Ai Support Analyst (Chatbot Support) Job at NTT DATA (Guadalajara)

Junior L1 Support Analyst (Chatbot Support)

We are looking for a Junior L1 Support Analyst to provide first-line support for...

Location

Mexico , Guadalajara

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Strong English communication skills (written and verbal)
Basic understanding of chatbots / conversational AI systems (training can be provided)
Ability to follow processes and work with ticketing systems
Strong analytical and problem-solving mindset
Ability to quickly learn new tools and technologies
Good attention to detail and organizational skills

Job Responsibility

Act as the first point of contact for chatbot-related queries and issues
Respond to basic user questions and provide accurate, timely resolutions
Monitor chatbot interactions and identify potential issues or gaps
Escalate complex or unresolved issues to L2 support following defined processes
Review and analyze previous tickets to identify patterns and apply existing solutions
Categorize issues correctly and ensure proper documentation in the ticketing system
Maintain high standards of customer service and communication
Continuously learn chatbot features, updates, and functionalities

Fulltime

Business Analyst - AI Chatbots

We are seeking a highly analytical Business Analyst to support the strategy, opt...

Location

United States , Philadelphia

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

5+ years of experience in business analysis, product analysis, or CX analytics, ideally supporting AI, chatbots, NLP, or digital support tools
Demonstrated ability to operate with high autonomy—sets direction within scope, anticipates what’s needed, and drives next best steps without waiting for explicit instruction
Demonstrated experience analyzing transcript data, customer journeys, behavioral data, and multi channel interactions
Strong ability to translate insights into requirements, user stories, and structured documentation
Familiarity with conversational AI platforms (Google Dialogflow, AWS Lex, etc.)
Experience supporting UAT, release validation, and iterative optimization cycles
Excellent communication skills and ability to work cross functionally with engineering, product, design, operations, and analytics partners

Job Responsibility

Define KPIs and success metrics for conversational AI features, establish a reporting cadence, and proactively translate results into clear next actions
Independently conduct deep dive analysis of transcripts, customer journeys, and cross channel behaviors
form hypotheses, validate root causes, and recommend high impact automation opportunities
Own ongoing intent performance monitoring to spot trends early, diagnose issues, and proactively drive prioritization of next best improvements (with clear rationale and expected impact)
Proactively surface gaps, risks, and decision points
bring options with a recommended path forward, align stakeholders, and drive decisions to closure
Lead cross functional synthesis across unassisted channels (chatbots, voice) to identify integration needs, propose solutions, and drive alignment on the path forward
Perform competitive and SWOT analysis to benchmark conversational AI experiences, identify strategic gaps, and recommend where to invest or change course
Develop and socialize data driven roadmap recommendations—sizing opportunities, clarifying tradeoffs, and proposing a prioritized sequence of work tied to business goals
Translate insights into clear requirements, user stories, and acceptance criteria—anticipating questions, driving clarity on business rules, and unblocking delivery teams

What we offer

medical
vision
dental
life and disability insurance
401(k) plan

Fulltime

Senior Support Operations Analyst

As a Senior Support Operations Analyst, you'll be the technical architect behind...

Location

United States

Salary:

111220.00 - 133422.00 USD / Year

Babylist

Expiration Date

Until further notice

Requirements

7+ years in Customer Support Operations, Business Intelligence/Analytics, or similar roles in high-growth, customer-facing environments
Strong analytical skills and operational instincts, with a track record of designing scalable processes that improve agent performance and user experience
Advanced SQL proficiency with experience writing complex queries, joins, and building data models for customer support analytics
3+ years hands-on experience with Zendesk (or Salesforce Service Cloud), including building automation, workflows, triggers, and API integrations
Proven track record implementing and optimizing AI chatbot platforms such as Sierra, Decagon, Forethought, Ada, or similar enterprise solutions
Expert-level proficiency building dashboards and reports in Sigma, Tableau, or PowerBI—able to work independently with minimal technical support
Experience integrating data across multiple systems and working with APIs
Experienced in building and maintaining reporting and performance analysis, including CSAT, cost per contact, and ROI-focused metrics
Proven ability to lead end-to-end change management for major tool rollouts and workflow changes, including stakeholder communication, training development, adoption tracking, and post-launch support
Familiar with AI support technologies and their practical integration into support systems (chatbots, knowledge base platforms)

Job Responsibility

Ensure high accuracy visibility into support performance through scalable tools (like dashboards) and internal reporting systems
Identify and work with our tech team to drive system improvements across the CS Tech stack (Zendesk, chatbots, phones platform)
Work cross-functionally with engineering, product, supply chain, and offshore support teams to identify root causes of user frustration and implement solutions
Partner with CS leadership to identify trends and key issues within our reporting frameworks and take active role in resolution
Support regular reporting cadences (weekly, monthly, quarterly), with summaries that guide cross-functional decisions
Surface actionable insights from data to support empathetic, user-centered decision-making and analyze trends across channels and issue types, supporting data-driven improvements to the support model
Drive adoption of AI-enabled workflows that reduce handle time and enhance support quality
Own and evolve self-service content, tools, and AI integrations such as Copilots and knowledge bases
Maintain ownership of CS-tools and vendor relationships, ensuring we operate on a modern, AI-enabled stack that supports scale, agent effectiveness, and automation—while optimizing for quality, usability, and value
Identify inefficiencies and recommend solutions that improve agent effectiveness and reduce user friction

What we offer

Competitive salary with equity and bonus opportunities
Company-paid medical, dental, and vision insurance
Retirement savings plan with company matching and flexible spending accounts
Generous paid parental leave and PTO
Remote work stipend to set up your office
Perks for physical, mental, and emotional health, parenting, childcare, and financial planning

Fulltime

AI & Automation Analyst

We are seeking an AI & Automation Analyst to join our Product Operations team. T...

Location

Spain , Madrid

Salary:

Not provided

Fever

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Engineering, Business, Information Systems, Data Analytics, Computer Science, or a related field
2+ years of experience in business analysis, workflow optimization, process improvement, automation, or related roles
Proven experience leading end-to-end automation initiatives, from opportunity identification through design, implementation, and optimization
Strong experience working with automation platforms and tools, including workflow orchestration, Robotic Process Automation (RPA), or low-code/no-code solutions
Demonstrated ability to apply AI-enabled solutions (e.g., generative AI, intelligent automation, machine learning-assisted workflows) to real business problem
Experience partnering with senior stakeholders to define requirements, prioritize initiatives, and drive adoption
Strong analytical, problem-solving, and decision-making skills with minimal supervision
Fluent in Spanish and English

Job Responsibility

Analyze existing operational workflows to identify inefficiencies, manual effort, and automation opportunities
Partner with business stakeholders to gather requirements and understand end-to-end processes
Design, build, test, and maintain automated workflows using automation platforms, scripts, and AI-enabled tools
Apply AI capabilities (e.g. generative AI, machine learning models, intelligent document processing, chatbots) to enhance decision-making and process performance
Develop process documentation, flow diagrams, and automation specifications
Monitor automation performance, troubleshoot issues, and implement continuous improvements
Support change management by providing training, documentation, and user support for automated solutions
Track and report on automation impact, including efficiency gains, cost savings, and quality improvements

What we offer

Attractive compensation package consisting of base salary and the potential to earn a significant bonus for top performance
Opportunity to have a real impact in a high-growth global category leader
40% discount on all Fever events and experiences
Work in a location in the heart of Madrid, with possible travel across our markets
Home-office friendly
Responsibility from day one and professional and personal growth
Great work environment with a young, international team of talented people to work with!
Health insurance and other benefits such as Flexible remuneration with a 100% tax exemption through Cobee
English and Spanish Lessons
Gympass membership

Fulltime

New

Senior Data Scientist - GenAI & ML

CRU Group is seeking a technically strong, hands-on Senior Data Scientist to joi...

Location

United Kingdom , London

Salary:

Not provided

CRU International

Expiration Date

Until further notice

Requirements

MSc or higher in a quantitative discipline such as econometrics, statistics, mathematics, physics, or similar
Expert-level Python skills and strong command of the core scientific stack, including Pandas, Scikit-learn, SciPy, and NumPy
3–5+ years of experience in data science, machine learning, econometrics, or a related technical field
Proven track record of independently delivering solutions, including model design, training, evaluation, deployment, and monitoring
Strong exposure to time-series forecasting or commodity data
Creative thinker with a robust approach to data and modelling
Hands-on experience working with machine learning and LLMs
Hands-on experience building AI applications beyond simple chatbot interfaces
Goal-oriented, with a high level of energy and enthusiasm
able to operate efficiently, effectively, and professionally in a fast-paced, dynamic, results-driven business environment

Job Responsibility

Build and deliver solutions across predictive analytics, machine learning, and LLM-based AI
Design, develop, and implement bespoke ML and AI agents and multi-step workflows using modern frameworks such as LangChain, LangGraph, or similar technologies
Develop robust, scalable, production-grade Python code
Partner with senior stakeholders to translate business needs into clear technical requirements and measurable outcomes
Own delivery end-to-end, including problem framing, data discovery, model development, evaluation, integration, deployment, monitoring, and iteration
Collaborate with global teams of analysts, product managers, product modellers, and engineers to deliver high-quality, reliable solutions
Mentor team members and contribute to raising standards for technical execution and delivery discipline
Stay current with developments in machine learning, statistical learning, generative AI, LLMs, and agentic workflows, and identify practical opportunities to apply these technologies within risk and trading services

What we offer

Competitive salary and flexible benefits package
Opportunities for professional growth and development as part of a global company
A collaborative and supportive work environment
The chance to work with industry-leading experts and over a diverse range of topics and projects

Fulltime

Automation Analyst – English & Japanese Bilingual (UiPath)

Make an impact with NTT DATA Join a company that is pushing the boundaries of wh...

Location

Malaysia , Cyberjaya

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Strong 4–6 years of working experience in RPA development using UiPath
Strong English and Japanese proficiency (JLPT N1/N2 or equivalent in reading, writing, speaking)
Experience in full automation lifecycle delivery, production support and bot maintenance
Proficient in programming/scripting languages such as C#, VB.NET, Python, Java, JavaScript
Advanced proficiency in UiPath products
UiPath Studio, UiPath Orchestrator (deployment, scheduling, monitoring, queue-based transaction processing), REFramework (Robotic Enterprise Framework) & automation design
Demonstrated experience in developing end-to-end automation solutions leveraging APIs (REST/SOAP), SQL databases, Excel and email platforms, and robust web automation with optimized selectors
Understanding of SDLC and Agile methodologies

Job Responsibility

Engage with business stakeholders for requirement analysis & gathering, identify automation opportunities
Design scalable, reusable, and secure RPA solutions using UiPath
Prepare process documents like Solution Design Documents (SDD) and Process Definition Documents (PDD)
Develop, test, and deploy RPA bots using UiPath
Monitor bot performance, track KPIs (bot utilization, success rates, and business impact), and improve automations
Participate in reviews and contribute to the development of best practices
Support AI-driven automation (e.g., document processing, chatbots)

Fulltime

Analytics Engineer

We are seeking an experienced and versatile Analytics Engineer to join our dynam...

Location

Canada

Salary:

81990.00 - 91100.00 CAD / Year

Tucows

Expiration Date

Until further notice

Requirements

2+ years of experience in data analytics or a related field, with significant exposure to AI and Machine Learning applications in analytics
Advanced SQL skills with experience in writing and optimizing complex queries on large-scale datasets
Hands-on experience with dbt (Data Build Tool) and its features for building, testing, and documenting data models
Expert-level knowledge of data modeling and data warehouse concepts (e.g., star schema, normalization, slowly changing dimensions)
Experience with Snowflake's Data Cloud platform and familiarity with its advanced AI capabilities (Snowflake Intelligence – Cortex Analyst, Cortex Agents, Cortex Search, AISQL, etc.) is highly preferred
Strong skills in Looker data visualization and LookML (including familiarity with Looker's conversational AI and data agent capabilities) or similar BI tools
Experience with AI agents or generative AI tools to optimize workflows and service delivery (such as creating chatbots or automated analytic assistants) is a plus
Experience with real-time data processing and streaming technologies (e.g., Kafka, Kinesis, Spark Streaming) for handling continuous data flows
Proficient in Python for data analysis and manipulation (pandas, NumPy, etc.), with the ability to write clean, efficient code. Experienced with shell scripting and command-line tools for automating workflows and data processing tasks
Familiarity with ETL processes and workflow orchestration tools like Apache Airflow (or similar scheduling tools) for automating data pipelines alongside Docker for local development and testing

Job Responsibility

Design, develop, and maintain complex data models in our Snowflake data warehouse. Utilize dbt (Data Build Tool) to create efficient data pipelines and transformations for our data platform
Leverage Snowflake Intelligence features (e.g., Cortex Analyst, Cortex Agents, Cortex Search, AISQL) to implement conversational data queries and AI-driven insights directly within our data environment. Develop AI solutions that harness these capabilities to extract valuable business insights
Design and build advanced SQL queries to retrieve and manipulate complex data sets. Dive deep into large datasets to uncover patterns, trends, and opportunities that inform strategic decision-making
Develop, maintain, and optimize Looker dashboards and LookML to effectively communicate data insights. Leverage Looker's conversational analytics and data agent features to enable stakeholders to interact with data using natural language queries
Communicate effectively with stakeholders to understand business requirements and deliver data-driven solutions. Identify opportunities for implementing AI/ML/NLP technologies in collaboration with product, engineering, and business teams
Write efficient Python code for data analysis, data processing, and automation of recurring tasks. Skilled in shell scripting and command-line tools to support data workflows and system tasks. Ensure code is well-tested and integrated into automated workflows (e.g., via Airflow job scheduling)
Create compelling visualizations and presentations to deliver analytical insights and actionable recommendations to senior management and cross-functional teams. Tailor communication of complex analyses to diverse audiences
Stay up-to-date with industry trends, emerging tools, and best practices in data engineering and analytics (with a focus on dbt features, Snowflake's latest offerings and BI innovations). Develop and implement innovative ideas to continuously improve our analytics stack and practices

What we offer

fair compensation
generous benefits

Fulltime

Technical Product Owner

Our mission is to dominate the betting and gaming industry on a global scale and...

Location

United Kingdom , Manchester

Salary:

45000.00 - 65000.00 GBP / Year

360 Resourcing Solutions

Expiration Date

Until further notice

Requirements

Proven experience as a Product Owner, content specialist, or knowledge manager, or a combination, with a hands-on track record of creating, structuring, and improving content as well as managing your own delivery priorities
A practical understanding of how content structure affects performance across different surfaces, including how generative AI retrieves and uses content, how articles rank in search, and how external and internal audiences consume how-to guidance
A basic understanding of software development processes, including agile methodologies
The ability to write user stories, acceptance criteria, and technical requirements, as well as clear, well-structured content for a range of audiences and formats
Demonstrable experience using performance data such as web analytics, chatbot reporting, search data, or contact centre MI to identify content gaps, prioritise work, and measure impact
A familiarity with technical concepts such as APIs, data structures, and system integrations
Excellent organisational and prioritisation skills
Strong problem-solving skills and comfort operating in ambiguity
Excellent communication skills
Experience owning or contributing to a help portal, FAQ platform, or virtual assistant

Job Responsibility

Act as the product representative for the knowledgebase, ensuring alignment between its content, platform, and broader business objectives across Customer Support, Marketing, and Operations
Own and prioritise your own content backlog
Proactively engage Subject Matter Experts (SMEs) across the business to extract accurate knowledge, and personally write, format, and publish content
Own the performance data by undertaking regular reviews of chatbot deflection rates, FAQ engagement, search rankings, and website behaviour
Collaborate closely with Conversational AI Analysts and engineers to ensure content is structured correctly
Participate actively in sprint planning, stand-ups, and retrospectives
Establish and maintain a content governance framework
Act as the primary point of contact for stakeholders regarding knowledgebase content
Drive a culture of continuous improvement within the team

What we offer

Competitive rate of pay and pension contribution (£45,000-£65,000)
Generous discretionary bonus schemes, incentives and competitions
Annual leave entitlement that increases with length of service
Access to an online GP 24/7
Employee wellbeing support through Employee Assistance Programme
Enhanced Maternity & Paternity Pay
Long Service Recognition
Access to a pay day savings scheme, financial coach and up to 40% of your earned wage ahead of payday through Wagestream

Fulltime

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Ai Support Analyst (Chatbot Support)

Job Description

Job Responsibility

Requirements

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