Junior Data Analyst (AI & Data Platform)

We are seeking a Junior Data Analyst to join our growing Data team, supporting both traditional analytics and emerging AI-driven initiatives. This role is ideal for an early-career professional who is passionate about working with data and eager to build foundational experience in modern data architectures and AI-enabling frameworks, including data mesh and knowledge graph concepts.You will help transform raw data into actionable insights, contribute to scalable data models, and support use cases that power analytics, automation, and AI solutions across the organization.What you'll do:Data Analysis & Insights:Analyze datasets to identify trends, patterns, and actionable insightsSupport business stakeholders with ad hoc analysis and reportingTranslate business questions into structured data queriesDashboarding & Reporting:Build and maintain dashboards using tools such as Tableau, Power BI, or similarEnsure clarity, usability, and accuracy of visualizationsData Preparation & Modeling Support:Write and optimize SQL queries to extract and transform dataAssist in developing curated datasets for analytics and AI use casesSupport data validation and quality checksAI & Modern Data Concepts (Exposure + Growth):Contribute to initiatives involving knowledge graphs, semantic layers, or metadata-driven systemsSupport implementation of data mesh principles (domain-oriented datasets, data ownership, discoverability)Assist in preparing datasets for AI/ML use casesCollaboration:Work closely with Data Engineers, Analytics Engineers, and business teamsParticipate in requirements gathering and solution design discussionsDocumentation & Governance:Document data sources, definitions, and transformationsFollow data governance and quality standardsWhat you'll bring:Required:Bachelor’s degree in Data Analytics, Computer Science, Statistics, or related field0–2 years of experience in data analytics or related roleStrong foundational SQL skillsExperience with Excel and at least one BI tool (Tableau, Power BI, etc.)Basic understanding of data structures and relational databasesPreferred:Exposure to Python or R for data analysisFamiliarity with cloud data platforms (Snowflake, BigQuery, Redshift, etc.)Understanding of modern data stack conceptsAI & Data Platform Exposure (Nice to Have, Not Required)Awareness of knowledge graphs or semantic data modelsFamiliarity with data mesh or distributed data ownership conceptsExposure to AI/ML workflows or data preparation for AI use casesInterest in metadata, data lineage, and data discoverability Originally posted on Himalayas