Ai Data Analyst Job at Robert Half (Hartland)

Senior Business Analyst – Data & AI

We are seeking a Senior Business Analyst to support Data & AI initiatives. This ...

Location

Hong Kong , Hong Kong Island

Salary:

Not provided

Oliver James

Expiration Date

Until further notice

Requirements

5+ years of experience as a Business Analyst, preferably in digital, data, or transformation and AI programs
Strong skills in requirements gathering, stakeholder management, and documentation
Demonstrated experience delivering operating model design or transformation initiatives
Experience working in Agile / Scrum or hybrid delivery environments
Ability to work across both business and technical teams

Job Responsibility

Partner with business stakeholders to elicit, analyze, and document requirements for Data & AI use cases (e.g., analytics dashboards, machine learning models, AI and automation solutions)
Translate business needs into functional and non-functional requirements, user stories, and acceptance criteria
Support the design and validation of data models, KPIs, and reporting frameworks
Coordinate delivery activities in collaboration with the Project Manager, including: Tracking progress and dependencies
Managing risks, issues, and escalations
Facilitating sprint ceremonies or workshops where required
Conduct UAT planning, execution, and sign-off coordination
Ensure proper documentation of requirements, processes, and solutions
Drive stakeholder engagement and communication across regional teams
Identify opportunities to improve processes using data and AI-driven insights

Fulltime

Business Analyst - Data & AI

As a BUSINESS ANALYST, you are passionate about experience innovation and eager ...

Location

India , Bengaluru

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

7+ years of hands-on Business Analysis experience, with at least 4 years focused on data and analytics projects
Proven track record of delivering on large-scale enterprise data transformation programmes (migrations, platform modernisation, data lake/warehouse implementations)
Deep understanding of and practical experience working within SAFe (Scaled Agile Framework) delivery models
Strong ability to write structured, unambiguous requirements documentation including user stories, acceptance criteria, BRDs, and data mapping specifications
Proficiency in SQL for data exploration, validation, and requirements verification
Experience working closely with data engineering and architecture teams — able to speak the language of both business and tech
Excellent communication, facilitation, and stakeholder management skills across business and technical audiences

Job Responsibility

Lead end-to-end business analysis for large enterprise data transformation and migration programmes
Elicit, document, and validate business, functional, and non-functional requirements across data domains including data warehousing, reporting, MDM, and analytics platforms
Translate complex business problems into well-structured user stories, use cases, process flows, and data mapping documents
Conduct gap analysis between current-state and future-state data landscapes and develop actionable roadmaps
Partner closely with data engineers, architects, product owners, and senior business stakeholders to align on priorities and outcomes
Facilitate requirements workshops, sprint ceremonies, and stakeholder reviews as part of SAFe Agile delivery
Own and maintain the product backlog, ensuring stories are refined, estimated, and prioritised for sprint planning
Track and communicate progress, risks, and dependencies to programme leadership
Define data quality rules, acceptance criteria, and data validation frameworks for transformed datasets
Work with data stewards and governance teams to ensure compliance with data policies and regulatory requirements

What we offer

Flexibility, with remote and hybrid work options (country-dependent)
Career advancement, with international mobility and professional development programs
Learning and development, with access to cutting-edge tools, training and industry experts

Fulltime

Tech Analyst, Data & AI

Being part of Air Canada is to become part of an iconic Canadian symbol, recentl...

Location

Canada , Dorval

Salary:

Not provided

Air Canada

Expiration Date

Until further notice

Requirements

3-5 years of experience leading enterprise data warehouse development teams
Proven success in Agile environments and cloud-based data platforms, especially Azure and Snowflake
Expertise in building robust, scalable data pipelines for batch and streaming data
Proficiency in SQL, Python, stored procedures, and scheduling tools
Hands-on experience with ETL/ELT tools such as Azure Data Factory (ADF), Databricks, Snowflake, DBT and Talend
Skilled in implementing monitoring and alerting mechanisms for data pipelines
Strong capability in reviewing engineering deliverables for performance, scalability, and maintainability
Experience with prompt engineering and leveraging Generative AI (GenAI) to accelerate development and automate engineering workflows
Bachelor’s degree in Engineering, Computer Science, Mathematics, or a related field
Excellent communication, problem-solving, and analytical skills

Job Responsibility

Design & Implementation: Manage implementation of solutions for exploratory data analysis and conducts implementation assessments based on Architecture Overview Documents (AOD) and Detailed Data Solutions
Provide accurate effort estimations and assess feasibility of proposed architectures and data models
Design, undertake and analyze data to determine patterns and insights that can optimize data ingestion and data presentation
Pipeline Design & Development: Design and develop cost-effective, scalable ELT pipelines using reusable components and frameworks
Support the delivery of AI and data projects by designing and implementing streaming and/or batch pipelines
Design and document pipeline implementation strategies including, scheduling of jobs and workflows, dependencies, error handling, monitoring and alerting and unit testing
Monitor and resolve alerts/failures in prod/non-prod environments to ensure operational reliability
Participate in peer reviews and oversee the review and approval of code and pipelines
Environment Setup & Collaboration: Set up non-production and production environments including MFT flows, RBAC, cloud services, Git repositories, and defining appropriate branching strategies
Design, test, and maintain scalable data architectures, including databases and distributed processing systems

Product Analyst - Data Insights & AI

We are looking for a Product Analyst to join our Analytics Products Engineering ...

Location

Egypt , Cairo

Salary:

Not provided

Coca-Cola HBC

Expiration Date

Until further notice

Requirements

Bachelor's degree in Information Technology, Computer Science, or related field
3–5 years of experience in a Product Analyst, Business Analyst, or similar role within digital or data-driven environments
Strong grasp of Agile / SAFe and experience working in cross-functional product teams
Can translate designs and business needs into clear, structured, and testable product specifications
Communicate effectively and manage stakeholders with confidence
Confident in working closely with Product Managers, Designers, Data Scientists, and Engineers
Think analytically, enjoy solving problems, and pay strong attention to detail
Comfortable with ambiguity and can adapt quickly in fast-paced, AI-driven environments
Tech-savvy, curious, and proactive in exploring new tools and approaches
Familiar with Python, SQL, and general data concepts

Job Responsibility

Translate design inputs, user journeys, and business needs into clear functional specifications and structured requirements
Support the Product Manager in shaping features, user stories, and acceptance criteria
Ensure requirements are complete, consistent, and aligned with product objectives
Act as the bridge between design intent and technical implementation
Work closely with Data Science teams to define expected outputs, assumptions, and interpretation logic
Validate analytical and AI outputs against business expectations and use cases
Monitor product usage and operations, identifying improvement opportunities
Shape solution designs together with the Product Manager, Architect, and engineering teams
Define and maintain high-quality backlog items (Epics, Features, User Stories) and support sprint planning
Participate in estimation sessions and contribute to effort sizing with engineering and DevOps teams

Fulltime

Data Analyst — AI-Driven Insights

We are looking for a Data Analyst who doesn't just answer questions — they can't...

Location

United States

Salary:

Not provided

David's Bridal

Expiration Date

Until further notice

Requirements

3–6 years in a data analyst or analytics engineer role
Advanced SQL — complex joins, window functions, CTEs
Strong Python — pandas, numpy, visualization
Demonstrated use of AI/LLM tools to accelerate analysis, automate reporting, or build smarter workflows
A track record of finding insights that weren't in the original brief
Strong written communication
Statistical fundamentals — hypothesis testing, regression, cohort analysis, knowing when correlation isn't causation

Job Responsibility

Dig into data with genuine curiosity — follow threads, challenge assumptions, and don't stop at the surface-level answer
Design and execute investigations that surface non-obvious insights, not just metric summaries
Build and maintain SQL queries, Python scripts, and data models to support recurring and ad-hoc analysis
Own key performance dashboards and proactively flag when something looks interesting — or wrong
Use LLM APIs (e.g., Claude, GPT) to automate insight generation, narrative writing, and anomaly detection
Build natural language interfaces that allow non-technical stakeholders to query data without SQL
Design and maintain AI-powered reporting pipelines that deliver weekly/monthly commentary automatically
Develop and test prompts for structured data extraction, classification, and summarization tasks
Turn complex findings into clear, compelling narratives
Come to meetings with a point of view, not just a chart

What we offer

Competitive salary commensurate with experience
Flexible hybrid work arrangement — 2–3 days in office per week
A culture that values curiosity
Access to cutting-edge AI tools and a team that actively encourages experimentation
Dedicated budget for courses, conferences, and certifications
Direct exposure to senior leadership and real ownership over insights that drive strategy
Opportunity to shape the AI analytics approach of a growing organization
Full Time Opportunity – A comprehensive benefits package is available
Rewarding Environment and Competitive Pay
Generous Dream Maker Discount After First Pay Period

Fulltime

Tech Analyst, Data and AI

Being part of Air Canada is to become part of an iconic Canadian symbol, recentl...

Location

Canada , Dorval

Salary:

Not provided

Air Canada

Expiration Date

Until further notice

Requirements

3-5 years of experience leading enterprise data warehouse development teams
Proven success in Agile environments and cloud-based data platforms, especially Azure and Snowflake
Expertise in building robust, scalable data pipelines for batch and streaming data
Proficiency in SQL, Python, stored procedures, and scheduling tools
Hands-on experience with ETL/ELT tools such as Azure Data Factory (ADF), Databricks, Snowflake, DBT and Talend
Skilled in implementing monitoring and alerting mechanisms for data pipelines
Strong capability in reviewing engineering deliverables for performance, scalability, and maintainability
Experience with prompt engineering and leveraging Generative AI (GenAI) to accelerate development and automate engineering workflows
Bachelor's degree in Engineering, Computer Science, Mathematics, or a related field
Excellent communication, problem-solving, and analytical skills

Job Responsibility

Manage implementation of solutions for exploratory data analysis and conducts implementation assessments based on Architecture Overview Documents (AOD) and Detailed Data Solutions
Provide accurate effort estimations and assess feasibility of proposed architectures and data models
Design and develop cost-effective, scalable ELT pipelines using reusable components and frameworks
Document pipeline implementation approach including scheduling, dependencies, error handling, monitoring, and alerting
Monitor and resolve alerts/failures in prod/non-prod environments
Review and approve pipelines developed by data engineers
Set up non-production and production environments including MFT flows, database/schema configurations, RBAC, cloud services, Git repositories, and defining appropriate branching strategies
Collaborate with stakeholders on UAT and production release strategies
Mentor and guide data engineers on best practices, business logic implementation, and quality assurance
Scramble and generate mock data for testing purposes

Fulltime

Data and AI Analyst

As a Data Analyst, you will play a critical role in driving informed decision-ma...

Location

Ireland , Dublin

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Minimum of 8+ years of experience in data engineering or a similar role
Strong Python skills for data analysis and software development, with familiarity in libraries/frameworks such as PyTorch or TensorFlow
Hands-on experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector databases, and prompt engineering
Understanding of classical ML algorithms, data preprocessing techniques, and model evaluation methods
Experience with agentic and orchestration frameworks such as LangChain, AutoGen, or CrewAI
Experience deploying data/ML solutions on cloud platforms (AWS, Azure, GCP) and working with MLOps tools such as Docker

Job Responsibility

Lead data migration activities and analysis
Work with Data scientists/Business Analysts/Product Owner to understand MI and dashboard requirements
Design Data Solutions: Leverage your analytical skills to design innovative data solutions that address complex business requirements and drive decision-making
Create detailed field level mappings as needed for different MI Dashboards
Develop and maintain comprehensive dashboards to visualize key performance indicators
Conduct market research and trend analysis to inform strategic business decisions
Collaborate with cross-functional teams to ensure data accuracy and integrity
Identify and recommend process improvements based on data analysis findings
Prepare detailed reports and presentations on analytical findings for stakeholders
Stay updated on industry trends, data analysis techniques, and best practices

Senior Data Profiling Analyst (SQL, Data Governance & Analytics)

We are seeking a highly analytical and detail-oriented Senior Data Profiling Ana...

Location

United States , Austin

Salary:

Not provided

Dutech Systems

Expiration Date

Until further notice

Requirements

8+ years of experience in Data Analysis, Business Analysis, Systems Analysis, Data Governance, or Data Liaison roles
8+ years of experience gathering business requirements and translating complex data needs into actionable analytical solutions
8+ years of experience working with complex enterprise datasets and analytics projects
Strong SQL expertise for data extraction, transformation, profiling, analysis, and validation
Experience performing data profiling, data discovery, and data quality assessments
Experience documenting and validating business data lineage and data relationships
Strong communication skills with the ability to present technical information to business users and executive stakeholders
Excellent analytical, problem-solving, presentation, and interpersonal skills
Experience collaborating with cross-functional teams and stakeholders across business and technology organizations

Job Responsibility

Gather and analyze business requirements and translate complex data acquisition and operational requirements into actionable data profiling and analytics solutions
Perform data discovery, profiling, validation, and quality assessments across multiple enterprise data sources
Utilize SQL to extract, manipulate, enrich, and analyze large datasets to support business and analytics initiatives
Collaborate with business users, performance analysts, data engineers, and IT leadership to identify and document data relationships, dependencies, and lineage
Analyze data quality issues and recommend corrective actions to improve data accuracy, consistency, and reliability
Document data definitions, business rules, metadata, and data lineage artifacts to support enterprise data governance initiatives
Serve as a liaison between business stakeholders and technical teams to ensure data requirements are clearly understood and implemented
Explain technical findings, data limitations, and analysis results in clear, concise language for non-technical audiences and executive leadership
Support analytics development efforts by validating data sources and ensuring data readiness for reporting and business intelligence solutions
Participate in data governance activities and contribute to the development of data quality standards and best practices

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