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1–2 jobs· newest first

Business Intelligence Analyst
Kawneer · Norcross, US+1 more
Intern - HBM Component Validation
Micron Technology · Singapore
Internship · Intern

+10K new in the last hour

Business Intelligence Analyst

Kawneer · Posted Nov 4, 2026

Norcross, Georgia, United States +1 more
5+ years

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Designs, develops, and maintains analytics, intelligence, and visualization solutions to support decision-making across Kawneer.

Locations (2)

Norcross, Georgia, United States
Alpharetta, Georgia, United States

Responsibilities

Design, develop, and maintain analytics, intelligence, and visualization solutions that support operational and strategic decision-making.
Create dashboards, KPIs, semantic models, and analytical experiences that improve how business information is consumed and understood.
Leverage AI-assisted analytics, self-service capabilities, and modern Microsoft technologies to improve insight generation and analytical productivity.
Partner with business stakeholders to translate business questions into meaningful analytical solutions and actionable insights.
Improve the accessibility, consistency, quality, and trustworthiness of enterprise data and intelligence assets.

Requirements

Associate’s degree

Skills

Power BI Microsoft Fabric Azure analytics services cloud analytics platforms AI-assisted analytics Copilot semantic models data modeling KPI development reporting architecture visualization best practices Azure

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Intern - HBM Component Validation

Micron Technology · Posted Nov 4, 2026

Singapore
Internship · Intern

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Develop an AI-enabled analytics platform for High Bandwidth Memory component validation data using Tableau, Python/Java, and SQL.

Responsibilities

Develop a centralized Tableau dashboard platform for component validation analytics
Create reusable Python or Java data-processing workflows to ingest, clean, normalize, and integrate execution data
Design a standardized relational data model for cross-flow and cross-product analysis
Build interactive dashboards with plots, tables, trends, and statistical summaries
Explore AI-enabled methods for anomaly identification and root-cause investigation

Requirements

Pursuing a degree in Computer Science, Computer Engineering, Electrical and Computer Engineering, Data Science, or a related discipline
Nice to have: Generative AI
Nice to have: AI Assistants
Nice to have: Agentic AI
Nice to have: Large Language Models

Skills

Tableau Python Java Structured Query Language Data analytics

Statistical interpretation

Visualization best practices

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