyst?

AspectBot AnalystData Analyst
Required CredentialsTypically certifications in cybersecurity, automation, or related fieldsOften requires degrees or certifications in data analysis, statistics, or business intelligence
Work EnvironmentTech companies, cybersecurity firms, or automation teamsBusiness, finance, marketing, or healthcare sectors
Employer & Industry UsageUsed in industries focusing on automation, security, and bot managementCommon across industries analyzing data for insights and decision-making

While both roles involve technical skills, a Bot Analyst focuses on managing and analyzing automated bots and cybersecurity threats, whereas a Data Analyst interprets data to support business decisions. Understanding these differences helps professionals choose the right career path or role based on their skills and interests.

Chat Analyst and Representative

Octanner

Salt Lake City, UT • Remote

Full-time

Posted 3 days ago

Job description

O.C. Tanner is the global leader in software and services that improve workplace culture through meaningful employee experiences. Our Culture Cloud is a suite of apps designed to enhance the employee experience with strategic recognition, service awards, wellbeing, leadership, and events that help people thrive at work. Our Culture by Design approach provides expert services to organizations looking to create great workplaces.

Our global team of 1,500 people hail from 58 countries and speak 62 languages. As programmers, researchers, designers, client professionals and craftspeople we create the tech, tools and awards that connect employees to purpose at thousands of companies. Join us as we help people all over the world thrive at work.

The Chat Representative / Bot Designer supports customers through live chat while also helping design, maintain, and continuously improve automated chat experiences (chatbots, macros, decision trees, and knowledge-base flows). This role blends customer empathy, fast written communication, and structured problem-solving with content design and basic conversational UX to reduce contact volume, improve resolution rates, and elevate the end-to-end customer experience.

Key Responsibilities

  • Handle inbound customer conversations via live chat, providing accurate, professional, and empathetic written support.

  • Triage issues, gather required details, and resolve cases using tools, policies, and knowledge articles; escalate appropriately with clear documentation.

  • Design and refinebotconversation flows (intents, utterances, prompts, fallbacks, and handoff-to-agent logic) based on customer needs and business rules.

  • Create and maintain chat macros, templates, and knowledge-base articles to standardize responses and reduce time to resolution.

  • Analyze chat transcripts to identify friction points, missing content, repetitive contacts, and automation opportunities.

  • Partner with product, engineering, support operations, and external partners to keepbotcontent aligned with releases, policy changes, and known issues.

  • Monitor key performance indicators (e.g., containment rate, deflection, CSAT, first contact resolution) and run iterative improvements (A/B tests where available).

  • Ensure compliance with privacy, security, and brand voice guidelines in all human and bot interactions.

Required Qualifications

  • 1-3+ years in customer support, customer experience, or contact center operations with significant live chat experience.

  • Exceptional written communication skills (grammar, clarity, tone control) and ability to tailor responses to different audiences.

  • Demonstrated ability to follow processes, troubleshoot systematically, and document customer interactions clearly.

  • Comfort working with support tools (CRM/ticketing, chat console, knowledge base) and learning new systems quickly.

  • Basic understanding of chatbot concepts (intents, entities, prompts, conversation flows, escalation/handoff).

  • Strong analytical skills: ability to review transcripts/data and translate insights into content and flow updates.

  • Ability to manage multiple conversations simultaneously while maintaining quality and accuracy.

Preferred Qualifications

  • Experience building or maintaining bots in platforms such as Microsoft Copilot Studio/Power Virtual Agents, Dialogflow, Amazon Lex, Intercom, Zendesk, Drift, Ada, or similar.

  • Knowledge management experience (article writing, taxonomy, search optimization) and/or content design experience.

  • Familiarity with conversational design practices (user goals, error recovery, confirmation, disambiguation, accessibility).

  • Experience collaborating with product/engineering teams and translating product changes into customer-facing guidance.

  • Basic reporting skills (Excel/Sheets) and familiarity with analytics dashboards.

  • Experience supporting a regulated or privacy-sensitive environment (e.g., healthcare, finance) and handling PII appropriately.

Success Metrics (Examples)

  • Live chat: CSAT, quality audit scores, first contact resolution, average handle time (where applicable), and adherence.

  • Bot: containment/deflection rate, successful handoff rate, fallback rate reduction, and improved self-service completion.

  • Content: knowledge article accuracy, reduced repeat contacts on top drivers, faster onboarding for new agents.

  • Operational: timely updates to bot flows/macros after product or policy changes; clear cross-team communication.

Key Stakeholders

  • Customer Support Leadership & Support Operations

  • Product Management

  • Engineering / Bot Platform Owners

  • Knowledge Management / Content Team

  • Compliance / Security (as applicable)

Work Schedule & Expectations

Hours:[e.g., Mon-Fri, 8am-5pm MT] with [rotating weekends/on-call] as needed.
Coverage:Ability to support peak chat hours and handle simultaneous chats while meeting quality standards.
Training:Expected completion of onboarding, product training, and bot platform training within the first [X] weeks.

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