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Deloitte

Graduate Analyst – Artificial Intelligence, Data

Deloitte

Join Deloitte's Artificial Intelligence & Data team as a graduate analyst. Apply emerging technologies to generate actionable insights and support project teams.

Posted 7/9/2026full-timeBangkok • 🇹🇭 ThailandEntry LevelWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data integration, analytical modeling, and emerging technologies to drive actionable insights and business outcomes. Proficient in programming languages and familiar with Big Data technologies, data governance, and BI/DW reporting solutions.

Highest-signal resume keywords
Python ProgrammingData IntegrationBig Data TechnologiesBusiness IntelligenceAnalytical Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PythonCJavaData GovernanceData QualityMDMMetadata ManagementArtificial IntelligenceMachine LearningSDLC
Soft Skills
Analytical SkillsCommunication SkillsSelf-MotivatedTeamworkClient Focused
Tools & Technologies
Microsoft SQLOracleSAPClouderaIBM WatsonDataRobotAutomation AnywhereAWSGCPMicrosoft Azure
Industry Keywords
Big DataBIDWData IngestionData TransformationAgile DevelopmentWaterfall DevelopmentLinuxShell ScriptingIntelligence Automation

Tech Stack

Tools & technologies
AWSAzureCloudGoogle Cloud PlatformHBaseInformaticaJavaKafkaLinuxMapReduceOraclePythonSDLCShell ScriptingSparkSQLUnix

About the role

Key responsibilities & impact
  • Support the project teams in applying emerging technologies to help our clients maximize the value of their data by generating actionable insights that provide real business outcomes.
  • Together with the consulting team, design and implement data structures to support Big Data, Analytical models and traditional BI/DW reporting solutions using technologies such as Microsoft SQL, Oracle, SAP, Cloudera, IBM Watsons, MuleSoft, Qlik Technologies or Informatica.
  • Provide support in designing and developing data integration using Data Governance, Data Quality, MDM and Metadata management.
  • Applying analytical models to predict business outcomes with tools such as DataRobot and languages like Python or R.
  • You will be part of a collaborative team that provides our clients with solutions that are practical as well as visionary and have an impact from the back office to the boardroom.
  • Support the project teams in recommending BI/DW/Analytics processes, governance, organisational and platform models, tool selections, and data integration options to clients.

Requirements

What you’ll need
  • Fresh graduates
  • In your final year of study or recent graduate between 0-2 years of work experience.
  • Strong academic degree / master in Computer Science, Data, Computer Engineering, Statistics, Mathematics, Engineering, or related disciplines.
  • Proficient in at least one programming language (Python, C, Java, etc.).
  • Good understanding in Artificial Intelligence and Machine Learning.
  • Understanding of SDLC Waterfall and Agile Development Methodologies is a plus.
  • Some knowledge of Intelligence Automation software e.g. Automation Anywhere, BluePrism, UiPath or WorkFusion or cloud platforms e.g. Amazon Web Services (AWS), Google Cloud Platform (GCP) or Microsoft Azure is a plus.
  • An interest in data ingestion and transformation pipelines using Big Data technologies, including one or more of the following: Spark, Hive, Pig, Kafka, MapReduce, HBase, Sqoop, Flume or Storm.
  • General knowledge of Linux/Unix based operating systems and Shell scripting would be an advantage.
  • Demonstrates interest for all the latest technologies, libraries & languages.
  • Strong analytical skills, excellent oral and written communication skills in English, self-motivated, and able to work in stressful situations with changing priorities.
  • Drive, tenacity, entrepreneurship, client focused and results oriented.
  • Proven demonstration of sound business acumen & teamwork, confidence in public speaking and presentation preparation is appreciated.

Benefits

Comp & perks
  • Strong commitment to personal learning and development
  • Collaborative work environment